relai-ai/numba-standard · Datasets at Hugging Face

Question stringlengths 38 229	Response stringlengths 1 359 ⌀
What is the purpose of the `numba.types.NPTimedelta` class, and what kind of string should be provided as its parameter?	Create a Numba type for NumPy timedeltas; the parameter should be a string representing a recognized NumPy datetime unit, such as `Y`, `M`, or `D`.
What is the date of the version labeled as 0.57.1 in the release history?	21 June, 2023
What is the Numba shorthand alias for a double-precision floating-point number?	f8
What is the Numba shorthand alias for a double-precision complex number?	c16
What are the possible forms for specifying the _signature_ in a Numba JIT function decoration in version 0.51.0?	- A tuple of types (e.g., `(numba.int32, numba.double)`) - A call signature with types (e.g., `numba.void(numba.int32, numba.double)`) - A string representation (e.g., `"void(int32, double)"`)
Which option disables first-class function support specifically for Numba JIT compiled functions and Numba cfunc compiled functions?	`no_cfunc_wrapper=True`
What is the cache setting requirement for enabling caching in numba's generalized ufuncs, and which targets support it?	_cache_ = True; "cpu" and "parallel" targets.
What method must a WAP object define to provide the memory address of a first-class function when using Numba JIT compiled functions?	__wrapper_address__
What are the caching limitations of the compiled functions when using different backend targets in Numba?	Only the "cpu" and "parallel" targets support caching.
What condition would cause first-class function support to be disabled for a Numba JIT compiled function?	Using a non-CPU compiler, the compiled function is a Python generator, the compiled function has Omitted arguments, or the compiled function returns Optional value.
What must be set to True to enable caching for the compiled function when using Numba's vectorize decorator with CPU or parallel targets?	cache
What happens if bounds checking is disabled for array indices in a function compiled with Numba?	Out of bounds accesses can produce garbage results or segfaults.
What happens if a function cannot be cached due to some of its functionality according to the reference?	A warning is emitted.
What specific keyword would you use in Numba to declare a one-dimensional contiguous array of single-precision floating-point numbers?	numba.float32[::1]
Which version of Numba first introduces a release with a March 2021 date?	0.53.0
What are the restrictions for first-class function support in Numba JIT compiled functions, and how is this feature disabled?	Restrictions: Non-CPU compiler, Python generator, Omitted arguments, Optional return values. Disable: `no_cfunc_wrapper=True` decorator option.
What is the Numba shorthand alias for a double-precision floating-point number?	f8
What is the Numba type created for a Python tuple containing an integer and a float in nopython mode?	(int64, float64)
What is the primary method implemented by a Wrapper Address Protocol (WAP) object to return the memory address of a first-class function in Numba?	__wrapper_address__
Which attribute of a `numba.pycc.CC` instance is used to specify the CPU model for generating code and allows selecting the appropriate instruction set extensions?	target_cpu
What is the necessary condition for a sequence of first-class function objects in Numba to be valid?	At least one of the items in a sequence of first-class function objects must have a precise type.
What is necessary for a Python object to be considered a first-class function in Numba version 3.13 when using the Wrapper Address Protocol?	A Python object must define the `__wrapper_address__` and `signature` methods.
What does the `layout` parameter specify when creating a Numba array type with `numba.types.Array`, and what are its possible values?	`A` (any layout), `C` (C-contiguous), `F` (Fortran-contiguous)
What is the shorthand alias for a double-precision floating-point number in Numba version 0.19.1?	f8
Which decorator option should be used to disable first-class function support in Numba JIT compiled functions and Numba cfunc compiled functions?	`no_cfunc_wrapper=True`
What is the effect of using `::1` in a Numba array type declaration?	It specifies a contiguous array layout.
Which version listed in the document had no release?	Version 0.56.1
In Numba, what keyword argument allows you to compile a function assuming everything is a Python object, and what is the impact on performance?	`forceobj=True`; impacts performance by running code in the interpreter, reducing speed.
What is the primary restriction when using Numba `cfunc` compiled functions for automatic overload in the context of first-class function objects?	Automatic overload: no
What is required for a Python object to be used as a first-class function in Numba's JIT compiled functions through the Wrapper Address Protocol?	Define `__wrapper_address__` and `signature` methods.
What attribute of Dispatcher objects in the Numba framework allows you to view the LLVM IR generated for a specific function signature?	inspect_llvm
