fix: bump jiter dep

[ivanleomk]

Important

Bump jiter dependency version and add type ignore comments for pydantic.Field imports to suppress type checking.

• Dependencies:
  • Bump jiter version in pyproject.toml from >=0.5,<0.7 to >=0.6.1,<0.7.
• Code Quality:
  • Add # type: ignore comment to pydantic.Field import in batch.py, citation.py, and iterable.py to suppress type checking.

^{This description was created by for 268b4c4. It will automatically update as commits are pushed.}

[ellipsis-dev]

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• Looked at 13 lines of code in 1 files
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1. pyproject.toml:21

• Draft comment:
  Ensure that the updated version constraint for 'jiter' is consistent across all relevant sections of the configuration file. Currently, it seems to be updated correctly in the main dependencies section.
• Reason this comment was not posted:
  Confidence changes required: 50%
  The PR updates the version constraint for the 'jiter' dependency. It's important to ensure that this change is consistent across all relevant sections of the configuration file.

2. pyproject.toml:21

• Draft comment:
  When updating library dependencies, ensure that the documentation and tests are updated accordingly. Please verify if these updates have been made.
• Reason this comment was not posted:
  Confidence changes required: 80%
  The PR updates the jiter dependency version in the pyproject.toml file. Since this is a library code change, the documentation and tests should be updated accordingly. However, there is no indication in the PR that these updates have been made.

Workflow ID: wflow_KL1Zz23V1MpYr0bV

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[ellipsis-dev]

👍 Looks good to me! Incremental review on 62c0629 in 15 seconds

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• Looked at 13 lines of code in 1 files
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1. instructor/dsl/validators.py:4

• Draft comment:
  The # type: ignore comment on the pydantic import is unnecessary unless there is a specific reason to ignore type checking for this import. Consider removing it if not needed.
• Reason this comment was not posted:
  Confidence changes required: 50%
  The # type: ignore comment on the import statement is unnecessary unless there is a specific reason to ignore type checking for this import. It should be removed if not needed.

Workflow ID: wflow_XMM689lkIx5N6LrI

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[ellipsis-dev]

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• Looked at 61 lines of code in 4 files
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1. instructor/dsl/citation.py:1

• Draft comment:
  Consider verifying if the # type: ignore comment is necessary for the pydantic.Field import. If possible, address the underlying type issue instead of suppressing it. This comment is also applicable in iterable.py and maybe.py.
• Reason this comment was not posted:
  Confidence changes required: 50%
  The # type: ignore comments are used to suppress type checking errors. However, it's important to ensure that these are necessary and not hiding potential issues. In this case, the comments are added to suppress errors related to pydantic.Field. It's crucial to verify if these are indeed necessary and if there's a better way to handle the type checking issues.

2. instructor/multimodal.py:46

• Draft comment:
  Removing ... from Field default values makes these fields optional. Ensure this change aligns with the intended functionality. This applies to other similar changes in this file.
• Reason this comment was not posted:
  Confidence changes required: 70%
  The removal of ... in Field default values might lead to unintended behavior if these fields are expected to be mandatory. It's important to ensure that this change aligns with the intended functionality.

3. instructor/multimodal.py:44

• Draft comment:
  The autodetect and autodetect_safely methods are complex and would benefit from comments explaining their logic.
• Reason this comment was not posted:
  Confidence changes required: 80%
  The autodetect and autodetect_safely methods in the Image class are complex and would benefit from comments explaining their logic.

4. instructor/multimodal.py:209

• Draft comment:
  The autodetect and autodetect_safely methods are complex and would benefit from comments explaining their logic.
• Reason this comment was not posted:
  Confidence changes required: 80%
  The autodetect and autodetect_safely methods in the Image class are complex and would benefit from comments explaining their logic.

Workflow ID: wflow_SY44Wid8oIZ9EYck

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[ellipsis-dev]

👍 Looks good to me! Incremental review on 268b4c4 in 18 seconds

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• Looked at 26 lines of code in 2 files
• Skipped 0 files when reviewing.
• Skipped posting 3 drafted comments based on config settings.

1. instructor/batch.py:3

• Draft comment:
  Consider providing a reason for using # type: ignore with Field from pydantic to ensure it's necessary and not masking issues. This applies to other files as well.
• Reason this comment was not posted:
  Confidence changes required: 50%
  The # type: ignore comment is used to suppress type checking for the Field import from pydantic. This is done in multiple files, but the reason for ignoring type checks is not clear from the PR description or the code. It's important to ensure that this is necessary and not masking potential issues.

2. instructor/multimodal.py:21

• Draft comment:
  Add a space before # type: ignore for consistency.

from pydantic import BaseModel, Field  # type: ignore

• Reason this comment was not posted:
  Confidence changes required: 50%
  The # type: ignore comments added to the pydantic.Field imports in batch.py and multimodal.py should be consistent in spacing for better readability.

3. instructor/batch.py:3

• Draft comment:
  Add a space before # type: ignore for consistency.

from pydantic import BaseModel, Field  # type: ignore

• Reason this comment was not posted:
  Confidence changes required: 50%
  The # type: ignore comments added to the pydantic.Field imports in batch.py and multimodal.py should be consistent in spacing for better readability.

Workflow ID: wflow_bKax2eiLGnViQvtn

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