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9240f648-72e2-4e5d-95de-a4d08593fe38
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,336
supabase-export-v2
8e81cef8c4e2d313
import http.cookiejar, urllib.request cj = http.cookiejar.CookieJar() opener = urllib.request.build_opener(urllib.request.HTTPCookieProcessor(cj)) r = opener.open("http://example.com/") This example illustrates how to open a URL using your Netscape, Mozilla, or Lynx cookies (assumes Unix/Netscape convention for locatio...
trusted_official_docs
CPython Docs
import http.cookiejar, urllib.request cj = http.cookiejar.CookieJar() opener = urllib.request.build_opener(urllib.request.HTTPCookieProcessor(cj)) r = opener.open("http://example.com/") This example illustrates how to open a URL using your Netscape, Mozilla, or Lynx cookies (assumes Unix/Netscape convention for locatio...
import http.cookiejar, urllib.request cj = http.cookiejar.CookieJar() opener = urllib.request.build_opener(urllib.request.HTTPCookieProcessor(cj)) r = opener.open("http://example.com/") This example illustrates how to open a URL using your Netscape, Mozilla, or Lynx cookies (assumes Unix/Netscape convention for locatio...
python, official-docs, cpython, P0
Local_Trusted_Corpus
975e5ccc-cd00-4308-abff-b620f2b34d21
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,237
supabase-export-v2
906969984c867e9a
Don't add :mailheader:`Cookie2` header to requests (the presence of this header indicates to the server that we understand :rfc:`2965` cookies). The most useful way to define a :class:`CookiePolicy` class is by subclassing from :class:`DefaultCookiePolicy` and overriding some or all of the methods above. :class:`Cookie...
trusted_official_docs
CPython Docs
Don't add :mailheader:`Cookie2` header to requests (the presence of this header indicates to the server that we understand :rfc:`2965` cookies). The most useful way to define a :class:`CookiePolicy` class is by subclassing from :class:`DefaultCookiePolicy` and overriding some or all of the methods above. :class:`Cookie...
Don't add :mailheader:`Cookie2` header to requests (the presence of this header indicates to the server that we understand :rfc:`2965` cookies). The most useful way to define a :class:`CookiePolicy` class is by subclassing from :class:`DefaultCookiePolicy` and overriding some or all of the methods above. :class:`Cookie...
python, official-docs, cpython, P0
Local_Trusted_Corpus
9f66f614-26e3-4218-8212-ac115fff1f7b
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,209
supabase-export-v2
de42d7b12aa28d9c
.. class:: LWPCookieJar(filename=None, delayload=None, policy=None) A :class:`FileCookieJar` that can load from and save cookies to disk in format compatible with the libwww-perl library's ``Set-Cookie3`` file format. This is convenient if you want to store cookies in a human-readable file.
trusted_official_docs
CPython Docs
.. class:: LWPCookieJar(filename=None, delayload=None, policy=None) A :class:`FileCookieJar` that can load from and save cookies to disk in format compatible with the libwww-perl library's ``Set-Cookie3`` file format. This is convenient if you want to store cookies in a human-readable file.
.. class:: LWPCookieJar(filename=None, delayload=None, policy=None) A :class:`FileCookieJar` that can load from and save cookies to disk in format compatible with the libwww-perl library's ``Set-Cookie3`` file format. This is convenient if you want to store cookies in a human-readable file.
python, official-docs, cpython, P0
Local_Trusted_Corpus
a1e6faed-fa8a-417b-8330-c763b84ab89a
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,113
supabase-export-v2
04fd0e70d2cb39ad
.. note:: The various named parameters found in :mailheader:`Set-Cookie` and :mailheader:`Set-Cookie2` headers (eg. ``domain`` and ``expires``) are conventionally referred to as :dfn:`attributes`. To distinguish them from Python attributes, the documentation for this module uses the term :dfn:`cookie-attribute` ins...
trusted_official_docs
CPython Docs
.. note:: The various named parameters found in :mailheader:`Set-Cookie` and :mailheader:`Set-Cookie2` headers (eg. ``domain`` and ``expires``) are conventionally referred to as :dfn:`attributes`. To distinguish them from Python attributes, the documentation for this module uses the term :dfn:`cookie-attribute` ins...
.. note:: The various named parameters found in :mailheader:`Set-Cookie` and :mailheader:`Set-Cookie2` headers (eg. ``domain`` and ``expires``) are conventionally referred to as :dfn:`attributes`. To distinguish them from Python attributes, the documentation for this module uses the term :dfn:`cookie-attribute` ins...
python, official-docs, cpython, P0
Local_Trusted_Corpus
aa58b3c1-70b7-4bd2-931e-fe0854d7b2cd
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,138
supabase-export-v2
44b6f8da36b25be1
Module :mod:`http.cookies` HTTP cookie classes, principally useful for server-side code. The :mod:`!http.cookiejar` and :mod:`http.cookies` modules do not depend on each other. https://curl.se/rfc/cookie_spec.html The specification of the original Netscape cookie protocol. Though this is still the dominant protocol, ...
trusted_official_docs
CPython Docs
Module :mod:`http.cookies` HTTP cookie classes, principally useful for server-side code. The :mod:`!http.cookiejar` and :mod:`http.cookies` modules do not depend on each other. https://curl.se/rfc/cookie_spec.html The specification of the original Netscape cookie protocol. Though this is still the dominant protocol, ...
Module :mod:`http.cookies` HTTP cookie classes, principally useful for server-side code. The :mod:`!http.cookiejar` and :mod:`http.cookies` modules do not depend on each other. https://curl.se/rfc/cookie_spec.html The specification of the original Netscape cookie protocol. Though this is still the dominant protocol, ...
python, official-docs, cpython, P0
Local_Trusted_Corpus
ace72d5f-1892-4492-b984-b093fedb12f1
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,183
supabase-export-v2
0bae7e96c7a43281
*ignore_discard*: save even cookies set to be discarded. *ignore_expires*: save even cookies that have expired The file is overwritten if it already exists, thus wiping all the cookies it contains. Saved cookies can be restored later using the :meth:`load` or :meth:`revert` methods.
trusted_official_docs
CPython Docs
*ignore_discard*: save even cookies set to be discarded. *ignore_expires*: save even cookies that have expired The file is overwritten if it already exists, thus wiping all the cookies it contains. Saved cookies can be restored later using the :meth:`load` or :meth:`revert` methods.
*ignore_discard*: save even cookies set to be discarded. *ignore_expires*: save even cookies that have expired The file is overwritten if it already exists, thus wiping all the cookies it contains. Saved cookies can be restored later using the :meth:`load` or :meth:`revert` methods.
python, official-docs, cpython, P0
Local_Trusted_Corpus
acfb3849-6d68-4474-9d94-4565277d8350
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,246
supabase-export-v2
2449df421f3d0f72
methods (and the corresponding argument and methods for *allowed_domains*). If you set an allowlist, you can turn it off again by setting it to :const:`None`. Domains in block or allow lists that do not start with a dot must equal the cookie domain to be matched. For example, ``"example.com"`` matches a blocklist entry...
trusted_official_docs
CPython Docs
methods (and the corresponding argument and methods for *allowed_domains*). If you set an allowlist, you can turn it off again by setting it to :const:`None`. Domains in block or allow lists that do not start with a dot must equal the cookie domain to be matched. For example, ``"example.com"`` matches a blocklist entry...
methods (and the corresponding argument and methods for *allowed_domains*). If you set an allowlist, you can turn it off again by setting it to :const:`None`. Domains in block or allow lists that do not start with a dot must equal the cookie domain to be matched. For example, ``"example.com"`` matches a blocklist entry...
python, official-docs, cpython, P0
Local_Trusted_Corpus
ae832d70-1bc6-497f-a407-ac83aa7a6bfb
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,175
supabase-export-v2
8e3332f77edffe23
Discard all session cookies. Discards all contained cookies that have a true :attr:`discard` attribute (usually because they had either no ``max-age`` or ``expires`` cookie-attribute, or an explicit ``discard`` cookie-attribute). For interactive browsers, the end of a session usually corresponds to closing the brows...
trusted_official_docs
CPython Docs
Discard all session cookies. Discards all contained cookies that have a true :attr:`discard` attribute (usually because they had either no ``max-age`` or ``expires`` cookie-attribute, or an explicit ``discard`` cookie-attribute). For interactive browsers, the end of a session usually corresponds to closing the brows...
Discard all session cookies. Discards all contained cookies that have a true :attr:`discard` attribute (usually because they had either no ``max-age`` or ``expires`` cookie-attribute, or an explicit ``discard`` cookie-attribute). For interactive browsers, the end of a session usually corresponds to closing the brows...
python, official-docs, cpython, P0
Local_Trusted_Corpus
b0fcb13f-4bf1-4ba7-8a5b-ba428e667833
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,339
supabase-export-v2
772f90e3dc5a6a6b
on :rfc:`2965` cookies, be more strict about domains when setting and returning Netscape cookies, and block some domains from setting cookies or having them returned:: import urllib.request from http.cookiejar import CookieJar, DefaultCookiePolicy policy = DefaultCookiePolicy( rfc2965=True, strict_ns_domain=Policy.D...
trusted_official_docs
CPython Docs
on :rfc:`2965` cookies, be more strict about domains when setting and returning Netscape cookies, and block some domains from setting cookies or having them returned:: import urllib.request from http.cookiejar import CookieJar, DefaultCookiePolicy policy = DefaultCookiePolicy( rfc2965=True, strict_ns_domain=Policy.D...
on :rfc:`2965` cookies, be more strict about domains when setting and returning Netscape cookies, and block some domains from setting cookies or having them returned:: import urllib.request from http.cookiejar import CookieJar, DefaultCookiePolicy policy = DefaultCookiePolicy( rfc2965=True, strict_ns_domain=Policy.D...
python, official-docs, cpython, P0
Local_Trusted_Corpus
b671693d-537e-422f-80de-0420f8aa125f
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,184
supabase-export-v2
31a7684286efb8e1
is overwritten if it already exists, thus wiping all the cookies it contains. Saved cookies can be restored later using the :meth:`load` or :meth:`revert` methods. .. method:: FileCookieJar.load(filename=None, ignore_discard=False, ignore_expires=False)
trusted_official_docs
CPython Docs
is overwritten if it already exists, thus wiping all the cookies it contains. Saved cookies can be restored later using the :meth:`load` or :meth:`revert` methods. .. method:: FileCookieJar.load(filename=None, ignore_discard=False, ignore_expires=False)
is overwritten if it already exists, thus wiping all the cookies it contains. Saved cookies can be restored later using the :meth:`load` or :meth:`revert` methods. .. method:: FileCookieJar.load(filename=None, ignore_discard=False, ignore_expires=False)
python, official-docs, cpython, P0
Local_Trusted_Corpus
b69c38e4-a14d-40b5-93e7-fdabb2ce9e28
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,207
supabase-export-v2
7d77e07cef5dc3a7
loss / corruption would be inconvenient (there are some subtleties which may lead to slight changes in the file over a load / save round-trip). Also note that cookies saved while Mozilla is running will get clobbered by Mozilla.
trusted_official_docs
CPython Docs
loss / corruption would be inconvenient (there are some subtleties which may lead to slight changes in the file over a load / save round-trip). Also note that cookies saved while Mozilla is running will get clobbered by Mozilla.
loss / corruption would be inconvenient (there are some subtleties which may lead to slight changes in the file over a load / save round-trip). Also note that cookies saved while Mozilla is running will get clobbered by Mozilla.
python, official-docs, cpython, P0
Local_Trusted_Corpus
bb39e651-defe-4f6c-8669-66123bd11ad2
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,131
supabase-export-v2
2012b8e7166a05f3
.. class:: DefaultCookiePolicy( blocked_domains=None, allowed_domains=None, netscape=True, rfc2965=False, rfc2109_as_netscape=None, hide_cookie2=False, strict_domain=False, strict_rfc2965_unverifiable=True, strict_ns_unverifiable=False, strict_ns_domain=DefaultCookiePolicy.DomainLiberal, strict_ns_set_initial_dollar=Fa...
trusted_official_docs
CPython Docs
.. class:: DefaultCookiePolicy( blocked_domains=None, allowed_domains=None, netscape=True, rfc2965=False, rfc2109_as_netscape=None, hide_cookie2=False, strict_domain=False, strict_rfc2965_unverifiable=True, strict_ns_unverifiable=False, strict_ns_domain=DefaultCookiePolicy.DomainLiberal, strict_ns_set_initial_dollar=Fa...
