Dependency Graph

Online documentation:

Dependency Matrix

Online documentation:

Visualizing Code Metrics through Treemaping

With the Online documentation, understand how Treemaping can help you see patterns in your code base, that would be hard to spot with other ways.

Abstractness versus Instability Diagram

The Abstractness versus Instability Diagram helps to detect which Projects are potentially painful to maintain (i.e concrete and stable) and which Projects are potentially useless (i.e abstract and instable).

Online documentation:

For beginners: Where to start

Code queries and rules results are truncated to list a maximum of 100 code elements in this report

Does this report gets too large?

Quick Tips

Main
Main \ Rules
Main \ Quality Gates
Main \ Quality Gates \ Project Rules
Main \ Quality Gates \ Project Rules \ Quality Gates
Main \ Rules \ Project Rules
Main \ Rules \ Project Rules \ Code Smells
Main \ Rules \ Project Rules \ Pep8
Main \ Rules \ Project Rules \ Pep8 \ Naming Convention
Main \ Rules \ Project Rules \ Pep8 \ Whitespace
Main \ Rules \ Project Rules \ Classes
Main \ Rules \ Project Rules \ Statements
Main \ Rules \ Project Rules \ File Format
Main \ Rules \ Project Rules \ Import
Main \ Rules \ Project Rules \ Variables
Main \ Rules \ Project Rules \ Exceptions
Main \ Rules \ Project Rules \ Type Check
Main \ Rules \ Project Rules \ String Format
Main \ Rules \ Project Rules \ Standard Lib
Main \ Rules \ Project Rules \ Refactoring
Main \ Group of Queries \ Quality Gates
Main \ Group of Queries \ Indentation
Main \ Group of Queries \ Whitespace
Main \ Group of Queries \ Blank line
Main \ Group of Queries \ Import
Main \ Group of Queries \ Line length
Main \ Group of Queries \ Statement
Main \ Group of Queries \ Runtime
Main \ Group of Queries \ Deprecated
Main \ Group of Queries \ API Breaking Changes
Main \ Group of Queries \ Code Diff Summary
Main \ Group of Queries \ Code Coverage
Main \ Group of Queries \ Hot Spots
Main \ Metrics \ Application Statistics
Main \ Metrics \ Projects Metrics
Main \ Metrics \ Namespaces Metrics
Main \ Metrics \ Types Metrics
Main \ Projects Dependencies
Main \ Namespaces Dependencies
Main \ Types Dependencies
Main \ Build Order
Main \ Analysis Log
Main \ Abstractness vs. Instability
Main \ Trend Charts
scanyp report summary application namenumpyreport build date09/26/2020 23:07:31analysis duration00:08:27scanyp version 2020.1.0.35   Professional Editionbaseline for comparisonBaseline is same code base snapshot.code coverage data Not Defined. To import Code Coverage Data, please read this online documentation.
Get started.Quick tips.Back to Scanyp. The present HTML report is a summary of data gathered by the analysis.
It is recommended to use the Scanyp interactive UI capabilities
to make the most of Scanyp by mastering all aspects of your code.

Diagrams

Python Projects Dependency Graph
Dependency Graph
View as ?fullscaled
Python Projects Dependency Matrix
Dependency Matrix
View as ?fullscaled
Treemap View
Treemap Metric View
View as ?fullscaled

Application Metrics

Note: Further Application Statistics are available.
# Logical lines of Code
75 350      no diff
16   (NotMyCode)      no diff
Estimated Dev Effort   1 641d      no diff
# Types
1 392      no diff
1   Projects      no diff
10 927   Methods      no diff
3 844   Fields      no diff
891   Source Files      no diff
2 081   Third-Party Elements      no diff
Comment
2.66%      no diff
2 061   Lines of Comment      no diff
Debt
14.4%      no diff
Rating   C   72d effort to reach  B
Debt   236d      no diff
Annual Interest   1 491d      no diff
Breaking Point   57d      no diff
CoverageN/A because no coverage data specified
Method Complexity
114   Max      no diff
1.72   Average      no diff
Quality Gates
Fail2
Warn1
Pass5
Rules
Critical4
Violated124
Ok276
Issues
All36 140
Blocker0
Critical3
High35 185
Medium952
Low0

