Use of assert detected. The enclosed code will be removed when compiling to optimised byte code. Open
assert len(tiling_scheme) == 1, "incompatible tiling scheme! (%r)" % (tiling_scheme)
- Exclude checks
Use of assert detected. The enclosed code will be removed when compiling to optimised byte code. Open
assert all(ts <= ps for (ts, ps) in zip(tileshape_nd, self.slice_nd.shape))
- Exclude checks
Use of assert detected. The enclosed code will be removed when compiling to optimised byte code. Open
assert array_backend in (NUMPY, CUDA)
- Exclude checks
File hdf5.py
has 725 lines of code (exceeds 400 allowed). Consider refactoring. Open
import contextlib
import typing
from typing import Optional, Tuple, List
import warnings
import logging
Cyclomatic complexity is too high in method get_partitions. (11) Open
def get_partitions(self):
# ds_shape = Shape(self.shape, sig_dims=self.sig_dims)
ds_shape: Shape = self.meta['ds_raw_shape']
ds_slice = Slice(origin=[0] * len(ds_shape), shape=ds_shape)
target_size = self.target_size
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- Exclude checks
Cyclomatic Complexity
Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.
Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:
Construct | Effect on CC | Reasoning |
---|---|---|
if | +1 | An if statement is a single decision. |
elif | +1 | The elif statement adds another decision. |
else | +0 | The else statement does not cause a new decision. The decision is at the if. |
for | +1 | There is a decision at the start of the loop. |
while | +1 | There is a decision at the while statement. |
except | +1 | Each except branch adds a new conditional path of execution. |
finally | +0 | The finally block is unconditionally executed. |
with | +1 | The with statement roughly corresponds to a try/except block (see PEP 343 for details). |
assert | +1 | The assert statement internally roughly equals a conditional statement. |
Comprehension | +1 | A list/set/dict comprehension of generator expression is equivalent to a for loop. |
Boolean Operator | +1 | Every boolean operator (and, or) adds a decision point. |
Function get_partitions
has a Cognitive Complexity of 18 (exceeds 5 allowed). Consider refactoring. Open
def get_partitions(self):
# ds_shape = Shape(self.shape, sig_dims=self.sig_dims)
ds_shape: Shape = self.meta['ds_raw_shape']
ds_slice = Slice(origin=[0] * len(ds_shape), shape=ds_shape)
target_size = self.target_size
- Read upRead up
Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Cyclomatic complexity is too high in method _get_tiles_normal. (9) Open
def _get_tiles_normal(self, tiling_scheme: TilingScheme, dest_dtype):
with self._get_h5ds() as dataset:
# because the dtype conversion done by HDF5 itself can be quite slow,
# we need to use a buffer for reading in hdf5 native dtype:
data_flat = np.zeros(tiling_scheme.shape, dtype=dataset.dtype).reshape((-1,))
- Read upRead up
- Exclude checks
Cyclomatic Complexity
Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.
Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:
Construct | Effect on CC | Reasoning |
---|---|---|
if | +1 | An if statement is a single decision. |
elif | +1 | The elif statement adds another decision. |
else | +0 | The else statement does not cause a new decision. The decision is at the if. |
for | +1 | There is a decision at the start of the loop. |
while | +1 | There is a decision at the while statement. |
except | +1 | Each except branch adds a new conditional path of execution. |
finally | +0 | The finally block is unconditionally executed. |
with | +1 | The with statement roughly corresponds to a try/except block (see PEP 343 for details). |
assert | +1 | The assert statement internally roughly equals a conditional statement. |
Comprehension | +1 | A list/set/dict comprehension of generator expression is equivalent to a for loop. |
Boolean Operator | +1 | Every boolean operator (and, or) adds a decision point. |
Cyclomatic complexity is too high in method _do_initialize. (9) Open
def _do_initialize(self):
if self.ds_path is None:
try:
datasets = _get_datasets(self.path)
largest_ds = max(datasets, key=lambda x: prod(x.shape))
- Read upRead up
- Exclude checks
Cyclomatic Complexity
Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.
Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:
Construct | Effect on CC | Reasoning |
---|---|---|
if | +1 | An if statement is a single decision. |
elif | +1 | The elif statement adds another decision. |
else | +0 | The else statement does not cause a new decision. The decision is at the if. |
for | +1 | There is a decision at the start of the loop. |
while | +1 | There is a decision at the while statement. |
except | +1 | Each except branch adds a new conditional path of execution. |
finally | +0 | The finally block is unconditionally executed. |
with | +1 | The with statement roughly corresponds to a try/except block (see PEP 343 for details). |
assert | +1 | The assert statement internally roughly equals a conditional statement. |
Comprehension | +1 | A list/set/dict comprehension of generator expression is equivalent to a for loop. |
Boolean Operator | +1 | Every boolean operator (and, or) adds a decision point. |
H5DataSet
has 21 functions (exceeds 20 allowed). Consider refactoring. Open
class H5DataSet(DataSet):
"""
Read data from a HDF5 data set.
Examples
Cyclomatic complexity is too high in method _get_subslices. (7) Open
def _get_subslices(self, tiling_scheme):
"""
Generate partition subslices for the given tiling scheme for the different cases.
"""
if tiling_scheme.intent == "partition":
- Read upRead up
- Exclude checks
Cyclomatic Complexity
Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.
Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:
Construct | Effect on CC | Reasoning |
---|---|---|
if | +1 | An if statement is a single decision. |
elif | +1 | The elif statement adds another decision. |
else | +0 | The else statement does not cause a new decision. The decision is at the if. |
for | +1 | There is a decision at the start of the loop. |
while | +1 | There is a decision at the while statement. |
except | +1 | Each except branch adds a new conditional path of execution. |
finally | +0 | The finally block is unconditionally executed. |
with | +1 | The with statement roughly corresponds to a try/except block (see PEP 343 for details). |
assert | +1 | The assert statement internally roughly equals a conditional statement. |
Comprehension | +1 | A list/set/dict comprehension of generator expression is equivalent to a for loop. |
Boolean Operator | +1 | Every boolean operator (and, or) adds a decision point. |
Cyclomatic complexity is too high in method adjust_tileshape. (6) Open
def adjust_tileshape(self, tileshape, roi):
chunks = self._chunks
sig_shape = self.shape.sig
if roi is not None:
return (1,) + sig_shape
- Read upRead up
- Exclude checks
Cyclomatic Complexity
Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.
Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:
Construct | Effect on CC | Reasoning |
---|---|---|
if | +1 | An if statement is a single decision. |
elif | +1 | The elif statement adds another decision. |
else | +0 | The else statement does not cause a new decision. The decision is at the if. |
for | +1 | There is a decision at the start of the loop. |
while | +1 | There is a decision at the while statement. |
except | +1 | Each except branch adds a new conditional path of execution. |
finally | +0 | The finally block is unconditionally executed. |
with | +1 | The with statement roughly corresponds to a try/except block (see PEP 343 for details). |
assert | +1 | The assert statement internally roughly equals a conditional statement. |
Comprehension | +1 | A list/set/dict comprehension of generator expression is equivalent to a for loop. |
Boolean Operator | +1 | Every boolean operator (and, or) adds a decision point. |
Function _get_tiles_normal
has a Cognitive Complexity of 13 (exceeds 5 allowed). Consider refactoring. Open
def _get_tiles_normal(self, tiling_scheme: TilingScheme, dest_dtype):
with self._get_h5ds() as dataset:
# because the dtype conversion done by HDF5 itself can be quite slow,
# we need to use a buffer for reading in hdf5 native dtype:
data_flat = np.zeros(tiling_scheme.shape, dtype=dataset.dtype).reshape((-1,))
- Read upRead up
Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Function _get_subslices
has a Cognitive Complexity of 9 (exceeds 5 allowed). Consider refactoring. Open
def _get_subslices(self, tiling_scheme):
"""
Generate partition subslices for the given tiling scheme for the different cases.
"""
if tiling_scheme.intent == "partition":
- Read upRead up
Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Function __init__
has 10 arguments (exceeds 8 allowed). Consider refactoring. Open
def __init__(self, path, ds_path=None, tileshape=None, nav_shape=None, sig_shape=None,
Function _get_datasets
has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring. Open
def _get_datasets(path):
datasets: List[HDF5ArrayDescriptor] = []
timeout = 3
t0 = current_time()
- Read upRead up
Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Function _do_initialize
has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring. Open
def _do_initialize(self):
if self.ds_path is None:
try:
datasets = _get_datasets(self.path)
largest_ds = max(datasets, key=lambda x: prod(x.shape))
- Read upRead up
Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Function _get_subslices_chunked_tiled
has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring. Open
def _get_subslices_chunked_tiled(self, tiling_scheme, scheme_lookup, nav_dims, tileshape_nd):
"""
general tiled reading w/ chunking outer loop is a chunk in
signal dimensions, inner loop is over "rows in nav"
"""
- Read upRead up
Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"