.. class:: DefaultCookiePolicy( blocked_domains=None, allowed_domains=None, netscape=True, rfc2965=False, rfc2109_as_netscape=None, hide_cookie2=False, strict_domain=False, strict_rfc2965_unverifiable=True, strict_ns_unverifiable=False, strict_ns_domain=DefaultCookiePolicy.DomainLiberal, strict_ns_set_initial_dollar=Fa...
python, official-docs, cpython, P0
Local_Trusted_Corpus
bedf2f1d-182b-4fd2-9348-e37d6e2dffcc
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,150
supabase-export-v2
71702a794d4a840b
allows (ie. the :attr:`rfc2965` and :attr:`hide_cookie2` attributes of the :class:`CookieJar`'s :class:`CookiePolicy` instance are true and false respectively), the :mailheader:`Cookie2` header is also added when appropriate. The *request* object (usually a :class:`urllib.request.Request` instance) must support the me...
trusted_official_docs
CPython Docs
allows (ie. the :attr:`rfc2965` and :attr:`hide_cookie2` attributes of the :class:`CookieJar`'s :class:`CookiePolicy` instance are true and false respectively), the :mailheader:`Cookie2` header is also added when appropriate. The *request* object (usually a :class:`urllib.request.Request` instance) must support the me...
allows (ie. the :attr:`rfc2965` and :attr:`hide_cookie2` attributes of the :class:`CookieJar`'s :class:`CookiePolicy` instance are true and false respectively), the :mailheader:`Cookie2` header is also added when appropriate. The *request* object (usually a :class:`urllib.request.Request` instance) must support the me...
python, official-docs, cpython, P0
Local_Trusted_Corpus
bf11707b-9373-4e21-89e0-c7c25d51bb5e
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,338
supabase-export-v2
6b319f3a9cd71bb5
import os, http.cookiejar, urllib.request cj = http.cookiejar.MozillaCookieJar() cj.load(os.path.join(os.path.expanduser("~"), ".netscape", "cookies.txt")) opener = urllib.request.build_opener(urllib.request.HTTPCookieProcessor(cj)) r = opener.open("http://example.com/") The next example illustrates the use of :class:`...
trusted_official_docs
CPython Docs
import os, http.cookiejar, urllib.request cj = http.cookiejar.MozillaCookieJar() cj.load(os.path.join(os.path.expanduser("~"), ".netscape", "cookies.txt")) opener = urllib.request.build_opener(urllib.request.HTTPCookieProcessor(cj)) r = opener.open("http://example.com/") The next example illustrates the use of :class:`...
import os, http.cookiejar, urllib.request cj = http.cookiejar.MozillaCookieJar() cj.load(os.path.join(os.path.expanduser("~"), ".netscape", "cookies.txt")) opener = urllib.request.build_opener(urllib.request.HTTPCookieProcessor(cj)) r = opener.open("http://example.com/") The next example illustrates the use of :class:`...
python, official-docs, cpython, P0
Local_Trusted_Corpus
c3fd0506-ecf7-45b4-b25e-e3d32fb13b29
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,189
supabase-export-v2
599f05a01e608b6a
in the format understood by the class, or :exc:`LoadError` will be raised. Also, :exc:`OSError` may be raised, for example if the file does not exist. .. versionchanged:: 3.3 :exc:`IOError` used to be raised, it is now an alias of :exc:`OSError`.
trusted_official_docs
CPython Docs
in the format understood by the class, or :exc:`LoadError` will be raised. Also, :exc:`OSError` may be raised, for example if the file does not exist. .. versionchanged:: 3.3 :exc:`IOError` used to be raised, it is now an alias of :exc:`OSError`.
in the format understood by the class, or :exc:`LoadError` will be raised. Also, :exc:`OSError` may be raised, for example if the file does not exist. .. versionchanged:: 3.3 :exc:`IOError` used to be raised, it is now an alias of :exc:`OSError`.
python, official-docs, cpython, P0
Local_Trusted_Corpus
cf3f70e3-a8fd-45f6-a0fe-f27aa2191fa0
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,125
supabase-export-v2
6ed3e0d98b66ae19
are **NOT** loaded from the named file until either the :meth:`load` or :meth:`revert` method is called. Subclasses of this class are documented in section :ref:`file-cookie-jar-classes`. This should not be initialized directly – use its subclasses below instead.
trusted_official_docs
CPython Docs
are **NOT** loaded from the named file until either the :meth:`load` or :meth:`revert` method is called. Subclasses of this class are documented in section :ref:`file-cookie-jar-classes`. This should not be initialized directly – use its subclasses below instead.
are **NOT** loaded from the named file until either the :meth:`load` or :meth:`revert` method is called. Subclasses of this class are documented in section :ref:`file-cookie-jar-classes`. This should not be initialized directly – use its subclasses below instead.
python, official-docs, cpython, P0
Local_Trusted_Corpus
d1310553-1750-4b95-afe1-e149733adfbc
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,294
supabase-export-v2
67f590f68c423132
.. attribute:: Cookie.version Integer or :const:`None`. Netscape cookies have :attr:`version` 0. :rfc:`2965` and :rfc:`2109` cookies have a ``version`` cookie-attribute of 1. However, note that :mod:`!http.cookiejar` may 'downgrade' RFC 2109 cookies to Netscape cookies, in which case :attr:`version` is 0.
trusted_official_docs
CPython Docs
.. attribute:: Cookie.version Integer or :const:`None`. Netscape cookies have :attr:`version` 0. :rfc:`2965` and :rfc:`2109` cookies have a ``version`` cookie-attribute of 1. However, note that :mod:`!http.cookiejar` may 'downgrade' RFC 2109 cookies to Netscape cookies, in which case :attr:`version` is 0.
.. attribute:: Cookie.version Integer or :const:`None`. Netscape cookies have :attr:`version` 0. :rfc:`2965` and :rfc:`2109` cookies have a ``version`` cookie-attribute of 1. However, note that :mod:`!http.cookiejar` may 'downgrade' RFC 2109 cookies to Netscape cookies, in which case :attr:`version` is 0.
python, official-docs, cpython, P0
Local_Trusted_Corpus
d18c1387-8e41-4ad7-9377-019c13619e78
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,230
supabase-export-v2
0d785f86102853ef
See the documentation for :meth:`domain_return_ok`. In addition to implementing the methods above, implementations of the :class:`CookiePolicy` interface must also supply the following attributes, indicating which protocols should be used, and how. All of these attributes may be assigned to.
trusted_official_docs
CPython Docs
See the documentation for :meth:`domain_return_ok`. In addition to implementing the methods above, implementations of the :class:`CookiePolicy` interface must also supply the following attributes, indicating which protocols should be used, and how. All of these attributes may be assigned to.
See the documentation for :meth:`domain_return_ok`. In addition to implementing the methods above, implementations of the :class:`CookiePolicy` interface must also supply the following attributes, indicating which protocols should be used, and how. All of these attributes may be assigned to.
python, official-docs, cpython, P0
Local_Trusted_Corpus
d2ae43a6-337b-4dfa-a43e-f5fbce86d485
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,157
supabase-export-v2
5e64d7bf1c6fdc7f
The *response* object (usually the result of a call to :meth:`urllib.request.urlopen`, or similar) should support an :meth:`info` method, which returns an :class:`email.message.Message` instance. The *request* object (usually a :class:`urllib.request.Request` instance) must support the method :meth:`get_full_url` and ...
trusted_official_docs
CPython Docs
The *response* object (usually the result of a call to :meth:`urllib.request.urlopen`, or similar) should support an :meth:`info` method, which returns an :class:`email.message.Message` instance. The *request* object (usually a :class:`urllib.request.Request` instance) must support the method :meth:`get_full_url` and ...
The *response* object (usually the result of a call to :meth:`urllib.request.urlopen`, or similar) should support an :meth:`info` method, which returns an :class:`email.message.Message` instance. The *request* object (usually a :class:`urllib.request.Request` instance) must support the method :meth:`get_full_url` and ...
python, official-docs, cpython, P0
Local_Trusted_Corpus
d4784246-df13-41c7-afa5-8c9e07795258
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,117
supabase-export-v2
0b2a41dd8161810c
Instances of :class:`FileCookieJar` raise this exception on failure to load cookies from a file. :exc:`LoadError` is a subclass of :exc:`OSError`. .. versionchanged:: 3.3 :exc:`LoadError` used to be a subtype of :exc:`IOError`, which is now an alias of :exc:`OSError`.
trusted_official_docs
CPython Docs
Instances of :class:`FileCookieJar` raise this exception on failure to load cookies from a file. :exc:`LoadError` is a subclass of :exc:`OSError`. .. versionchanged:: 3.3 :exc:`LoadError` used to be a subtype of :exc:`IOError`, which is now an alias of :exc:`OSError`.
Instances of :class:`FileCookieJar` raise this exception on failure to load cookies from a file. :exc:`LoadError` is a subclass of :exc:`OSError`. .. versionchanged:: 3.3 :exc:`LoadError` used to be a subtype of :exc:`IOError`, which is now an alias of :exc:`OSError`.
python, official-docs, cpython, P0
Local_Trusted_Corpus
de20d166-edc3-4e65-a9ea-59b370dfdc44
CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
unknown
fa37f1c3-70b4-457e-829d-0ad0a30352cf
14,188
supabase-export-v2
dbeadf4c1e78f496
Arguments are as for :meth:`save`. The named file must be in the format understood by the class, or :exc:`LoadError` will be raised. Also, :exc:`OSError` may be raised, for example if the file does not exist.
trusted_official_docs
CPython Docs
Arguments are as for :meth:`save`. The named file must be in the format understood by the class, or :exc:`LoadError` will be raised. Also, :exc:`OSError` may be raised, for example if the file does not exist.
Arguments are as for :meth:`save`. The named file must be in the format understood by the class, or :exc:`LoadError` will be raised. Also, :exc:`OSError` may be raised, for example if the file does not exist.