Quality Gates summary

812
graphHelp Some Quality Gates fail. The build
can be stopped upon quality gate
failure. Online documentation.
graphHelp Quality Gates that measure diff cannot
be run on the baseline. Hence they
have blank trend and baseline status.
NameTrendBaseline ValueValueGroup
warning   Percentage Code Coverage
warningN/A because no coverage dataProject Rules \ Quality Gates
warning   Percentage Coverage on New Code
warningN/A because no coverage dataProject Rules \ Quality Gates
warning   Percentage Coverage on Refactored Code
warningN/A because no coverage dataProject Rules \ Quality Gates
warning   Blocker Issues
okwarning0 issueswarning0 issuesProject Rules \ Quality Gates
warning   Critical Issues
okwarning3 issueswarning3 issuesProject Rules \ Quality Gates
warning   New Blocker / Critical / High Issues
warning0 issuesProject Rules \ Quality Gates
warningCritical   Critical Rules Violated
okwarningCritical4 ruleswarningCritical4 rulesProject Rules \ Quality Gates
warning   Percentage Debt
okwarning14.4 %warning14.4 %Project Rules \ Quality Gates
warning   New Debt since Baseline
warning0 man-daysProject Rules \ Quality Gates
warningCritical   Debt Rating per File
okwarningCritical38 fileswarningCritical38 filesProject Rules \ Quality Gates
warning   New Annual Interest since Baseline
warning0 man-daysProject Rules \ Quality Gates

