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Remove spurious assertions about Content-Length header value. by tseaver · Pull Request #275 · googleapis/google-cloud-python · GitHub

Remove spurious assertions about Content-Length header value. - #275

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tseaver merged 1 commit into
googleapis:masterfrom
tseaver:remove-content_length_assertions
Oct 21, 2014
Merged

Remove spurious assertions about Content-Length header value.#275
tseaver merged 1 commit into
googleapis:masterfrom
tseaver:remove-content_length_assertions

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tseaver commented Oct 21, 2014

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They are 'magic numbers' which break when code-not-under-test changes.

They are 'magic numbers' which break when code-not-under-test changes.

tseaver commented Oct 21, 2014

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I'd like to land this ASAP in order not to block work on a better fix for #121.

dhermes commented Oct 21, 2014

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This fix looks fine but I'm very unclear on what problem it addresses.

Could you elaborate when / where?

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Coverage remained the same when pulling 0f01d38 on tseaver:remove-content_length_assertions into 8b97707 on GoogleCloudPlatform:master.

tseaver commented Oct 21, 2014

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Changes to unrelated code (e.g., how / whether Keys set their dataset IDs into their protobufs) were causing the Content-Length to change. Since the values were not meaningful for the code being tested, there is no point in asserting them. Note that there is a separate test for setting the header with a payload of known length,

dhermes commented Oct 21, 2014

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I see. LGTM.

tseaver added a commit that referenced this pull request Oct 21, 2014
Remove spurious assertions about Content-Length header value.
tseaver merged commit 7f6e4b1 into googleapis:master Oct 21, 2014
tseaver deleted the remove-content_length_assertions branch November 6, 2014 22:43
dhermes added testing api: datastore Issues related to the Datastore API. labels Dec 31, 2015
urshala pushed a commit to urshala/google-cloud-python that referenced this pull request Jan 17, 2020
Message: Added new method 'mark_as_unread' to mark the message as unread.
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Source-Link: https://togithub.com/googleapis/synthtool/commit/5f2a6089f73abf06238fe4310f6a14d6f6d1eed3
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parthea pushed a commit that referenced this pull request Jun 4, 2023
* chore: use gapic-generator-python 0.63.2

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parthea added a commit that referenced this pull request Jun 4, 2023
* chore(deps): update all dependencies

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parthea added a commit that referenced this pull request Jun 4, 2023
* chore: use gapic-generator-python 0.58.4

fix: provide appropriate mock values for message body fields

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parthea added a commit that referenced this pull request Jun 4, 2023
* chore(deps): update all dependencies

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* revert

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parthea pushed a commit that referenced this pull request Jun 4, 2023
- [ ] Regenerate this pull request now.

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* chore: use gapic-generator-python 1.2.0

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parthea pushed a commit that referenced this pull request Jun 4, 2023
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parthea pushed a commit that referenced this pull request Aug 15, 2023
* docs: improved docs format

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parthea pushed a commit that referenced this pull request Aug 15, 2023
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parthea pushed a commit that referenced this pull request Sep 20, 2023
- [ ] Regenerate this pull request now.

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feat: add audience parameter
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feat: allow users to disable spell check in search requests
feat: allow users to add labels in search requests
docs: deprecate indexable/searchable on the product level custom attributes
docs: keep the API doc up-to-date with recent changes

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parthea added a commit that referenced this pull request Oct 21, 2023
* docs: update async_detect_document() sample

* docs: Update doctext sample to include method signature

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parthea pushed a commit that referenced this pull request Oct 21, 2023
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parthea pushed a commit that referenced this pull request Oct 22, 2023
)

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* chore(deps): update all dependencies to v3

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parthea pushed a commit that referenced this pull request Nov 24, 2025
Pins the version of `numpy` used with `python 3.9` to be less than `2.0.0`. 

There is a potentially unexpected interaction between `pandas` and `numpy` here. Depending on the version we use for each, we get different results in terms of pass/fail for the unit tests associated with `python 3.9`

|numpy version|pandas version|unit-3.9 pass/fail|
|-|-|-|
|2.0.0|1.3.0|fail|
|2.0.0|2.2.2|pass|
|2.0.0|1.5.3|fail|
|1.26.4|1.5.3|pass|
|1.26.4|1.3.0|pass|

This [appears to be a known incompatibility](https://togithub.com/numpy/numpy/issues/26710) between how `pip` resolves the dependency versions for `numpy` and `pandas` and the only current fix is to pin versions to something that "works" to avoid allowing `pip` to resolve into a failing state. (NOTE the linked issue references various versions of numpy and pandas, depending on the combination, inlcuding 3.9 throughout the thread, even though the title references `python 3.12`)

Fixes #275 🦕
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parthea pushed a commit that referenced this pull request Mar 2, 2026
* fix: missing client version in user agent header

* Blacken
parthea pushed a commit that referenced this pull request Mar 2, 2026
parthea pushed a commit that referenced this pull request Mar 6, 2026
Since Django is BSD licensed, the reasoning from management
was that we keep this integration similarly licensed.

Fixes #275
parthea pushed a commit that referenced this pull request Mar 9, 2026
* feat: add samples for CMEK support

* test: fix backups cleanup

* test: correctly use database id for cmek restore

* test: add clean up for databases

* refactor: remove version time from sample

* refactor: use user-provided key for creating encrypted backup message

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