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CPython Docs
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*policy* is an object implementing the :class:`CookiePolicy` interface. The :class:`CookieJar` class stores HTTP cookies. It extracts cookies from HTTP requests, and returns them in HTTP responses. :class:`CookieJar` instances automatically expire contained cookies when necessary. Subclasses are also responsible for...
trusted_official_docs
CPython Docs
*policy* is an object implementing the :class:`CookiePolicy` interface. The :class:`CookieJar` class stores HTTP cookies. It extracts cookies from HTTP requests, and returns them in HTTP responses. :class:`CookieJar` instances automatically expire contained cookies when necessary. Subclasses are also responsible for...
*policy* is an object implementing the :class:`CookiePolicy` interface. The :class:`CookieJar` class stores HTTP cookies. It extracts cookies from HTTP requests, and returns them in HTTP responses. :class:`CookieJar` instances automatically expire contained cookies when necessary. Subclasses are also responsible for...
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Local_Trusted_Corpus
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file://datasets/cpython/Doc/library/http.cookiejar.rst
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Clear some cookies. If invoked without arguments, clear all cookies. If given a single argument, only cookies belonging to that *domain* will be removed. If given two arguments, cookies belonging to the specified *domain* and URL *path* are removed. If given three arguments, then the cookie with the specified *domai...
trusted_official_docs
CPython Docs
Clear some cookies. If invoked without arguments, clear all cookies. If given a single argument, only cookies belonging to that *domain* will be removed. If given two arguments, cookies belonging to the specified *domain* and URL *path* are removed. If given three arguments, then the cookie with the specified *domai...
Clear some cookies. If invoked without arguments, clear all cookies. If given a single argument, only cookies belonging to that *domain* will be removed. If given two arguments, cookies belonging to the specified *domain* and URL *path* are removed. If given three arguments, then the cookie with the specified *domai...
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CPython Docs
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.. attribute:: DefaultCookiePolicy.DomainStrictNonDomain Cookies that did not explicitly specify a ``domain`` cookie-attribute can only be returned to a domain equal to the domain that set the cookie (eg. ``spam.example.com`` won't be returned cookies from ``example.com`` that had no ``domain`` cookie-attribute).
trusted_official_docs
CPython Docs
.. attribute:: DefaultCookiePolicy.DomainStrictNonDomain Cookies that did not explicitly specify a ``domain`` cookie-attribute can only be returned to a domain equal to the domain that set the cookie (eg. ``spam.example.com`` won't be returned cookies from ``example.com`` that had no ``domain`` cookie-attribute).
.. attribute:: DefaultCookiePolicy.DomainStrictNonDomain Cookies that did not explicitly specify a ``domain`` cookie-attribute can only be returned to a domain equal to the domain that set the cookie (eg. ``spam.example.com`` won't be returned cookies from ``example.com`` that had no ``domain`` cookie-attribute).
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*filename* is not specified, :attr:`self.filename` is used (whose default is the value passed to the constructor, if any); if :attr:`self.filename` is :const:`None`, :exc:`ValueError` is raised. *ignore_discard*: save even cookies set to be discarded. *ignore_expires*: save even cookies that have expired
trusted_official_docs
CPython Docs
*filename* is not specified, :attr:`self.filename` is used (whose default is the value passed to the constructor, if any); if :attr:`self.filename` is :const:`None`, :exc:`ValueError` is raised. *ignore_discard*: save even cookies set to be discarded. *ignore_expires*: save even cookies that have expired
*filename* is not specified, :attr:`self.filename` is used (whose default is the value passed to the constructor, if any); if :attr:`self.filename` is :const:`None`, :exc:`ValueError` is raised. *ignore_discard*: save even cookies set to be discarded. *ignore_expires*: save even cookies that have expired
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:rfc:`2109` - HTTP State Management Mechanism Obsoleted by :rfc:`2965`. Uses :mailheader:`Set-Cookie` with version=1. :rfc:`2965` - HTTP State Management Mechanism The Netscape protocol with the bugs fixed. Uses :mailheader:`Set-Cookie2` in place of :mailheader:`Set-Cookie`. Not widely used.
trusted_official_docs
CPython Docs
:rfc:`2109` - HTTP State Management Mechanism Obsoleted by :rfc:`2965`. Uses :mailheader:`Set-Cookie` with version=1. :rfc:`2965` - HTTP State Management Mechanism The Netscape protocol with the bugs fixed. Uses :mailheader:`Set-Cookie2` in place of :mailheader:`Set-Cookie`. Not widely used.
:rfc:`2109` - HTTP State Management Mechanism Obsoleted by :rfc:`2965`. Uses :mailheader:`Set-Cookie` with version=1. :rfc:`2965` - HTTP State Management Mechanism The Netscape protocol with the bugs fixed. Uses :mailheader:`Set-Cookie2` in place of :mailheader:`Set-Cookie`. Not widely used.
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CPython Docs
file://datasets/cpython/Doc/library/http.cookiejar.rst
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*request* domain. For example, the function might be called with both ``".example.com"`` and ``"www.example.com"`` if the request domain is ``"www.example.com"``. The same goes for :meth:`path_return_ok`. The *request* argument is as documented for :meth:`return_ok`.
trusted_official_docs
CPython Docs
*request* domain. For example, the function might be called with both ``".example.com"`` and ``"www.example.com"`` if the request domain is ``"www.example.com"``. The same goes for :meth:`path_return_ok`. The *request* argument is as documented for :meth:`return_ok`.
*request* domain. For example, the function might be called with both ``".example.com"`` and ``"www.example.com"`` if the request domain is ``"www.example.com"``. The same goes for :meth:`path_return_ok`. The *request* argument is as documented for :meth:`return_ok`.
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Both :rfc:`2965` and Netscape cookies are covered. RFC 2965 handling is switched off by default. The easiest way to provide your own policy is to override this class and call its methods in your overridden implementations before adding your own additional checks::
trusted_official_docs
CPython Docs
Both :rfc:`2965` and Netscape cookies are covered. RFC 2965 handling is switched off by default. The easiest way to provide your own policy is to override this class and call its methods in your overridden implementations before adding your own additional checks::
Both :rfc:`2965` and Netscape cookies are covered. RFC 2965 handling is switched off by default. The easiest way to provide your own policy is to override this class and call its methods in your overridden implementations before adding your own additional checks::
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.. class:: MozillaCookieJar(filename=None, delayload=None, policy=None) A :class:`FileCookieJar` that can load from and save cookies to disk in the Mozilla ``cookies.txt`` file format (which is also used by curl and the Lynx and Netscape browsers).
trusted_official_docs
CPython Docs
.. class:: MozillaCookieJar(filename=None, delayload=None, policy=None) A :class:`FileCookieJar` that can load from and save cookies to disk in the Mozilla ``cookies.txt`` file format (which is also used by curl and the Lynx and Netscape browsers).
.. class:: MozillaCookieJar(filename=None, delayload=None, policy=None) A :class:`FileCookieJar` that can load from and save cookies to disk in the Mozilla ``cookies.txt`` file format (which is also used by curl and the Lynx and Netscape browsers).
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checking every cookie with a particular domain (which might involve reading many files). Returning true from :meth:`domain_return_ok` and :meth:`path_return_ok` leaves all the work to :meth:`return_ok`. If :meth:`domain_return_ok` returns true for the cookie domain, :meth:`path_return_ok` is called for the cookie path...
trusted_official_docs
CPython Docs
checking every cookie with a particular domain (which might involve reading many files). Returning true from :meth:`domain_return_ok` and :meth:`path_return_ok` leaves all the work to :meth:`return_ok`. If :meth:`domain_return_ok` returns true for the cookie domain, :meth:`path_return_ok` is called for the cookie path...
checking every cookie with a particular domain (which might involve reading many files). Returning true from :meth:`domain_return_ok` and :meth:`path_return_ok` leaves all the work to :meth:`return_ok`. If :meth:`domain_return_ok` returns true for the cookie domain, :meth:`path_return_ok` is called for the cookie path...
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CPython Docs
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You can see in this example how a 'standard' call to ``assert_called_with`` isn't sufficient: >>> class Foo: ... def __init__(self, a, b): ... self.a, self.b = a, b ... >>> mock = Mock(return_value=None) >>> mock(Foo(1, 2)) >>> mock.assert_called_with(Foo(1, 2)) Traceback (most recent call last): ... AssertionEr...
trusted_official_docs
CPython Docs
You can see in this example how a 'standard' call to ``assert_called_with`` isn't sufficient: >>> class Foo: ... def __init__(self, a, b): ... self.a, self.b = a, b ... >>> mock = Mock(return_value=None) >>> mock(Foo(1, 2)) >>> mock.assert_called_with(Foo(1, 2)) Traceback (most recent call last): ... AssertionEr...
You can see in this example how a 'standard' call to ``assert_called_with`` isn't sufficient: >>> class Foo: ... def __init__(self, a, b): ... self.a, self.b = a, b ... >>> mock = Mock(return_value=None) >>> mock(Foo(1, 2)) >>> mock.assert_called_with(Foo(1, 2)) Traceback (most recent call last): ... AssertionEr...
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CPython Docs
file://datasets/cpython/Doc/library/unittest.mock-examples.rst
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>>> mock = Mock() >>> with patch.dict('sys.modules', {'fooble': mock}): ... from fooble import blob ... blob.blip() ... <Mock name='mock.blob.blip()' id='...'> >>> mock.blob.blip.assert_called_once_with() With slightly more work you can also mock package imports:
trusted_official_docs
CPython Docs
>>> mock = Mock() >>> with patch.dict('sys.modules', {'fooble': mock}): ... from fooble import blob ... blob.blip() ... <Mock name='mock.blob.blip()' id='...'> >>> mock.blob.blip.assert_called_once_with() With slightly more work you can also mock package imports:
>>> mock = Mock() >>> with patch.dict('sys.modules', {'fooble': mock}): ... from fooble import blob ... blob.blip() ... <Mock name='mock.blob.blip()' id='...'> >>> mock.blob.blip.assert_called_once_with() With slightly more work you can also mock package imports:
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>>> match_foo = Matcher(compare, Foo(1, 2)) >>> mock.assert_called_with(match_foo) The ``Matcher`` is instantiated with our compare function and the ``Foo`` object we want to compare against. In ``assert_called_with`` the ``Matcher`` equality method will be called, which compares the object the mock was called with aga...
trusted_official_docs
CPython Docs
>>> match_foo = Matcher(compare, Foo(1, 2)) >>> mock.assert_called_with(match_foo) The ``Matcher`` is instantiated with our compare function and the ``Foo`` object we want to compare against. In ``assert_called_with`` the ``Matcher`` equality method will be called, which compares the object the mock was called with aga...
>>> match_foo = Matcher(compare, Foo(1, 2)) >>> mock.assert_called_with(match_foo) The ``Matcher`` is instantiated with our compare function and the ``Foo`` object we want to compare against. In ``assert_called_with`` the ``Matcher`` equality method will be called, which compares the object the mock was called with aga...
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How would we mock this class, and in particular its "iter" method? To configure the values returned from the iteration (implicit in the call to :class:`list`), we need to configure the object returned by the call to ``foo.iter()``.
trusted_official_docs
CPython Docs
How would we mock this class, and in particular its "iter" method? To configure the values returned from the iteration (implicit in the call to :class:`list`), we need to configure the object returned by the call to ``foo.iter()``.
How would we mock this class, and in particular its "iter" method? To configure the values returned from the iteration (implicit in the call to :class:`list`), we need to configure the object returned by the call to ``foo.iter()``.