Rules summary

2851204
  • Number of Rules or Queries with Error (syntax error, exception thrown, time-out): 0
  • Number of Rules violated: 124
graphHelp Rules can be checked from within
VisualCppDepend.
Online documentation.
graphHelp Rules that rely on diff cannot be
run on the baseline. Hence they
have blank # Issues Fixed or Added.
Name# IssuesAddedFixedElementsGroup
warningCritical   Files too big - critical
200 filesProject Rules \ Code Smells
warningCritical   Avoid types too big
3700 typesProject Rules \ Code Smells
warning   Avoid types with too many methods
6500 typesProject Rules \ Code Smells
warning   Avoid types with too many fields
1000 typesProject Rules \ Code Smells
warningCritical   Avoid methods too big, too complex
17100 methodsProject Rules \ Code Smells
warningCritical   Avoid methods with too many parameters
10300 methodsProject Rules \ Code Smells
warning   Avoid methods with too many local variables
8600 methodsProject Rules \ Code Smells
warning   Avoid methods potentially poorly commented
53800 methodsProject Rules \ Code Smells
warning   Avoid types with poor cohesion
1000 typesProject Rules \ Code Smells
warning   Too many ancestors
800 fieldsProject Rules \ Code Smells
warning   Too many instance attributes
2200 fieldsProject Rules \ Code Smells
warning   Too few public methods
31100 fieldsProject Rules \ Code Smells
warning   Too many public methods
4800 fieldsProject Rules \ Code Smells
warning   Too many return statements
1500 fieldsProject Rules \ Code Smells
warning   Too many branches
16500 fieldsProject Rules \ Code Smells
warning   Too many arguments
19800 fieldsProject Rules \ Code Smells
warning   Too many local variables
14800 fieldsProject Rules \ Code Smells
warning   Too many statements
12200 fieldsProject Rules \ Code Smells
warning   Too many boolean expressions in if statement
300 fieldsProject Rules \ Code Smells
warning   Naming convention
1478200 fieldsProject Rules \ Pep8 \ Naming Convention
warning   Block comment should start with ‘# ‘
1000 fieldsProject Rules \ Pep8 \ Whitespace
warning   Consider using enumerate instead of iterating with range and len
3500 fieldsProject Rules \ Classes
warning   Consider iterating the dictionary directly instead of calling .keys()
1800 fieldsProject Rules \ Classes
warning   Class method should have a valid first argument
600 fieldsProject Rules \ Classes
warning   An attribute defined hides a method
100 fieldProject Rules \ Classes
warning   Access to a member before its definition line
100 fieldProject Rules \ Classes
warning   Method has no argument
200 fieldsProject Rules \ Classes
warning   Method should have self as first argument
300 fieldsProject Rules \ Classes
warning   Method could be a function
330800 fieldsProject Rules \ Classes
warning   Consider using a decorator instead of calling classmethod
100 fieldProject Rules \ Classes
warning   Class inherits from object, can be safely removed from bases in python3
700 fieldsProject Rules \ Classes
warning   Attribute defined outside init
52000 fieldsProject Rules \ Classes
warning   Access to a protected member of a client class
86100 fieldsProject Rules \ Classes
warning   Method has a different number of arguments than in the implemented interface
2500 fieldsProject Rules \ Classes
warning   Method signature is different than in the implemented interface
600 fieldsProject Rules \ Classes
warning   Method is abstract in class but is not overridden
3200 fieldsProject Rules \ Classes
warning   init method from base class is not called
800 fieldsProject Rules \ Classes
warning   init method from a non direct base class is called
200 fieldsProject Rules \ Classes
warning   Useless super delegation in method
100 fieldProject Rules \ Classes
warning   Empty docstring
800 fieldsProject Rules \ Statements
warning   Boolean expression contains an unneeded negation
2600 fieldsProject Rules \ Statements
warning   Expression is compared to singleton values like True, False or None.
6100 fieldsProject Rules \ Statements
warning   Constant is placed on the left side of a comparison
1600 fieldsProject Rules \ Statements
warning   Using type() instead of isinstance() for a typecheck.
18000 fieldsProject Rules \ Statements
warning   Symbol already defined
2700 fieldsProject Rules \ Statements
warning   Redundant comparison
2000 fieldsProject Rules \ Statements
warning   Dangerous default value as argument
5100 fieldsProject Rules \ Statements
warning   Statement seems to have no effect
9100 fieldsProject Rules \ Statements
warning   String statement has no effect
200 fieldsProject Rules \ Statements
warning   Expression is assigned to nothing
4800 fieldsProject Rules \ Statements
warning   Unnecessary pass statement
1900 fieldsProject Rules \ Statements
warning   Lambda may not be necessary
1200 fieldsProject Rules \ Statements
warning   Use of exec
600 fieldsProject Rules \ Statements
warning   Use of eval
3600 fieldsProject Rules \ Statements
warning   Using a conditional statement with a constant value
400 fieldsProject Rules \ Statements
warning   Comparing against a callable, did you omit the parenthesis?
600 fieldsProject Rules \ Statements
warning   Line too long
27400 fieldsProject Rules \ File Format
warning   Too many lines in module
5900 fieldsProject Rules \ File Format
warning   Final newline missing
300 fieldsProject Rules \ File Format
warning   Trailing newlines
1500 fieldsProject Rules \ File Format
warning   More than one statement on a single line