What is the effect of enabling the cache option in Numba's @numba.jit decorator?	Reduces compilation time by reusing previously compiled functions from a file-based cache.
What is the purpose of the `as_numba_type` function in Numba and how does it handle Python type annotations?	Convert Python type annotations into Numba types at compile time; raises `TypingError` if conversion fails.
What is the date of the latest version of Numba listed in the reference?	25 July, 2022
Which operating systems and architectures are officially supported by the just-in-time compiler Numba, as of version 0.53.0?	Windows (64 bit), OSX, Linux (64 bit); x86, x86_64, ppc64le, armv8l (aarch64), M1/Arm64.
What is the class name of objects created by the `numba.cfunc()` decorator and what attribute provides the address of the compiled C callback?	CFunc address
Which release of Numba was not publicly released according to the version history?	Version 0.56.1
What are the signature methods a WAP object must define to be used as a first-class function in Numba version given?	__wrapper_address__, signature
Which function is used to create a Numba type from a given Python type annotation, and what error is raised if the conversion fails?	as_numba_type; TypingError
What is the release date of version 0.56.0 in the software version history?	25 July, 2022
What is a Wrapper Address Protocol (WAP) object required to define for use as a first-class function in Numba JIT compiled functions?	__wrapper_address__ and signature
What syntax does Numba use to define a 3-dimensional single-precision floating-point array in version 0.27.0?	numba.float32[:, :, :]
What are the necessary methods that a Wrapper Address Protocol (WAP) object must define to be used as a first-class function in Numba JIT compiled functions?	__wrapper_address__, signature
What is the Numba shorthand alias for a double-precision floating-point number?	f8
What does the _fastmath_ option enable when Intel SVML is installed, according to the Numba version 0.26.0 documentation?	Faster but less accurate versions of some math intrinsics are used (answers to within 4 ULP).
What is one scenario that prevents a Numba JIT compiled function from being considered a first-class function object?	The compiled function is a Python generator.
What is the purpose of the `_identity_` parameter in the `@numba.vectorize` decorator when implementing a function as a NumPy ufunc or a Numba DUFunc?	The `_identity_` parameter specifies the identity (or unit) value of the function being implemented. Possible values are 0, 1, None, and "reorderable".
What is the function of the `verbose` attribute in the `numba.pycc.CC` class?	If true, print out information while compiling the extension. False by default.
What is the effect of using `numba.carray()` in terms of data modification when applied to a ctypes pointer object in Python?	It modifies the original data.
What type in Numba is represented as a double-precision float and what is its shorthand alias?	float64, f8
What does the `accumulate` method do when applied to a DUFunc on a given array?	Accumulates the result of applying the operator to all elements.
What are the conditions under which first-class function support is not enabled for Numba JIT compiled functions in the current version?	- Using a non-CPU compiler - The function is a Python generator - The function has omitted arguments - The function returns an optional value
What attribute of the `CFunc` class provides the integer address of the compiled C callback in Numba?	address
What disables the use of first-class function support in Numba JIT compiled functions?	Using a non-CPU compiler, the compiled function is a Python generator, the compiled function has Omitted arguments, or the compiled function returns an Optional value.
What is the required target setting for caching when parallelizing in Numba's `@vectorize` function?	"parallel"
What happens when a Numba DUFunc call fails during execution?	DUFunc passes along the exception to the caller.
What is required for the `@vectorize` decorator in Numba to use the "parallel" target?	Signatures are required.
What is the required layout string format for a `numba.guvectorize` function handling matrix multiplication in version 0.5.9?	"(m,n),(n,p)->(m,p)"
Which two methods must a Numba Wrapper Address Protocol (WAP) object define to act as a first-class function within JIT compiled functions?	__wrapper_address__, signature
Which version between 0.56.0 and 0.57.0 was marked as not released?	0.56.1
What is the release date of Version 0.56.0 based on the provided version history?	25 July, 2022
What is the function of the `__wrapper_address__()` method in Numba's Wrapper Address Protocol?	Return the memory address of a first-class function.
What Numba feature is not supported for functions that use a non-CPU compiler, are Python generators, have omitted arguments, or return an optional value?	First-class function support.
What is the effect of setting the _boundscheck_ parameter to true in Numba version 3.13?	Enabling bounds checking for array indices; out-of-bounds accesses will raise an IndexError.