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CPython Docs
file://datasets/cpython/Doc/library/unittest.mock-examples.rst
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When we try to test that ``grob`` calls ``frob`` with the correct argument look what happens:: >>> with patch('mymodule.frob') as mock_frob: ... val = {6} ... mymodule.grob(val) ... >>> val set() >>> mock_frob.assert_called_with({6}) Traceback (most recent call last): ... AssertionError: Expected: (({6},), {}) ...
trusted_official_docs
CPython Docs
When we try to test that ``grob`` calls ``frob`` with the correct argument look what happens:: >>> with patch('mymodule.frob') as mock_frob: ... val = {6} ... mymodule.grob(val) ... >>> val set() >>> mock_frob.assert_called_with({6}) Traceback (most recent call last): ... AssertionError: Expected: (({6},), {}) ...
When we try to test that ``grob`` calls ``frob`` with the correct argument look what happens:: >>> with patch('mymodule.frob') as mock_frob: ... val = {6} ... mymodule.grob(val) ... >>> val set() >>> mock_frob.assert_called_with({6}) Traceback (most recent call last): ... AssertionError: Expected: (({6},), {}) ...
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With slightly more work you can also mock package imports: >>> mock = Mock() >>> modules = {'package': mock, 'package.module': mock.module} >>> with patch.dict('sys.modules', modules): ... from package.module import fooble ... fooble() ... <Mock name='mock.module.fooble()' id='...'> >>> mock.module.fooble.assert_...
trusted_official_docs
CPython Docs
With slightly more work you can also mock package imports: >>> mock = Mock() >>> modules = {'package': mock, 'package.module': mock.module} >>> with patch.dict('sys.modules', modules): ... from package.module import fooble ... fooble() ... <Mock name='mock.module.fooble()' id='...'> >>> mock.module.fooble.assert_...
With slightly more work you can also mock package imports: >>> mock = Mock() >>> modules = {'package': mock, 'package.module': mock.module} >>> with patch.dict('sys.modules', modules): ... from package.module import fooble ... fooble() ... <Mock name='mock.module.fooble()' id='...'> >>> mock.module.fooble.assert_...
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once there is an easier way of checking arguments at the point they are called. You can simply do the checking inside a ``side_effect`` function. >>> def side_effect(arg): ... assert arg == {6} ... >>> mock = Mock(side_effect=side_effect) >>> mock({6}) >>> mock(set()) Traceback (most recent call last): ... Assert...
trusted_official_docs
CPython Docs
once there is an easier way of checking arguments at the point they are called. You can simply do the checking inside a ``side_effect`` function. >>> def side_effect(arg): ... assert arg == {6} ... >>> mock = Mock(side_effect=side_effect) >>> mock({6}) >>> mock(set()) Traceback (most recent call last): ... Assert...
once there is an easier way of checking arguments at the point they are called. You can simply do the checking inside a ``side_effect`` function. >>> def side_effect(arg): ... assert arg == {6} ... >>> mock = Mock(side_effect=side_effect) >>> mock({6}) >>> mock(set()) Traceback (most recent call last): ... Assert...
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Tracking all calls ~~~~~~~~~~~~~~~~~~ Often you want to track more than a single call to a method. The :attr:`~Mock.mock_calls` attribute records all calls to child attributes of the mock - and also to their children.
trusted_official_docs
CPython Docs
Tracking all calls ~~~~~~~~~~~~~~~~~~ Often you want to track more than a single call to a method. The :attr:`~Mock.mock_calls` attribute records all calls to child attributes of the mock - and also to their children.
Tracking all calls ~~~~~~~~~~~~~~~~~~ Often you want to track more than a single call to a method. The :attr:`~Mock.mock_calls` attribute records all calls to child attributes of the mock - and also to their children.
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Coping with mutable arguments ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Another situation is rare, but can bite you, is when your mock is called with mutable arguments. ``call_args`` and ``call_args_list`` store *references* to the arguments. If the arguments are mutated by the code under test then you can no longer make assertion...
trusted_official_docs
CPython Docs
Coping with mutable arguments ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Another situation is rare, but can bite you, is when your mock is called with mutable arguments. ``call_args`` and ``call_args_list`` store *references* to the arguments. If the arguments are mutated by the code under test then you can no longer make assertion...
Coping with mutable arguments ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Another situation is rare, but can bite you, is when your mock is called with mutable arguments. ``call_args`` and ``call_args_list`` store *references* to the arguments. If the arguments are mutated by the code under test then you can no longer make assertion...
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Matcher(compare, Foo(3, 4)) >>> mock.assert_called_with(match_wrong) Traceback (most recent call last): ... AssertionError: Expected: ((<Matcher object at 0x...>,), {}) Called with: ((<Foo object at 0x...>,), {}) With a bit of tweaking you could have the comparison function raise the :exc:`AssertionError` directly and ...
trusted_official_docs
CPython Docs
Matcher(compare, Foo(3, 4)) >>> mock.assert_called_with(match_wrong) Traceback (most recent call last): ... AssertionError: Expected: ((<Matcher object at 0x...>,), {}) Called with: ((<Foo object at 0x...>,), {}) With a bit of tweaking you could have the comparison function raise the :exc:`AssertionError` directly and ...
Matcher(compare, Foo(3, 4)) >>> mock.assert_called_with(match_wrong) Traceback (most recent call last): ... AssertionError: Expected: ((<Matcher object at 0x...>,), {}) Called with: ((<Foo object at 0x...>,), {}) With a bit of tweaking you could have the comparison function raise the :exc:`AssertionError` directly and ...
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Note that we don't patch :class:`datetime.date` globally, we patch ``date`` in the module that *uses* it. See :ref:`where to patch <where-to-patch>`. When ``date.today()`` is called a known date is returned, but calls to the ``date(...)`` constructor still return normal dates. Without this you can find yourself having ...
trusted_official_docs
CPython Docs
Note that we don't patch :class:`datetime.date` globally, we patch ``date`` in the module that *uses* it. See :ref:`where to patch <where-to-patch>`. When ``date.today()`` is called a known date is returned, but calls to the ``date(...)`` constructor still return normal dates. Without this you can find yourself having ...
Note that we don't patch :class:`datetime.date` globally, we patch ``date`` in the module that *uses* it. See :ref:`where to patch <where-to-patch>`. When ``date.today()`` is called a known date is returned, but calls to the ``date(...)`` constructor still return normal dates. Without this you can find yourself having ...
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>>> mock_foo = MagicMock() >>> mock_foo.iter.return_value = iter([1, 2, 3]) >>> list(mock_foo.iter()) [1, 2, 3] .. [#] There are also generator expressions and more `advanced uses <http://www.dabeaz.com/coroutines/index.html>`_ of generators, but we aren't concerned about them here. A very good introduction to genera...
trusted_official_docs
CPython Docs
>>> mock_foo = MagicMock() >>> mock_foo.iter.return_value = iter([1, 2, 3]) >>> list(mock_foo.iter()) [1, 2, 3] .. [#] There are also generator expressions and more `advanced uses <http://www.dabeaz.com/coroutines/index.html>`_ of generators, but we aren't concerned about them here. A very good introduction to genera...
>>> mock_foo = MagicMock() >>> mock_foo.iter.return_value = iter([1, 2, 3]) >>> list(mock_foo.iter()) [1, 2, 3] .. [#] There are also generator expressions and more `advanced uses <http://www.dabeaz.com/coroutines/index.html>`_ of generators, but we aren't concerned about them here. A very good introduction to genera...
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in one line of code, so there will be several entries in ``mock_calls``. We can use :meth:`call.call_list` to create this list of calls for us:: >>> chained = call.get_endpoint('foobar').create_call('spam', 'eggs').start_call() >>> call_list = chained.call_list() >>> assert mock_backend.mock_calls == call_list
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CPython Docs
in one line of code, so there will be several entries in ``mock_calls``. We can use :meth:`call.call_list` to create this list of calls for us:: >>> chained = call.get_endpoint('foobar').create_call('spam', 'eggs').start_call() >>> call_list = chained.call_list() >>> assert mock_backend.mock_calls == call_list
in one line of code, so there will be several entries in ``mock_calls``. We can use :meth:`call.call_list` to create this list of calls for us:: >>> chained = call.get_endpoint('foobar').create_call('spam', 'eggs').start_call() >>> call_list = chained.call_list() >>> assert mock_backend.mock_calls == call_list
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:func:`patch` with only one argument (or :func:`patch.object` with two arguments). The mock will be created for you and passed into the test function / method: >>> class MyTest(unittest.TestCase): ... @patch.object(SomeClass, 'static_method') ... def test_something(self, mock_method): ... SomeClass.static_method() ...
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:func:`patch` with only one argument (or :func:`patch.object` with two arguments). The mock will be created for you and passed into the test function / method: >>> class MyTest(unittest.TestCase): ... @patch.object(SomeClass, 'static_method') ... def test_something(self, mock_method): ... SomeClass.static_method() ...
:func:`patch` with only one argument (or :func:`patch.object` with two arguments). The mock will be created for you and passed into the test function / method: >>> class MyTest(unittest.TestCase): ... @patch.object(SomeClass, 'static_method') ... def test_something(self, mock_method): ... SomeClass.static_method() ...
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class Foo: ... def iter(self): ... for i in [1, 2, 3]: ... yield i ... >>> foo = Foo() >>> list(foo.iter()) [1, 2, 3] How would we mock this class, and in particular its "iter" method?
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class Foo: ... def iter(self): ... for i in [1, 2, 3]: ... yield i ... >>> foo = Foo() >>> list(foo.iter()) [1, 2, 3] How would we mock this class, and in particular its "iter" method?
class Foo: ... def iter(self): ... for i in [1, 2, 3]: ... yield i ... >>> foo = Foo() >>> list(foo.iter()) [1, 2, 3] How would we mock this class, and in particular its "iter" method?
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If you want this smarter matching to also work with method calls on the mock, you can use :ref:`auto-speccing <auto-speccing>`. If you want a stronger form of specification that prevents the setting of arbitrary attributes as well as the getting of them then you can use *spec_set* instead of *spec*.
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If you want this smarter matching to also work with method calls on the mock, you can use :ref:`auto-speccing <auto-speccing>`. If you want a stronger form of specification that prevents the setting of arbitrary attributes as well as the getting of them then you can use *spec_set* instead of *spec*.
If you want this smarter matching to also work with method calls on the mock, you can use :ref:`auto-speccing <auto-speccing>`. If you want a stronger form of specification that prevents the setting of arbitrary attributes as well as the getting of them then you can use *spec_set* instead of *spec*.
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will behave like a normal dictionary but recording the access. It even raises a :exc:`KeyError` if you try to access a key that doesn't exist. >>> mock['a'] 1 >>> mock['c'] 3 >>> mock['d'] Traceback (most recent call last): ... KeyError: 'd' >>> mock['b'] = 'fish' >>> mock['d'] = 'eggs' >>> mock['b'] 'fish' ...
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will behave like a normal dictionary but recording the access. It even raises a :exc:`KeyError` if you try to access a key that doesn't exist. >>> mock['a'] 1 >>> mock['c'] 3 >>> mock['d'] Traceback (most recent call last): ... KeyError: 'd' >>> mock['b'] = 'fish' >>> mock['d'] = 'eggs' >>> mock['b'] 'fish' ...
will behave like a normal dictionary but recording the access. It even raises a :exc:`KeyError` if you try to access a key that doesn't exist. >>> mock['a'] 1 >>> mock['c'] 3 >>> mock['d'] Traceback (most recent call last): ... KeyError: 'd' >>> mock['b'] = 'fish' >>> mock['d'] = 'eggs' >>> mock['b'] 'fish' ...