11500 fieldsProject Rules \ File Format
warning   Unnecessary parens after a keyword
8900 fieldsProject Rules \ File Format
warning   Wrong number of spaces is used around an operator, bracket or block opener
181700 fieldsProject Rules \ File Format
warning   Wrong indentation.
233300 fieldsProject Rules \ File Format
warning   Special method expects a specific param(s) but others were given
100 fieldProject Rules \ File Format
warning   Bad indentation.
6500 fieldsProject Rules \ File Format
warning   Mixed tabs and spaces in a module
100 fieldProject Rules \ File Format
warning   Import should be placed at the top of the module
12300 fieldsProject Rules \ Import
warning   Unable to import a module
11400 fieldsProject Rules \ Import
warning   Attempted relative import beyond top-level package
100 fieldProject Rules \ Import
warning   Wildcard import
1600 fieldsProject Rules \ Import
warning   Uses of a deprecated module
300 fieldsProject Rules \ Import
warning   Reimported module
2500 fieldsProject Rules \ Import
warning   Module import itself
300 fieldsProject Rules \ Import
warning   Undefined variable
4700 fieldsProject Rules \ Variables
warning   Undefined variable name in all
9400 fieldsProject Rules \ Variables
warning   No name in module
2100 fieldsProject Rules \ Variables
warning   Attempting to unpack a non-sequence
400 fieldsProject Rules \ Variables
warning   Using global but no assignment is done
200 fieldsProject Rules \ Variables
warning   Using the global statement
4700 fieldsProject Rules \ Variables
warning   Unused symbol
4500 fieldsProject Rules \ Variables
warning   Unused variable
32500 fieldsProject Rules \ Variables
warning   Unused argument
47200 fieldsProject Rules \ Variables
warning   Unused import from wildcard import
1300 fieldsProject Rules \ Variables
warning   Redefining name from outer scope
50300 fieldsProject Rules \ Variables
warning   Redefining built-in
20700 fieldsProject Rules \ Variables
warning   Using possibly undefined loop variable
700 fieldsProject Rules \ Variables
warning   Possible unbalanced tuple unpacking with sequence
700 fieldsProject Rules \ Variables
warning   Cell variable defined in loop
1600 fieldsProject Rules \ Variables
warning   Possibly unused variable
300 fieldsProject Rules \ Variables
warning   Catching an exception which doesn't inherit from Exception
100 fieldProject Rules \ Exceptions
warning   No exception type(s) specified
200 fieldsProject Rules \ Exceptions
warning   Catching too general exception
9100 fieldsProject Rules \ Exceptions
warning   The except handler raises immediately
200 fieldsProject Rules \ Exceptions
warning   Exception arguments suggest string formatting might be intended
100 fieldProject Rules \ Exceptions
warning   Variable is accessed for an unexistent member
206800 fieldsProject Rules \ Type Check
warning   Object being called has been inferred to a non callable object.
400 fieldsProject Rules \ Type Check
warning   No value for an argument in a call
4400 fieldsProject Rules \ Type Check
warning   Too many positional arguments for a call
1900 fieldsProject Rules \ Type Check
warning   Unexpected keyword argument in a call
37400 fieldsProject Rules \ Type Check
warning   Argument passed by position and keyword in a call
500 fieldsProject Rules \ Type Check
warning   Missing mandatory keyword argument in a call
100 fieldProject Rules \ Type Check
warning   Sequence index is not an int, slice, or instance with index
400 fieldsProject Rules \ Type Check
warning   Non-iterable value is used in an iterating context
300 fieldsProject Rules \ Type Check
warning   Non-mapping value is used in a mapping context
400 fieldsProject Rules \ Type Check
warning   Value doesn't support membership test
300 fieldsProject Rules \ Type Check
warning   Value is unsubscriptable
8300 fieldsProject Rules \ Type Check
warning   Object does not support item assignment
700 fieldsProject Rules \ Type Check
warning   Object does not support item deletion
200 fieldsProject Rules \ Type Check
warning   Duplicate string formatting argument, consider passing as named argument
100 fieldProject Rules \ String Format
warning   Using deprecated method
380800 fieldsProject Rules \ Standard Lib
warning   Consider merging these isinstance calls to isinstance
300 fieldsProject Rules \ Refactoring
warning   Too many nested blocks
1900 fieldsProject Rules \ Refactoring
warning   The if statement can be replaced
200 fieldsProject Rules \ Refactoring
warning   Redefining argument with a local name
500 fieldsProject Rules \ Refactoring
warning   Unnecessary block after return
33300 fieldsProject Rules \ Refactoring
warning   Consider using ternary
100 fieldProject Rules \ Refactoring
warning   Either all return statements in a function should return an expression, or none of them should.
3200 fieldsProject Rules \ Refactoring
warning   Useless return at end of function or method
3000 fieldsProject Rules \ Refactoring
warning   Consider merging these comparisons
400 fieldsProject Rules \ Refactoring
warning   Consider using dict.get for getting values from a dict if a key is present or a default if not
300 fieldsProject Rules \ Refactoring
warning   Simplify chained comparison between the operands
100 fieldProject Rules \ Refactoring
warning   Consider using a dictionary comprehension
400 fieldsProject Rules \ Refactoring
warning   The if expression can be replaced
200 fieldsProject Rules \ Refactoring