What must a WAP object implemented for use with Numba JIT compiled functions define to return the signature of a first-class function?	signature(_self_) → numba.typing.Signature
What is the purpose of the _cache_ parameter when using the @jit decorator in Numba version 3.13?	To enable file-based caching, shortening compilation times for previously compiled functions.
What method must a WAP object implement to allow being called from a Numba JIT compiled function in object mode?	__call__
What is the primary reason Numba requires its own type system for generating efficient machine code?	Python’s standard types are not precise enough.
What decorator option can be used to disable first-class function support in Numba JIT compiled functions?	no_cfunc_wrapper=True
In Numba, what methods must a Wrapper Address Protocol (WAP) object implement to be used as a first-class function object in JIT compiled functions?	__wrapper_address__, signature
What decorator in Numba version 0.49.0 allows for automatic parallelization of Python code?	@jit
What string should be used in the `numba.types.Array` function to specify that the array layout is Fortran-contiguous?	F
What does the numba.optional function allow when defining a function with the @jit decorator?	It allows any value of either the specified type or `None`.
What is the purpose of the `numba.optional` function and what types of values does it allow?	`numba.optional` allows values of either the specified Numba type or `None`.
What is the result of using `numba.from_dtype()` on a structured NumPy dtype with fields 'row' and 'col' of type `np.float64`?	Record([('row', '<f8'), ('col', '<f8')])
What error is raised if a Python type annotation can't be mapped to a Numba type using `numba.extending.as_numba_type`?	TypingError
What is the role of the identity value when using a ufunc as a reduction in NumPy?	The identity value is used as the starting value for the reduction process.
What method is necessary for a WAP object when it is called from Numba JIT compiled functions in object mode?	\_\_call\_\_
Which type in Numba is represented as a single byte and is accessed as `numba.boolean`?	boolean
How would you write a function signature for a Numba function that takes two 16-bit signed integers as input and returns a single-precision floating-point number in Numba version 0.31.0?	"f4(i2, i2)"
What is the shorthand alias for a 64-bit signed integer in the current Numba type system version 0.30.0?	i8
Which Numba decorator allows for automatic parallelization of Python code?	`@jit`
In Numba, what decorator option is used to disable first-class function support for compiled functions?	no_cfunc_wrapper=True
What does the `numba.extending.as_numba_type` function return when provided with a Python list of floats as input?	TypingError
What is the effect of setting the `nopython` flag to true in a Numba JIT compilation?	Forces compilation in nopython mode; raises an error if not possible.
What is the purpose of the `__wrapper_address__` method in a Wrapper Address Protocol (WAP) object within the Numba version provided?	Return the memory address of a first-class function.
What are the limitations of standard ufuncs in the context of supported NumPy features?	Standard ufuncs limitations in the context of NumPy features
What are the two required methods a Wrapper Address Protocol object must implement for use in Numba JIT compiled functions?	__wrapper_address__, signature
What is the shorthand alias for a double-precision complex number type in Numba?	c16
What is the correct syntax for declaring a 3-dimensional contiguous array of single-precision floating-point numbers in Numba?	numba.float32[:, :, ::1]
What happens if a NumPy ufunc call fails when using a DUFunc object in Numba?	If the NumPy ufunc call fails, Numba attempts to build a new loop for the input types and calls the ufunc again. If the second attempt fails or a compilation error occurs, the exception is passed to the caller.
What shorthand alias does Numba use for a 64-bit unsigned integer?	u8
What is the Numba syntax for declaring a three-dimensional array of single-precision floating-point numbers?	numba.float32[:, :, :]
What are the limitations of using first-class function support in Numba version 0.2?	Using a non-CPU compiler, Python generators, omitted arguments, or returning optional values.
What is the effect of specifying the `::1` index in a Numba array type declaration?	Specifying the `::1` index in a Numba array type declaration enforces a C-contiguous or F-contiguous layout for the array.
What is the purpose of the `cache` parameter in the `@numba.jit` decorator for version 0.17.0?	To enable a file-based cache to shorten compilation times.
What does the `native_name` attribute of a `CFunc` object represent in the LLVM IR for a compiled C callback in Numba?	The name of the compiled C callback.
What is the requirement for specifying signatures when targeting "parallel" in the Numba `@vectorize` decorator?	Signatures are required.
What is the specific condition under which caching is supported for the compiled functions targeting "cpu" and "parallel" in Numba?	Setting `cache=True`.
What is the alias used for a single-precision complex number in Numba version 0.23.1?	c8