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A comparison function for our ``Foo`` class might look something like this: >>> def compare(self, other): ... if not type(self) == type(other): ... return False ... if self.a != other.a: ... return False ... if self.b != other.b: ... return False ... return True ...
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A comparison function for our ``Foo`` class might look something like this: >>> def compare(self, other): ... if not type(self) == type(other): ... return False ... if self.a != other.a: ... return False ... if self.b != other.b: ... return False ... return True ...
A comparison function for our ``Foo`` class might look something like this: >>> def compare(self, other): ... if not type(self) == type(other): ... return False ... if self.a != other.a: ... return False ... if self.b != other.b: ... return False ... return True ...
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the code under test from creating new date objects. Unfortunately :class:`datetime.date` is written in C, so you cannot just monkey-patch out the static :meth:`datetime.date.today` method. Instead, you can effectively wrap the date class with a mock, while passing through calls to the constructor to the real class (and...
trusted_official_docs
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the code under test from creating new date objects. Unfortunately :class:`datetime.date` is written in C, so you cannot just monkey-patch out the static :meth:`datetime.date.today` method. Instead, you can effectively wrap the date class with a mock, while passing through calls to the constructor to the real class (and...
the code under test from creating new date objects. Unfortunately :class:`datetime.date` is written in C, so you cannot just monkey-patch out the static :meth:`datetime.date.today` method. Instead, you can effectively wrap the date class with a mock, while passing through calls to the constructor to the real class (and...
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Side effect functions and iterables ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ``side_effect`` can also be set to a function or an iterable. The use case for ``side_effect`` as an iterable is where your mock is going to be called several times, and you want each call to return a different value. When you set ``side_effect`` t...
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Side effect functions and iterables ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ``side_effect`` can also be set to a function or an iterable. The use case for ``side_effect`` as an iterable is where your mock is going to be called several times, and you want each call to return a different value. When you set ``side_effect`` t...
Side effect functions and iterables ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ``side_effect`` can also be set to a function or an iterable. The use case for ``side_effect`` as an iterable is where your mock is going to be called several times, and you want each call to return a different value. When you set ``side_effect`` t...
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>>> expected = [call.method(), call.attribute.method(10, x=53)] >>> mock.mock_calls == expected True However, parameters to calls that return mocks are not recorded, which means it is not possible to track nested calls where the parameters used to create ancestors are important:
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>>> expected = [call.method(), call.attribute.method(10, x=53)] >>> mock.mock_calls == expected True However, parameters to calls that return mocks are not recorded, which means it is not possible to track nested calls where the parameters used to create ancestors are important:
>>> expected = [call.method(), call.attribute.method(10, x=53)] >>> mock.mock_calls == expected True However, parameters to calls that return mocks are not recorded, which means it is not possible to track nested calls where the parameters used to create ancestors are important:
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MagicMock(AsyncContextManager()) # AsyncMock also works here >>> async def main(): ... async with mock_instance as result: ... pass ... >>> asyncio.run(main()) >>> mock_instance.__aenter__.assert_awaited_once() >>> mock_instance.__aexit__.assert_awaited_once() Creating a mock from an existing object ~~~~~~~~~~~~~~~~~~~...
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MagicMock(AsyncContextManager()) # AsyncMock also works here >>> async def main(): ... async with mock_instance as result: ... pass ... >>> asyncio.run(main()) >>> mock_instance.__aenter__.assert_awaited_once() >>> mock_instance.__aexit__.assert_awaited_once() Creating a mock from an existing object ~~~~~~~~~~~~~~~~~~~...
MagicMock(AsyncContextManager()) # AsyncMock also works here >>> async def main(): ... async with mock_instance as result: ... pass ... >>> asyncio.run(main()) >>> mock_instance.__aenter__.assert_awaited_once() >>> mock_instance.__aexit__.assert_awaited_once() Creating a mock from an existing object ~~~~~~~~~~~~~~~~~~~...
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Tracking order of calls and less verbose call assertions ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The :class:`Mock` class allows you to track the *order* of method calls on your mock objects through the :attr:`~Mock.method_calls` attribute. This doesn't allow you to track the order of calls between sepa...
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Tracking order of calls and less verbose call assertions ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The :class:`Mock` class allows you to track the *order* of method calls on your mock objects through the :attr:`~Mock.method_calls` attribute. This doesn't allow you to track the order of calls between sepa...
Tracking order of calls and less verbose call assertions ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The :class:`Mock` class allows you to track the *order* of method calls on your mock objects through the :attr:`~Mock.method_calls` attribute. This doesn't allow you to track the order of calls between sepa...
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Mocking imports with patch.dict ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ One situation where mocking can be hard is where you have a local import inside a function. These are harder to mock because they aren't using an object from the module namespace that we can patch out.
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Mocking imports with patch.dict ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ One situation where mocking can be hard is where you have a local import inside a function. These are harder to mock because they aren't using an object from the module namespace that we can patch out.
Mocking imports with patch.dict ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ One situation where mocking can be hard is where you have a local import inside a function. These are harder to mock because they aren't using an object from the module namespace that we can patch out.
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>>> @patch('package.module.attribute', sentinel.attribute) ... def test(): ... from package.module import attribute ... assert attribute is sentinel.attribute ... >>> test() If you are patching a module (including :mod:`builtins`) then use :func:`patch` instead of :func:`patch.object`:
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>>> @patch('package.module.attribute', sentinel.attribute) ... def test(): ... from package.module import attribute ... assert attribute is sentinel.attribute ... >>> test() If you are patching a module (including :mod:`builtins`) then use :func:`patch` instead of :func:`patch.object`:
>>> @patch('package.module.attribute', sentinel.attribute) ... def test(): ... from package.module import attribute ... assert attribute is sentinel.attribute ... >>> test() If you are patching a module (including :mod:`builtins`) then use :func:`patch` instead of :func:`patch.object`:
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``AsyncMock`` and ``MagicMock`` have support to mock :ref:`async-context-managers` through ``__aenter__`` and ``__aexit__``. By default, ``__aenter__`` and ``__aexit__`` are ``AsyncMock`` instances that return an async function. >>> class AsyncContextManager: ... async def __aenter__(self): ... return self ... async...
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``AsyncMock`` and ``MagicMock`` have support to mock :ref:`async-context-managers` through ``__aenter__`` and ``__aexit__``. By default, ``__aenter__`` and ``__aexit__`` are ``AsyncMock`` instances that return an async function. >>> class AsyncContextManager: ... async def __aenter__(self): ... return self ... async...
``AsyncMock`` and ``MagicMock`` have support to mock :ref:`async-context-managers` through ``__aenter__`` and ``__aexit__``. By default, ``__aenter__`` and ``__aexit__`` are ``AsyncMock`` instances that return an async function. >>> class AsyncContextManager: ... async def __aenter__(self): ... return self ... async...
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A nice pattern is to actually decorate test methods themselves: >>> class MyTest(unittest.TestCase): ... @patch.object(SomeClass, 'attribute', sentinel.attribute) ... def test_something(self): ... self.assertEqual(SomeClass.attribute, sentinel.attribute) ... >>> original = SomeClass.attribute >>> MyTest('test_some...
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A nice pattern is to actually decorate test methods themselves: >>> class MyTest(unittest.TestCase): ... @patch.object(SomeClass, 'attribute', sentinel.attribute) ... def test_something(self): ... self.assertEqual(SomeClass.attribute, sentinel.attribute) ... >>> original = SomeClass.attribute >>> MyTest('test_some...
A nice pattern is to actually decorate test methods themselves: >>> class MyTest(unittest.TestCase): ... @patch.object(SomeClass, 'attribute', sentinel.attribute) ... def test_something(self): ... self.assertEqual(SomeClass.attribute, sentinel.attribute) ... >>> original = SomeClass.attribute >>> MyTest('test_some...
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Applying the same patch to every test method ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ If you want several patches in place for multiple test methods the obvious way is to apply the patch decorators to every method. This can feel like unnecessary repetition. Instead, you can use :func:`patch` (in all its various for...
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Applying the same patch to every test method ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ If you want several patches in place for multiple test methods the obvious way is to apply the patch decorators to every method. This can feel like unnecessary repetition. Instead, you can use :func:`patch` (in all its various for...
Applying the same patch to every test method ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ If you want several patches in place for multiple test methods the obvious way is to apply the patch decorators to every method. This can feel like unnecessary repetition. Instead, you can use :func:`patch` (in all its various for...
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class ``Foo`` with a mock. The ``Foo`` instance is the result of calling the mock, so it is configured by modifying the mock :attr:`~Mock.return_value`. :: >>> def some_function(): ... instance = module.Foo() ... return instance.method() ... >>> with patch('module.Foo') as mock: ... instance = mock.return_value .....
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class ``Foo`` with a mock. The ``Foo`` instance is the result of calling the mock, so it is configured by modifying the mock :attr:`~Mock.return_value`. :: >>> def some_function(): ... instance = module.Foo() ... return instance.method() ... >>> with patch('module.Foo') as mock: ... instance = mock.return_value .....
class ``Foo`` with a mock. The ``Foo`` instance is the result of calling the mock, so it is configured by modifying the mock :attr:`~Mock.return_value`. :: >>> def some_function(): ... instance = module.Foo() ... return instance.method() ... >>> with patch('module.Foo') as mock: ... instance = mock.return_value .....
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interested in asserting about *some* of those calls. You may not even care about the order. In this case you can pass ``any_order=True`` to ``assert_has_calls``: >>> m = MagicMock() >>> m(1), m.two(2, 3), m.seven(7), m.fifty('50') (...) >>> calls = [call.fifty('50'), call(1), call.seven(7)] >>> m.assert_has_calls(c...
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interested in asserting about *some* of those calls. You may not even care about the order. In this case you can pass ``any_order=True`` to ``assert_has_calls``: >>> m = MagicMock() >>> m(1), m.two(2, 3), m.seven(7), m.fifty('50') (...) >>> calls = [call.fifty('50'), call(1), call.seven(7)] >>> m.assert_has_calls(c...
interested in asserting about *some* of those calls. You may not even care about the order. In this case you can pass ``any_order=True`` to ``assert_has_calls``: >>> m = MagicMock() >>> m(1), m.two(2, 3), m.seven(7), m.fifty('50') (...) >>> calls = [call.fifty('50'), call(1), call.seven(7)] >>> m.assert_has_calls(c...
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With a bit of tweaking you could have the comparison function raise the :exc:`AssertionError` directly and provide a more useful failure message. As of version 1.5, the Python testing library `PyHamcrest <https://pyhamcrest.readthedocs.io/>`_ provides similar functionality, that may be useful here, in the form of its e...
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With a bit of tweaking you could have the comparison function raise the :exc:`AssertionError` directly and provide a more useful failure message. As of version 1.5, the Python testing library `PyHamcrest <https://pyhamcrest.readthedocs.io/>`_ provides similar functionality, that may be useful here, in the form of its e...
With a bit of tweaking you could have the comparison function raise the :exc:`AssertionError` directly and provide a more useful failure message. As of version 1.5, the Python testing library `PyHamcrest <https://pyhamcrest.readthedocs.io/>`_ provides similar functionality, that may be useful here, in the form of its e...