Application Statistics

Stat # Occurences Avg StdDev Max
Properties on interfaces interfaces 00-1 properties on
Methods on interfaces interfaces 00-1 methods on
Arguments on methods on interfaces methods 00-1 arguments on
Public properties on classes 1,895 Classes 0.030.3911 public properties on <d>numpy/<d>ma/<f>core.py/MaskedArray
Public methods on classes 1,895 classes 4.810.91269 public methods on <d>numpy/<d>core/<d>tests/<f>test_regression.py/TestRegression
Arguments on public methods on classes 9,100 methods 1.281.1523 arguments on <d>numpy/<d>lib/<f>npyio.py/__Globals/genfromtxt(fname,dtype=float,comments='#',delimiter=None,skip_header=0,skip_footer=0,converters=None,missing_values=None,filling_values=None,usecols=None,names=None,excludelist=None,deletechars=''.join(sorted(NameValidator.defaultdeletechars)),replace_space='_',autostrip=False,case_sensitive=True,defaultfmt='f%i',unpack=None,usemask=False,loose=True,invalid_raise=True,max_rows=None,encoding='bytes')
IL instructions in non-abstract methods 10,984 methods 000 IL instructions in <f>pavement.py/__Globals/__GlobalStatements()
Cyclomatic complexity on non abstract Methods 10,984 Methods 00 CC = 0 for <f>pavement.py/__Globals/__GlobalStatements()

Projects Metrics

If you wish to define thresholds on Projects' Code Metrics, consider writing some Rules.
Clicking column header arrows sorts values.
Clicking column header title text redirect to the online Code Metric definition.