What is the purpose of the `numba.types.NPTimedelta` class, and what kind of string should be provided as its parameter?

Create a Numba type for NumPy timedeltas; the parameter should be a string representing a recognized NumPy datetime unit, such as `Y`, `M`, or `D`.

What is the date of the version labeled as 0.57.1 in the release history?

21 June, 2023

What is the Numba shorthand alias for a double-precision floating-point number?

f8

What is the Numba shorthand alias for a double-precision complex number?

c16

What are the possible forms for specifying the _signature_ in a Numba JIT function decoration in version 0.51.0?

- A tuple of types (e.g., `(numba.int32, numba.double)`) - A call signature with types (e.g., `numba.void(numba.int32, numba.double)`) - A string representation (e.g., `"void(int32, double)"`)

Which option disables first-class function support specifically for Numba JIT compiled functions and Numba cfunc compiled functions?

`no_cfunc_wrapper=True`

What is the cache setting requirement for enabling caching in numba's generalized ufuncs, and which targets support it?

_cache_ = True; "cpu" and "parallel" targets.

What method must a WAP object define to provide the memory address of a first-class function when using Numba JIT compiled functions?

__wrapper_address__

What are the caching limitations of the compiled functions when using different backend targets in Numba?

Only the "cpu" and "parallel" targets support caching.

What condition would cause first-class function support to be disabled for a Numba JIT compiled function?

Using a non-CPU compiler, the compiled function is a Python generator, the compiled function has Omitted arguments, or the compiled function returns Optional value.

What must be set to True to enable caching for the compiled function when using Numba's vectorize decorator with CPU or parallel targets?

cache

What happens if bounds checking is disabled for array indices in a function compiled with Numba?

Out of bounds accesses can produce garbage results or segfaults.

What happens if a function cannot be cached due to some of its functionality according to the reference?

A warning is emitted.

What specific keyword would you use in Numba to declare a one-dimensional contiguous array of single-precision floating-point numbers?

numba.float32[::1]

Which version of Numba first introduces a release with a March 2021 date?

0.53.0

What are the restrictions for first-class function support in Numba JIT compiled functions, and how is this feature disabled?

Restrictions: Non-CPU compiler, Python generator, Omitted arguments, Optional return values. Disable: `no_cfunc_wrapper=True` decorator option.

What is the Numba shorthand alias for a double-precision floating-point number?

f8

What is the Numba type created for a Python tuple containing an integer and a float in nopython mode?

(int64, float64)

What is the primary method implemented by a Wrapper Address Protocol (WAP) object to return the memory address of a first-class function in Numba?

__wrapper_address__

Which attribute of a `numba.pycc.CC` instance is used to specify the CPU model for generating code and allows selecting the appropriate instruction set extensions?

target_cpu

What is the necessary condition for a sequence of first-class function objects in Numba to be valid?

At least one of the items in a sequence of first-class function objects must have a precise type.

What is necessary for a Python object to be considered a first-class function in Numba version 3.13 when using the Wrapper Address Protocol?

A Python object must define the `__wrapper_address__` and `signature` methods.

What does the `layout` parameter specify when creating a Numba array type with `numba.types.Array`, and what are its possible values?

`A` (any layout), `C` (C-contiguous), `F` (Fortran-contiguous)

What is the shorthand alias for a double-precision floating-point number in Numba version 0.19.1?

f8

Which decorator option should be used to disable first-class function support in Numba JIT compiled functions and Numba cfunc compiled functions?

`no_cfunc_wrapper=True`

What is the effect of using `::1` in a Numba array type declaration?

It specifies a contiguous array layout.

Which version listed in the document had no release?

Version 0.56.1

In Numba, what keyword argument allows you to compile a function assuming everything is a Python object, and what is the impact on performance?

`forceobj=True`; impacts performance by running code in the interpreter, reducing speed.

What is the primary restriction when using Numba `cfunc` compiled functions for automatic overload in the context of first-class function objects?

Automatic overload: no

What is required for a Python object to be used as a first-class function in Numba's JIT compiled functions through the Wrapper Address Protocol?

Define `__wrapper_address__` and `signature` methods.

What attribute of Dispatcher objects in the Numba framework allows you to view the LLVM IR generated for a specific function signature?

inspect_llvm

What is the effect of enabling the cache option in Numba's @numba.jit decorator?