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Calls to the date constructor are recorded in the ``mock_date`` attributes (``call_count`` and friends) which may also be useful for your tests. An alternative way of dealing with mocking dates, or other builtin classes, is discussed in `this blog entry <https://williambert.online/2011/07/how-to-unit-testing-in-django-...
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Calls to the date constructor are recorded in the ``mock_date`` attributes (``call_count`` and friends) which may also be useful for your tests. An alternative way of dealing with mocking dates, or other builtin classes, is discussed in `this blog entry <https://williambert.online/2011/07/how-to-unit-testing-in-django-...
Calls to the date constructor are recorded in the ``mock_date`` attributes (``call_count`` and friends) which may also be useful for your tests. An alternative way of dealing with mocking dates, or other builtin classes, is discussed in `this blog entry <https://williambert.online/2011/07/how-to-unit-testing-in-django-...
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>>> mock = Mock() >>> mock().foo(a=2, b=3) <Mock name='mock().foo()' id='...'> >>> mock.return_value.foo.assert_called_with(a=2, b=3) From here it is a simple step to configure and then make assertions about chained calls. Of course another alternative is writing your code in a more testable way in the first place...
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CPython Docs
>>> mock = Mock() >>> mock().foo(a=2, b=3) <Mock name='mock().foo()' id='...'> >>> mock.return_value.foo.assert_called_with(a=2, b=3) From here it is a simple step to configure and then make assertions about chained calls. Of course another alternative is writing your code in a more testable way in the first place...
>>> mock = Mock() >>> mock().foo(a=2, b=3) <Mock name='mock().foo()' id='...'> >>> mock.return_value.foo.assert_called_with(a=2, b=3) From here it is a simple step to configure and then make assertions about chained calls. Of course another alternative is writing your code in a more testable way in the first place...
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in better ways than an unconditional local import (store the module as a class or module attribute and only do the import on first use). That aside there is a way to use ``mock`` to affect the results of an import. Importing fetches an *object* from the :data:`sys.modules` dictionary. Note that it fetches an *object*, ...
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in better ways than an unconditional local import (store the module as a class or module attribute and only do the import on first use). That aside there is a way to use ``mock`` to affect the results of an import. Importing fetches an *object* from the :data:`sys.modules` dictionary. Note that it fetches an *object*, ...
in better ways than an unconditional local import (store the module as a class or module attribute and only do the import on first use). That aside there is a way to use ``mock`` to affect the results of an import. Importing fetches an *object* from the :data:`sys.modules` dictionary. Note that it fetches an *object*, ...
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>>> mock = MagicMock() >>> mock.method() <MagicMock name='mock.method()' id='...'> >>> mock.attribute.method(10, x=53) <MagicMock name='mock.attribute.method()' id='...'> >>> mock.mock_calls [call.method(), call.attribute.method(10, x=53)] If you make an assertion about ``mock_calls`` and any unexpected methods have be...
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>>> mock = MagicMock() >>> mock.method() <MagicMock name='mock.method()' id='...'> >>> mock.attribute.method(10, x=53) <MagicMock name='mock.attribute.method()' id='...'> >>> mock.mock_calls [call.method(), call.attribute.method(10, x=53)] If you make an assertion about ``mock_calls`` and any unexpected methods have be...
>>> mock = MagicMock() >>> mock.method() <MagicMock name='mock.method()' id='...'> >>> mock.attribute.method(10, x=53) <MagicMock name='mock.attribute.method()' id='...'> >>> mock.mock_calls [call.method(), call.attribute.method(10, x=53)] If you make an assertion about ``mock_calls`` and any unexpected methods have be...
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val = {6} ... mymodule.grob(val) ... >>> val set() >>> mock_frob.assert_called_with({6}) Traceback (most recent call last): ... AssertionError: Expected: (({6},), {}) Called with: ((set(),), {}) One possibility would be for mock to copy the arguments you pass in. This could then cause problems if you do assertions that...
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val = {6} ... mymodule.grob(val) ... >>> val set() >>> mock_frob.assert_called_with({6}) Traceback (most recent call last): ... AssertionError: Expected: (({6},), {}) Called with: ((set(),), {}) One possibility would be for mock to copy the arguments you pass in. This could then cause problems if you do assertions that...
val = {6} ... mymodule.grob(val) ... >>> val set() >>> mock_frob.assert_called_with({6}) Traceback (most recent call last): ... AssertionError: Expected: (({6},), {}) Called with: ((set(),), {}) One possibility would be for mock to copy the arguments you pass in. This could then cause problems if you do assertions that...
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attribute is set to ``True``. More importantly we can use the :meth:`~Mock.assert_called_with` or :meth:`~Mock.assert_called_once_with` method to check that it was called with the correct arguments. This example tests that calling ``ProductionClass().method`` results in a call to the ``something`` method:
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attribute is set to ``True``. More importantly we can use the :meth:`~Mock.assert_called_with` or :meth:`~Mock.assert_called_once_with` method to check that it was called with the correct arguments. This example tests that calling ``ProductionClass().method`` results in a call to the ``something`` method:
attribute is set to ``True``. More importantly we can use the :meth:`~Mock.assert_called_with` or :meth:`~Mock.assert_called_once_with` method to check that it was called with the correct arguments. This example tests that calling ``ProductionClass().method`` results in a call to the ``something`` method:
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After it has been used you can make assertions about the access using the normal mock methods and attributes: >>> mock.__getitem__.call_args_list [call('a'), call('c'), call('d'), call('b'), call('d')] >>> mock.__setitem__.call_args_list [call('b', 'fish'), call('d', 'eggs')] >>> my_dict {'a': 1, 'b': 'fish', 'c':...
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After it has been used you can make assertions about the access using the normal mock methods and attributes: >>> mock.__getitem__.call_args_list [call('a'), call('c'), call('d'), call('b'), call('d')] >>> mock.__setitem__.call_args_list [call('b', 'fish'), call('d', 'eggs')] >>> my_dict {'a': 1, 'b': 'fish', 'c':...
After it has been used you can make assertions about the access using the normal mock methods and attributes: >>> mock.__getitem__.call_args_list [call('a'), call('c'), call('d'), call('b'), call('d')] >>> mock.__setitem__.call_args_list [call('b', 'fish'), call('d', 'eggs')] >>> my_dict {'a': 1, 'b': 'fish', 'c':...
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Mocking unbound methods ~~~~~~~~~~~~~~~~~~~~~~~ Sometimes a test needs to patch an *unbound method*, which means patching the method on the class rather than on the instance. In order to make assertions about which objects were calling this particular method, you need to pass ``self`` as the first argument. The issue i...
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Mocking unbound methods ~~~~~~~~~~~~~~~~~~~~~~~ Sometimes a test needs to patch an *unbound method*, which means patching the method on the class rather than on the instance. In order to make assertions about which objects were calling this particular method, you need to pass ``self`` as the first argument. The issue i...
Mocking unbound methods ~~~~~~~~~~~~~~~~~~~~~~~ Sometimes a test needs to patch an *unbound method*, which means patching the method on the class rather than on the instance. In order to make assertions about which objects were calling this particular method, you need to pass ``self`` as the first argument. The issue i...
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Partial mocking ~~~~~~~~~~~~~~~ For some tests, you may want to mock out a call to :meth:`datetime.date.today` to return a known date, but don't want to prevent the code under test from creating new date objects. Unfortunately :class:`datetime.date` is written in C, so you cannot just monkey-patch out the static :meth:...
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Partial mocking ~~~~~~~~~~~~~~~ For some tests, you may want to mock out a call to :meth:`datetime.date.today` to return a known date, but don't want to prevent the code under test from creating new date objects. Unfortunately :class:`datetime.date` is written in C, so you cannot just monkey-patch out the static :meth:...
Partial mocking ~~~~~~~~~~~~~~~ For some tests, you may want to mock out a call to :meth:`datetime.date.today` to return a known date, but don't want to prevent the code under test from creating new date objects. Unfortunately :class:`datetime.date` is written in C, so you cannot just monkey-patch out the static :meth:...
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self.assertIs(mymodule.SomeClass, MockSomeClass) ... ... def test_two(self, MockSomeClass): ... self.assertIs(mymodule.SomeClass, MockSomeClass) ... ... def not_a_test(self): ... return 'something' ... >>> MyTest('test_one').test_one() >>> MyTest('test_two').test_two() >>> MyTest('test_two').not_a_test() 'something' An...
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self.assertIs(mymodule.SomeClass, MockSomeClass) ... ... def test_two(self, MockSomeClass): ... self.assertIs(mymodule.SomeClass, MockSomeClass) ... ... def not_a_test(self): ... return 'something' ... >>> MyTest('test_one').test_one() >>> MyTest('test_two').test_two() >>> MyTest('test_two').not_a_test() 'something' An...
self.assertIs(mymodule.SomeClass, MockSomeClass) ... ... def test_two(self, MockSomeClass): ... self.assertIs(mymodule.SomeClass, MockSomeClass) ... ... def not_a_test(self): ... return 'something' ... >>> MyTest('test_one').test_one() >>> MyTest('test_two').test_two() >>> MyTest('test_two').not_a_test() 'something' An...
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MagicMock(**kwargs) ... >>> mymock = Subclass() >>> mymock.foo <MagicMock name='mock.foo' id='...'> >>> assert isinstance(mymock, Subclass) >>> assert not isinstance(mymock.foo, Subclass) >>> assert not isinstance(mymock(), Subclass) .. [#] An exception to this rule are the non-callable mocks. Attributes use the calla...
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MagicMock(**kwargs) ... >>> mymock = Subclass() >>> mymock.foo <MagicMock name='mock.foo' id='...'> >>> assert isinstance(mymock, Subclass) >>> assert not isinstance(mymock.foo, Subclass) >>> assert not isinstance(mymock(), Subclass) .. [#] An exception to this rule are the non-callable mocks. Attributes use the calla...
MagicMock(**kwargs) ... >>> mymock = Subclass() >>> mymock.foo <MagicMock name='mock.foo' id='...'> >>> assert isinstance(mymock, Subclass) >>> assert not isinstance(mymock.foo, Subclass) >>> assert not isinstance(mymock(), Subclass) .. [#] An exception to this rule are the non-callable mocks. Attributes use the calla...
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If your mock is only being called once you can use the :meth:`~Mock.assert_called_once_with` method that also asserts that the :attr:`~Mock.call_count` is one. >>> mock.foo_bar.assert_called_once_with('baz', spam='eggs') >>> mock.foo_bar() >>> mock.foo_bar.assert_called_once_with('baz', spam='eggs') Traceback (most ...
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If your mock is only being called once you can use the :meth:`~Mock.assert_called_once_with` method that also asserts that the :attr:`~Mock.call_count` is one. >>> mock.foo_bar.assert_called_once_with('baz', spam='eggs') >>> mock.foo_bar() >>> mock.foo_bar.assert_called_once_with('baz', spam='eggs') Traceback (most ...
If your mock is only being called once you can use the :meth:`~Mock.assert_called_once_with` method that also asserts that the :attr:`~Mock.call_count` is one. >>> mock.foo_bar.assert_called_once_with('baz', spam='eggs') >>> mock.foo_bar() >>> mock.foo_bar.assert_called_once_with('baz', spam='eggs') Traceback (most ...