Reduces compilation time by reusing previously compiled functions from a file-based cache.

What is the purpose of the `as_numba_type` function in Numba and how does it handle Python type annotations?

Convert Python type annotations into Numba types at compile time; raises `TypingError` if conversion fails.

What is the date of the latest version of Numba listed in the reference?

25 July, 2022

Which operating systems and architectures are officially supported by the just-in-time compiler Numba, as of version 0.53.0?

Windows (64 bit), OSX, Linux (64 bit); x86, x86_64, ppc64le, armv8l (aarch64), M1/Arm64.

What is the class name of objects created by the `numba.cfunc()` decorator and what attribute provides the address of the compiled C callback?

CFunc address

Which release of Numba was not publicly released according to the version history?

Version 0.56.1

What are the signature methods a WAP object must define to be used as a first-class function in Numba version given?

__wrapper_address__, signature

Which function is used to create a Numba type from a given Python type annotation, and what error is raised if the conversion fails?

as_numba_type; TypingError

What is the release date of version 0.56.0 in the software version history?

25 July, 2022

What is a Wrapper Address Protocol (WAP) object required to define for use as a first-class function in Numba JIT compiled functions?

__wrapper_address__ and signature

What syntax does Numba use to define a 3-dimensional single-precision floating-point array in version 0.27.0?

numba.float32[:, :, :]

What are the necessary methods that a Wrapper Address Protocol (WAP) object must define to be used as a first-class function in Numba JIT compiled functions?

__wrapper_address__, signature

What is the Numba shorthand alias for a double-precision floating-point number?

f8

What does the _fastmath_ option enable when Intel SVML is installed, according to the Numba version 0.26.0 documentation?

Faster but less accurate versions of some math intrinsics are used (answers to within 4 ULP).

What is one scenario that prevents a Numba JIT compiled function from being considered a first-class function object?

The compiled function is a Python generator.

What is the purpose of the `_identity_` parameter in the `@numba.vectorize` decorator when implementing a function as a NumPy ufunc or a Numba DUFunc?

The `_identity_` parameter specifies the identity (or unit) value of the function being implemented. Possible values are 0, 1, None, and "reorderable".

What is the function of the `verbose` attribute in the `numba.pycc.CC` class?

If true, print out information while compiling the extension. False by default.

What is the effect of using `numba.carray()` in terms of data modification when applied to a ctypes pointer object in Python?

It modifies the original data.

What type in Numba is represented as a double-precision float and what is its shorthand alias?

float64, f8

What does the `accumulate` method do when applied to a DUFunc on a given array?

Accumulates the result of applying the operator to all elements.

What are the conditions under which first-class function support is not enabled for Numba JIT compiled functions in the current version?

- Using a non-CPU compiler - The function is a Python generator - The function has omitted arguments - The function returns an optional value

What attribute of the `CFunc` class provides the integer address of the compiled C callback in Numba?

address

What disables the use of first-class function support in Numba JIT compiled functions?

Using a non-CPU compiler, the compiled function is a Python generator, the compiled function has Omitted arguments, or the compiled function returns an Optional value.

What is the required target setting for caching when parallelizing in Numba's `@vectorize` function?

"parallel"

What happens when a Numba DUFunc call fails during execution?

DUFunc passes along the exception to the caller.

What is required for the `@vectorize` decorator in Numba to use the "parallel" target?

Signatures are required.

What is the required layout string format for a `numba.guvectorize` function handling matrix multiplication in version 0.5.9?

"(m,n),(n,p)->(m,p)"

Which two methods must a Numba Wrapper Address Protocol (WAP) object define to act as a first-class function within JIT compiled functions?

__wrapper_address__, signature

Which version between 0.56.0 and 0.57.0 was marked as not released?

0.56.1

What is the release date of Version 0.56.0 based on the provided version history?

25 July, 2022

What is the function of the `__wrapper_address__()` method in Numba's Wrapper Address Protocol?

Return the memory address of a first-class function.

What Numba feature is not supported for functions that use a non-CPU compiler, are Python generators, have omitted arguments, or return an optional value?

First-class function support.

What is the effect of setting the _boundscheck_ parameter to true in Numba version 3.13?

Enabling bounds checking for array indices; out-of-bounds accesses will raise an IndexError.

What must a WAP object implemented for use with Numba JIT compiled functions define to return the signature of a first-class function?

signature(_self_) → numba.typing.Signature

What is the purpose of the _cache_ parameter when using the @jit decorator in Numba version 3.13?

To enable file-based caching, shortening compilation times for previously compiled functions.

What method must a WAP object implement to allow being called from a Numba JIT compiled function in object mode?

__call__

What is the primary reason Numba requires its own type system for generating efficient machine code?

Python’s standard types are not precise enough.

What decorator option can be used to disable first-class function support in Numba JIT compiled functions?

no_cfunc_wrapper=True

In Numba, what methods must a Wrapper Address Protocol (WAP) object implement to be used as a first-class function object in JIT compiled functions?

__wrapper_address__, signature

What decorator in Numba version 0.49.0 allows for automatic parallelization of Python code?

@jit

What string should be used in the `numba.types.Array` function to specify that the array layout is Fortran-contiguous?

F

What does the numba.optional function allow when defining a function with the @jit decorator?

It allows any value of either the specified type or `None`.

What is the purpose of the `numba.optional` function and what types of values does it allow?

`numba.optional` allows values of either the specified Numba type or `None`.

What is the result of using `numba.from_dtype()` on a structured NumPy dtype with fields 'row' and 'col' of type `np.float64`?

Record([('row', '<f8'), ('col', '<f8')])

What error is raised if a Python type annotation can't be mapped to a Numba type using `numba.extending.as_numba_type`?

TypingError

What is the role of the identity value when using a ufunc as a reduction in NumPy?

The identity value is used as the starting value for the reduction process.

What method is necessary for a WAP object when it is called from Numba JIT compiled functions in object mode?

\_\_call\_\_

Which type in Numba is represented as a single byte and is accessed as `numba.boolean`?

boolean

How would you write a function signature for a Numba function that takes two 16-bit signed integers as input and returns a single-precision floating-point number in Numba version 0.31.0?

"f4(i2, i2)"

What is the shorthand alias for a 64-bit signed integer in the current Numba type system version 0.30.0?

i8

Which Numba decorator allows for automatic parallelization of Python code?

`@jit`

In Numba, what decorator option is used to disable first-class function support for compiled functions?

no_cfunc_wrapper=True

What does the `numba.extending.as_numba_type` function return when provided with a Python list of floats as input?

TypingError

What is the effect of setting the `nopython` flag to true in a Numba JIT compilation?

Forces compilation in nopython mode; raises an error if not possible.

What is the purpose of the `__wrapper_address__` method in a Wrapper Address Protocol (WAP) object within the Numba version provided?

Return the memory address of a first-class function.

What are the limitations of standard ufuncs in the context of supported NumPy features?

Standard ufuncs limitations in the context of NumPy features

What are the two required methods a Wrapper Address Protocol object must implement for use in Numba JIT compiled functions?

__wrapper_address__, signature

What is the shorthand alias for a double-precision complex number type in Numba?

c16

What is the correct syntax for declaring a 3-dimensional contiguous array of single-precision floating-point numbers in Numba?

numba.float32[:, :, ::1]

What happens if a NumPy ufunc call fails when using a DUFunc object in Numba?

If the NumPy ufunc call fails, Numba attempts to build a new loop for the input types and calls the ufunc again. If the second attempt fails or a compilation error occurs, the exception is passed to the caller.

What shorthand alias does Numba use for a 64-bit unsigned integer?

u8

What is the Numba syntax for declaring a three-dimensional array of single-precision floating-point numbers?

numba.float32[:, :, :]

What are the limitations of using first-class function support in Numba version 0.2?

Using a non-CPU compiler, Python generators, omitted arguments, or returning optional values.

What is the effect of specifying the `::1` index in a Numba array type declaration?

Specifying the `::1` index in a Numba array type declaration enforces a C-contiguous or F-contiguous layout for the array.

What is the purpose of the `cache` parameter in the `@numba.jit` decorator for version 0.17.0?

To enable a file-based cache to shorten compilation times.

What does the `native_name` attribute of a `CFunc` object represent in the LLVM IR for a compiled C callback in Numba?

The name of the compiled C callback.

What is the requirement for specifying signatures when targeting "parallel" in the Numba `@vectorize` decorator?

Signatures are required.

What is the specific condition under which caching is supported for the compiled functions targeting "cpu" and "parallel" in Numba?

Setting `cache=True`.

What is the alias used for a single-precision complex number in Numba version 0.23.1?

c8