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configuration to do. Let's assume the object it returns is 'file-like', so we'll ensure that our response object uses the builtin :func:`open` as its ``spec``. To do this we create a mock instance as our mock backend and create a mock response object for it. To set the response as the return value for that final ``star...
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configuration to do. Let's assume the object it returns is 'file-like', so we'll ensure that our response object uses the builtin :func:`open` as its ``spec``. To do this we create a mock instance as our mock backend and create a mock response object for it. To set the response as the return value for that final ``star...
configuration to do. Let's assume the object it returns is 'file-like', so we'll ensure that our response object uses the builtin :func:`open` as its ``spec``. To do this we create a mock instance as our mock backend and create a mock response object for it. To set the response as the return value for that final ``star...
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Creating a mock from an existing object ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ One problem with over use of mocking is that it couples your tests to the implementation of your mocks rather than your real code. Suppose you have a class that implements ``some_method``. In a test for another class, you provide a mock of ...
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Creating a mock from an existing object ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ One problem with over use of mocking is that it couples your tests to the implementation of your mocks rather than your real code. Suppose you have a class that implements ``some_method``. In a test for another class, you provide a mock of ...
Creating a mock from an existing object ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ One problem with over use of mocking is that it couples your tests to the implementation of your mocks rather than your real code. Suppose you have a class that implements ``some_method``. In a test for another class, you provide a mock of ...
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then you can attach them to a manager mock using the :meth:`~Mock.attach_mock` method. After attaching calls will be recorded in ``mock_calls`` of the manager. :: >>> manager = MagicMock() >>> with patch('mymodule.Class1') as MockClass1: ... with patch('mymodule.Class2') as MockClass2: ... manager.attach_mock(MockCl...
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then you can attach them to a manager mock using the :meth:`~Mock.attach_mock` method. After attaching calls will be recorded in ``mock_calls`` of the manager. :: >>> manager = MagicMock() >>> with patch('mymodule.Class1') as MockClass1: ... with patch('mymodule.Class2') as MockClass2: ... manager.attach_mock(MockCl...
then you can attach them to a manager mock using the :meth:`~Mock.attach_mock` method. After attaching calls will be recorded in ``mock_calls`` of the manager. :: >>> manager = MagicMock() >>> with patch('mymodule.Class1') as MockClass1: ... with patch('mymodule.Class2') as MockClass2: ... manager.attach_mock(MockCl...
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with :class:`MagicMock`, which will behave like a dictionary, and using :data:`~Mock.side_effect` to delegate dictionary access to a real underlying dictionary that is under our control. When the :meth:`~object.__getitem__` and :meth:`~object.__setitem__` methods of our ``MagicMock`` are called (normal dictionary acces...
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with :class:`MagicMock`, which will behave like a dictionary, and using :data:`~Mock.side_effect` to delegate dictionary access to a real underlying dictionary that is under our control. When the :meth:`~object.__getitem__` and :meth:`~object.__setitem__` methods of our ``MagicMock`` are called (normal dictionary acces...
with :class:`MagicMock`, which will behave like a dictionary, and using :data:`~Mock.side_effect` to delegate dictionary access to a real underlying dictionary that is under our control. When the :meth:`~object.__getitem__` and :meth:`~object.__setitem__` methods of our ``MagicMock`` are called (normal dictionary acces...
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>>> class Something: ... def __init__(self): ... self.backend = BackendProvider() ... def method(self): ... response = self.backend.get_endpoint('foobar').create_call('spam', 'eggs').start_call() ... # more code Assuming that ``BackendProvider`` is already well tested, how do we test ``method()``? Specifically, we want...
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>>> class Something: ... def __init__(self): ... self.backend = BackendProvider() ... def method(self): ... response = self.backend.get_endpoint('foobar').create_call('spam', 'eggs').start_call() ... # more code Assuming that ``BackendProvider`` is already well tested, how do we test ``method()``? Specifically, we want...
>>> class Something: ... def __init__(self): ... self.backend = BackendProvider() ... def method(self): ... response = self.backend.get_endpoint('foobar').create_call('spam', 'eggs').start_call() ... # more code Assuming that ``BackendProvider`` is already well tested, how do we test ``method()``? Specifically, we want...
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``patch``, ``patch.object`` and ``patch.dict`` can all be used as context managers. Where you use :func:`patch` to create a mock for you, you can get a reference to the mock using the "as" form of the with statement:
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``patch``, ``patch.object`` and ``patch.dict`` can all be used as context managers. Where you use :func:`patch` to create a mock for you, you can get a reference to the mock using the "as" form of the with statement:
``patch``, ``patch.object`` and ``patch.dict`` can all be used as context managers. Where you use :func:`patch` to create a mock for you, you can get a reference to the mock using the "as" form of the with statement:
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You can stack up multiple patch decorators using this pattern:: >>> class MyTest(unittest.TestCase): ... @patch('package.module.ClassName1') ... @patch('package.module.ClassName2') ... def test_something(self, MockClass2, MockClass1): ... self.assertIs(package.module.ClassName1, MockClass1) ... self.assertIs(packa...
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You can stack up multiple patch decorators using this pattern:: >>> class MyTest(unittest.TestCase): ... @patch('package.module.ClassName1') ... @patch('package.module.ClassName2') ... def test_something(self, MockClass2, MockClass1): ... self.assertIs(package.module.ClassName1, MockClass1) ... self.assertIs(packa...
You can stack up multiple patch decorators using this pattern:: >>> class MyTest(unittest.TestCase): ... @patch('package.module.ClassName1') ... @patch('package.module.ClassName2') ... def test_something(self, MockClass2, MockClass1): ... self.assertIs(package.module.ClassName1, MockClass1) ... self.assertIs(packa...
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>>> mock = Mock(return_value=None) >>> mock(1, 2, 3) >>> mock(4, 5, 6) >>> mock() >>> mock.call_args_list [call(1, 2, 3), call(4, 5, 6), call()] The :data:`call` helper makes it easy to make assertions about these calls. You can build up a list of expected calls and compare it to ``call_args_list``. This looks remarkab...
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>>> mock = Mock(return_value=None) >>> mock(1, 2, 3) >>> mock(4, 5, 6) >>> mock() >>> mock.call_args_list [call(1, 2, 3), call(4, 5, 6), call()] The :data:`call` helper makes it easy to make assertions about these calls. You can build up a list of expected calls and compare it to ``call_args_list``. This looks remarkab...
>>> mock = Mock(return_value=None) >>> mock(1, 2, 3) >>> mock(4, 5, 6) >>> mock() >>> mock.call_args_list [call(1, 2, 3), call(4, 5, 6), call()] The :data:`call` helper makes it easy to make assertions about these calls. You can build up a list of expected calls and compare it to ``call_args_list``. This looks remarkab...
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An alternative way of managing patches is to use the :ref:`start-and-stop`. These allow you to move the patching into your ``setUp`` and ``tearDown`` methods. :: >>> class MyTest(unittest.TestCase): ... def setUp(self): ... self.patcher = patch('mymodule.foo') ... self.mock_foo = self.patcher.start() ... ... def te...
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An alternative way of managing patches is to use the :ref:`start-and-stop`. These allow you to move the patching into your ``setUp`` and ``tearDown`` methods. :: >>> class MyTest(unittest.TestCase): ... def setUp(self): ... self.patcher = patch('mymodule.foo') ... self.mock_foo = self.patcher.start() ... ... def te...
An alternative way of managing patches is to use the :ref:`start-and-stop`. These allow you to move the patching into your ``setUp`` and ``tearDown`` methods. :: >>> class MyTest(unittest.TestCase): ... def setUp(self): ... self.patcher = patch('mymodule.foo') ... self.mock_foo = self.patcher.start() ... ... def te...
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store the arguments so that we can use the mock methods for doing the assertion. Again a helper function sets this up for us. :: >>> from copy import deepcopy >>> from unittest.mock import Mock, patch, DEFAULT >>> def copy_call_args(mock): ... new_mock = Mock() ... def side_effect(*args, **kwargs): ... args = deep...
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store the arguments so that we can use the mock methods for doing the assertion. Again a helper function sets this up for us. :: >>> from copy import deepcopy >>> from unittest.mock import Mock, patch, DEFAULT >>> def copy_call_args(mock): ... new_mock = Mock() ... def side_effect(*args, **kwargs): ... args = deep...
store the arguments so that we can use the mock methods for doing the assertion. Again a helper function sets this up for us. :: >>> from copy import deepcopy >>> from unittest.mock import Mock, patch, DEFAULT >>> def copy_call_args(mock): ... new_mock = Mock() ... def side_effect(*args, **kwargs): ... args = deep...
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the implementation of your specification, then tests that use that class will start failing immediately without you having to instantiate the class in those tests. >>> mock = Mock(spec=SomeClass) >>> mock.old_method() Traceback (most recent call last): ... AttributeError: Mock object has no attribute 'old_method'. D...
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the implementation of your specification, then tests that use that class will start failing immediately without you having to instantiate the class in those tests. >>> mock = Mock(spec=SomeClass) >>> mock.old_method() Traceback (most recent call last): ... AttributeError: Mock object has no attribute 'old_method'. D...
the implementation of your specification, then tests that use that class will start failing immediately without you having to instantiate the class in those tests. >>> mock = Mock(spec=SomeClass) >>> mock.old_method() Traceback (most recent call last): ... AttributeError: Mock object has no attribute 'old_method'. D...
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you can effectively wrap the date class with a mock, while passing through calls to the constructor to the real class (and returning real instances). The :func:`patch decorator <patch>` is used here to mock out the ``date`` class in the module under test. The :attr:`~Mock.side_effect` attribute on the mock date class i...
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you can effectively wrap the date class with a mock, while passing through calls to the constructor to the real class (and returning real instances). The :func:`patch decorator <patch>` is used here to mock out the ``date`` class in the module under test. The :attr:`~Mock.side_effect` attribute on the mock date class i...
you can effectively wrap the date class with a mock, while passing through calls to the constructor to the real class (and returning real instances). The :func:`patch decorator <patch>` is used here to mock out the ``date`` class in the module under test. The :attr:`~Mock.side_effect` attribute on the mock date class i...
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but we aren't concerned about them here. A very good introduction to generators and how powerful they are is: `Generator Tricks for Systems Programmers <http://www.dabeaz.com/generators/>`_. Applying the same patch to every test method ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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but we aren't concerned about them here. A very good introduction to generators and how powerful they are is: `Generator Tricks for Systems Programmers <http://www.dabeaz.com/generators/>`_. Applying the same patch to every test method ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
but we aren't concerned about them here. A very good introduction to generators and how powerful they are is: `Generator Tricks for Systems Programmers <http://www.dabeaz.com/generators/>`_. Applying the same patch to every test method ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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we are only interested in some of the attributes of this object then we can create a matcher that will check these attributes for us. You can see in this example how a 'standard' call to ``assert_called_with`` isn't sufficient:
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we are only interested in some of the attributes of this object then we can create a matcher that will check these attributes for us. You can see in this example how a 'standard' call to ``assert_called_with`` isn't sufficient:
we are only interested in some of the attributes of this object then we can create a matcher that will check these attributes for us. You can see in this example how a 'standard' call to ``assert_called_with`` isn't sufficient:
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>>> m = MagicMock() >>> m().foo().bar().baz() <MagicMock name='mock().foo().bar().baz()' id='...'> >>> m.one().two().three() <MagicMock name='mock.one().two().three()' id='...'> >>> calls = call.one().two().three().call_list() >>> m.assert_has_calls(calls) Even though the chained call ``m.one().two().three()`` aren't t...
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>>> m = MagicMock() >>> m().foo().bar().baz() <MagicMock name='mock().foo().bar().baz()' id='...'> >>> m.one().two().three() <MagicMock name='mock.one().two().three()' id='...'> >>> calls = call.one().two().three().call_list() >>> m.assert_has_calls(calls) Even though the chained call ``m.one().two().three()`` aren't t...
>>> m = MagicMock() >>> m().foo().bar().baz() <MagicMock name='mock().foo().bar().baz()' id='...'> >>> m.one().two().three() <MagicMock name='mock.one().two().three()' id='...'> >>> calls = call.one().two().three().call_list() >>> m.assert_has_calls(calls) Even though the chained call ``m.one().two().three()`` aren't t...
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Even though the chained call ``m.one().two().three()`` aren't the only calls that have been made to the mock, the assert still succeeds. Sometimes a mock may have several calls made to it, and you are only interested in asserting about *some* of those calls. You may not even care about the order. In this case you can p...
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Even though the chained call ``m.one().two().three()`` aren't the only calls that have been made to the mock, the assert still succeeds. Sometimes a mock may have several calls made to it, and you are only interested in asserting about *some* of those calls. You may not even care about the order. In this case you can p...
Even though the chained call ``m.one().two().three()`` aren't the only calls that have been made to the mock, the assert still succeeds. Sometimes a mock may have several calls made to it, and you are only interested in asserting about *some* of those calls. You may not even care about the order. In this case you can p...
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file://datasets/cpython/Doc/library/unittest.mock-examples.rst
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We can use :data:`call` to construct the set of calls in a "chained call" like this for easy assertion afterwards: >>> mock = Mock() >>> cursor = mock.connection.cursor.return_value >>> cursor.execute.return_value = ['foo'] >>> mock.connection.cursor().execute("SELECT 1") ['foo'] >>> expected = call.connection.cur...
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We can use :data:`call` to construct the set of calls in a "chained call" like this for easy assertion afterwards: >>> mock = Mock() >>> cursor = mock.connection.cursor.return_value >>> cursor.execute.return_value = ['foo'] >>> mock.connection.cursor().execute("SELECT 1") ['foo'] >>> expected = call.connection.cur...
We can use :data:`call` to construct the set of calls in a "chained call" like this for easy assertion afterwards: >>> mock = Mock() >>> cursor = mock.connection.cursor.return_value >>> cursor.execute.return_value = ['foo'] >>> mock.connection.cursor().execute("SELECT 1") ['foo'] >>> expected = call.connection.cur...
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can be fiddlier than you might think, because if an exception is raised in the setUp then tearDown is not called. :meth:`unittest.TestCase.addCleanup` makes this easier:: >>> class MyTest(unittest.TestCase): ... def setUp(self): ... patcher = patch('mymodule.foo') ... self.addCleanup(patcher.stop) ... self.mock_foo...
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can be fiddlier than you might think, because if an exception is raised in the setUp then tearDown is not called. :meth:`unittest.TestCase.addCleanup` makes this easier:: >>> class MyTest(unittest.TestCase): ... def setUp(self): ... patcher = patch('mymodule.foo') ... self.addCleanup(patcher.stop) ... self.mock_foo...
can be fiddlier than you might think, because if an exception is raised in the setUp then tearDown is not called. :meth:`unittest.TestCase.addCleanup` makes this easier:: >>> class MyTest(unittest.TestCase): ... def setUp(self): ... patcher = patch('mymodule.foo') ... self.addCleanup(patcher.stop) ... self.mock_foo...
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mock. Instances are created by *calling the class*. This means you access the "mock instance" by looking at the return value of the mocked class. In the example below we have a function ``some_function`` that instantiates ``Foo`` and calls a method on it. The call to :func:`patch` replaces the class ``Foo`` with a mock...
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mock. Instances are created by *calling the class*. This means you access the "mock instance" by looking at the return value of the mocked class. In the example below we have a function ``some_function`` that instantiates ``Foo`` and calls a method on it. The call to :func:`patch` replaces the class ``Foo`` with a mock...
mock. Instances are created by *calling the class*. This means you access the "mock instance" by looking at the return value of the mocked class. In the example below we have a function ``some_function`` that instantiates ``Foo`` and calls a method on it. The call to :func:`patch` replaces the class ``Foo`` with a mock...
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>>> def f(a, b, c): pass ... >>> mock = Mock(spec=f) >>> mock(1, 2, 3) <Mock name='mock()' id='140161580456576'> >>> mock.assert_called_with(a=1, b=2, c=3) If you want this smarter matching to also work with method calls on the mock, you can use :ref:`auto-speccing <auto-speccing>`.
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>>> def f(a, b, c): pass ... >>> mock = Mock(spec=f) >>> mock(1, 2, 3) <Mock name='mock()' id='140161580456576'> >>> mock.assert_called_with(a=1, b=2, c=3) If you want this smarter matching to also work with method calls on the mock, you can use :ref:`auto-speccing <auto-speccing>`.
>>> def f(a, b, c): pass ... >>> mock = Mock(spec=f) >>> mock(1, 2, 3) <Mock name='mock()' id='140161580456576'> >>> mock.assert_called_with(a=1, b=2, c=3) If you want this smarter matching to also work with method calls on the mock, you can use :ref:`auto-speccing <auto-speccing>`.
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mock and can be helpful when the mock appears in test failure messages. The name is also propagated to attributes or methods of the mock: >>> mock = MagicMock(name='foo') >>> mock <MagicMock name='foo' id='...'> >>> mock.method <MagicMock name='foo.method' id='...'>
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mock and can be helpful when the mock appears in test failure messages. The name is also propagated to attributes or methods of the mock: >>> mock = MagicMock(name='foo') >>> mock <MagicMock name='foo' id='...'> >>> mock.method <MagicMock name='foo.method' id='...'>
mock and can be helpful when the mock appears in test failure messages. The name is also propagated to attributes or methods of the mock: >>> mock = MagicMock(name='foo') >>> mock <MagicMock name='foo' id='...'> >>> mock.method <MagicMock name='foo.method' id='...'>
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is inconvenient. For example, `one user <https://code.google.com/archive/p/mock/issues/105>`_ is subclassing mock to created a `Twisted adaptor <https://twisted.org/documents/11.0.0/api/twisted.python.components.html>`_. Having this applied to attributes too actually causes errors. ``Mock`` (in all its flavours) uses a...
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is inconvenient. For example, `one user <https://code.google.com/archive/p/mock/issues/105>`_ is subclassing mock to created a `Twisted adaptor <https://twisted.org/documents/11.0.0/api/twisted.python.components.html>`_. Having this applied to attributes too actually causes errors. ``Mock`` (in all its flavours) uses a...
is inconvenient. For example, `one user <https://code.google.com/archive/p/mock/issues/105>`_ is subclassing mock to created a `Twisted adaptor <https://twisted.org/documents/11.0.0/api/twisted.python.components.html>`_. Having this applied to attributes too actually causes errors. ``Mock`` (in all its flavours) uses a...
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you patch objects in the namespace where they are looked up. This is normally straightforward, but for a quick guide read :ref:`where to patch <where-to-patch>`. A common need in tests is to patch a class attribute or a module attribute, for example patching a builtin or patching a class in a module to test that it is ...
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you patch objects in the namespace where they are looked up. This is normally straightforward, but for a quick guide read :ref:`where to patch <where-to-patch>`. A common need in tests is to patch a class attribute or a module attribute, for example patching a builtin or patching a class in a module to test that it is ...
you patch objects in the namespace where they are looked up. This is normally straightforward, but for a quick guide read :ref:`where to patch <where-to-patch>`. A common need in tests is to patch a class attribute or a module attribute, for example patching a builtin or patching a class in a module to test that it is ...
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>>> mock = MagicMock(side_effect=[4, 5, 6]) >>> mock() 4 >>> mock() 5 >>> mock() 6 For more advanced use cases, like dynamically varying the return values depending on what the mock is called with, ``side_effect`` can be a function. The function will be called with the same arguments as the mock. Whatever the function ...
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>>> mock = MagicMock(side_effect=[4, 5, 6]) >>> mock() 4 >>> mock() 5 >>> mock() 6 For more advanced use cases, like dynamically varying the return values depending on what the mock is called with, ``side_effect`` can be a function. The function will be called with the same arguments as the mock. Whatever the function ...
>>> mock = MagicMock(side_effect=[4, 5, 6]) >>> mock() 4 >>> mock() 5 >>> mock() 6 For more advanced use cases, like dynamically varying the return values depending on what the mock is called with, ``side_effect`` can be a function. The function will be called with the same arguments as the mock. Whatever the function ...
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pass ... >>> with patch.object(ProductionClass, 'method') as mock_method: ... mock_method.return_value = None ... real = ProductionClass() ... real.method(1, 2, 3) ... >>> mock_method.assert_called_with(1, 2, 3) As an alternative ``patch``, ``patch.object`` and ``patch.dict`` can be used as class decorators. When used ...
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pass ... >>> with patch.object(ProductionClass, 'method') as mock_method: ... mock_method.return_value = None ... real = ProductionClass() ... real.method(1, 2, 3) ... >>> mock_method.assert_called_with(1, 2, 3) As an alternative ``patch``, ``patch.object`` and ``patch.dict`` can be used as class decorators. When used ...
pass ... >>> with patch.object(ProductionClass, 'method') as mock_method: ... mock_method.return_value = None ... real = ProductionClass() ... real.method(1, 2, 3) ... >>> mock_method.assert_called_with(1, 2, 3) As an alternative ``patch``, ``patch.object`` and ``patch.dict`` can be used as class decorators. When used ...
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calls. You can build up a list of expected calls and compare it to ``call_args_list``. This looks remarkably similar to the repr of the ``call_args_list``: >>> expected = [call(1, 2, 3), call(4, 5, 6), call()] >>> mock.call_args_list == expected True
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calls. You can build up a list of expected calls and compare it to ``call_args_list``. This looks remarkably similar to the repr of the ``call_args_list``: >>> expected = [call(1, 2, 3), call(4, 5, 6), call()] >>> mock.call_args_list == expected True
calls. You can build up a list of expected calls and compare it to ``call_args_list``. This looks remarkably similar to the repr of the ``call_args_list``: >>> expected = [call(1, 2, 3), call(4, 5, 6), call()] >>> mock.call_args_list == expected True
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dictionary access) then ``side_effect`` is called with the key (and in the case of ``__setitem__`` the value too). We can also control what is returned. After the ``MagicMock`` has been used we can use attributes like :data:`~Mock.call_args_list` to assert about how the dictionary was used:
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dictionary access) then ``side_effect`` is called with the key (and in the case of ``__setitem__`` the value too). We can also control what is returned. After the ``MagicMock`` has been used we can use attributes like :data:`~Mock.call_args_list` to assert about how the dictionary was used:
dictionary access) then ``side_effect`` is called with the key (and in the case of ``__setitem__`` the value too). We can also control what is returned. After the ``MagicMock`` has been used we can use attributes like :data:`~Mock.call_args_list` to assert about how the dictionary was used:
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