Types Metrics

If the code base analyzed has too many types, Scanyp doesn't list Types Metrics to avoid a too big report. The section Types Metrics can be activated by unchecking the option:
Scanyp Project Properties > Report > Avoid too big report for large code base > Hide section Types Metrics if...
It is recommended to use the Scanyp interactive UI capabilities to browse large applications.

Namespaces Metrics

If you wish to define thresholds on namespaces' Code Metrics, consider writing some Code Rules.
Clicking column header arrows sorts values.
Clicking column header title text redirect to the online Code Metric definition.
Namespaces # lines of code# IL instruction # Types # lines of comment% Comment% CoverageAfferent CouplingEfferent Coupling
numpy-master::pavement.py5600711.11111-08
numpy-master::runtests.py2080010.4784689-015
numpy-master::setup.py1820231.754386-016
numpy-master::benchmarks/benchmarks/benc h_app.py320200-05
numpy-master::benchmarks/benchmarks/benc h_array_coercion.py180100-01
numpy-master::benchmarks/benchmarks/benc h_avx.py720600-07
numpy-master::benchmarks/benchmarks/benc h_core.py630800-04
numpy-master::benchmarks/benchmarks/benc h_function_base.py8801000-05
numpy-master::benchmarks/benchmarks/benc h_import.py120100-01
numpy-master::benchmarks/benchmarks/benc h_indexing.py310300-09
numpy-master::benchmarks/benchmarks/benc h_io.py7001000-06
numpy-master::benchmarks/benchmarks/benc h_itemselection.py130200-02
numpy-master::benchmarks/benchmarks/benc h_lib.py220200-03
numpy-master::benchmarks/benchmarks/benc h_linalg.py400300-06
numpy-master::benchmarks/benchmarks/benc h_ma.py390400-03
numpy-master::benchmarks/benchmarks/benc h_overrides.py260200-03
numpy-master::benchmarks/benchmarks/benc h_random.py530800-07
numpy-master::benchmarks/benchmarks/benc h_records.py160100-03
numpy-master::benchmarks/benchmarks/benc h_reduce.py180500-03
numpy-master::benchmarks/benchmarks/benc h_shape_base.py410300-01
numpy-master::benchmarks/benchmarks/benc h_ufunc.py600900-05
numpy-master::benchmarks/benchmarks/comm on.py420100-07
numpy-master::benchmarks/benchmarks/__in it__.py10000-00
numpy-master::doc/example.py600114.28571-00
numpy-master::doc/postprocess.py210014.545455-04
numpy-master::doc/cdoc/numpyfilter.py480000-07
numpy-master::doc/neps/conf.py400000-13
numpy-master::doc/neps/nep-0016-benchmar k.py100500-04
numpy-master::doc/neps/tools/build_index .py550000-06
numpy-master::doc/source/conf.py1050110.9433962-010
numpy-master::doc/source/f2py/setup_exam ple.py60000-02
numpy-master::doc/source/reference/rando m/performance.py550000-17
numpy-master::doc/source/user/plot_appro x.py130000-04
numpy-master::doc/source/user/plot_face .py30000-01
numpy-master::doc/source/user/plot_final .py130000-04
numpy-master::doc/source/user/plot_gray .py60000-00
numpy-master::doc/source/user/plot_gray_ svd.py110000-01
numpy-master::doc/source/user/plot_recon structed.py120000-04
numpy-master::doc/source/user/plots/matp lotlib1.py30000-02
numpy-master::doc/source/user/plots/matp lotlib2.py40000-02
numpy-master::doc/source/user/plots/matp lotlib3.py100000-04
numpy-master::numpy/conftest.py290026.451613-04
numpy-master::numpy/ctypeslib.py1400275.343512-54
numpy-master::numpy/dual.py370000-04
numpy-master::numpy/matlib.py3200820-19
numpy-master::numpy/setup.py210000-02
numpy-master::numpy/_distributor_init.py00000-00
numpy-master::numpy/_globals.py120300-111
numpy-master::numpy/_pytesttester.py410100-17
numpy-master::numpy/__init__.py80000-01
numpy-master::numpy/compat/py3k.py410125-118
numpy-master::numpy/compat/setup.py70000-02
numpy-master::numpy/compat/_inspect.py5300914.51613-23
numpy-master::numpy/compat/__init__.py50000-02
numpy-master::numpy/compat/tests/test_co mpat.py120000-04
numpy-master::numpy/compat/tests/__init_ _.py00000-00
numpy-master::numpy/core/arrayprint.py40609216.521739-311
numpy-master::numpy/core/cversions.py60000-02
numpy-master::numpy/core/defchararray.py247015524.12281-38
numpy-master::numpy/core/einsumfunc.py29900113.548387-15
numpy-master::numpy/core/fromnumeric.py207004417.52988-475
numpy-master::numpy/core/function_base .py830055.681818-15
numpy-master::numpy/core/getlimits.py1610345.333333-323
numpy-master::numpy/core/machar.py1750100-24
numpy-master::numpy/core/memmap.py650100-36
numpy-master::numpy/core/multiarray.py55002329.48718-113
numpy-master::numpy/core/numeric.py28901288.832808-3510
numpy-master::numpy/core/numerictypes.py1150186.557377-296
numpy-master::numpy/core/overrides.py550046.779661-185
numpy-master::numpy/core/records.py2540464.83871-119
numpy-master::numpy/core/setup.py3320151.552795-020
numpy-master::numpy/core/setup_common.py1050165.405406-19
numpy-master::numpy/core/shape_base.py12800139.219858-105
numpy-master::numpy/core/umath.py40000-00
numpy-master::numpy/core/umath_tests.py20000-01
numpy-master::numpy/core/_add_newdocs.py230000-03
numpy-master::numpy/core/_asarray.py2200518.51852-411
numpy-master::numpy/core/_dtype.py890044.301075-13
numpy-master::numpy/core/_dtype_ctypes .py320025.882353-04
numpy-master::numpy/core/_exceptions.py5609111.11111-163
numpy-master::numpy/core/_internal.py27706104.115226-19
numpy-master::numpy/core/_methods.py1010000-010
numpy-master::numpy/core/_string_helpers .py1100321.42857-12
numpy-master::numpy/core/_type_aliases .py1170110.877193-25
numpy-master::numpy/core/_ufunc_config .py660269.375-314
numpy-master::numpy/core/__init__.py560000-07
numpy-master::numpy/core/code_generators /genapi.py2200864.166667-212
numpy-master::numpy/core/code_generators /generate_numpy_api.py670000-04
numpy-master::numpy/core/code_generators /generate_ufunc_api.py490000-04
numpy-master::numpy/core/code_generators /generate_umath.py1720410.7142857-08
numpy-master::numpy/core/code_generators /numpy_api.py100000-00
numpy-master::numpy/core/code_generators /ufunc_docstrings.py120000-02
numpy-master::numpy/core/code_generators /__init__.py00000-00
numpy-master::numpy/core/tests/test_abc .py270100-04
numpy-master::numpy/core/tests/test_api .py2690000-010
numpy-master::numpy/core/tests/test_arra yprint.py3330500-08
numpy-master::numpy/core/tests/test_conv ersion_utils.py670800-05
numpy-master::numpy/core/tests/test_cpu_ features.py380400-06
numpy-master::numpy/core/tests/test_date time.py10400200-012
numpy-master::numpy/core/tests/test_defc hararray.py294010112.5-06
numpy-master::numpy/core/tests/test_depr ecations.py19903000-012
numpy-master::numpy/core/tests/test_dtyp e.py53101312.702703-016
numpy-master::numpy/core/tests/test_eins um.py5730200-010
numpy-master::numpy/core/tests/test_errs tate.py290100-05
numpy-master::numpy/core/tests/test_exti nt128.py1090010.9090909-010
numpy-master::numpy/core/tests/test_func tion_base.py2170500-03
numpy-master::numpy/core/tests/test_getl imits.py560800-08
numpy-master::numpy/core/tests/test_half .py2820100-08
numpy-master::numpy/core/tests/test_inde xerrors.py440100-01
numpy-master::numpy/core/tests/test_inde xing.py59501300-012
numpy-master::numpy/core/tests/test_item _selection.py470100-05
numpy-master::numpy/core/tests/test_long double.py1670222.702703-013
numpy-master::numpy/core/tests/test_mach ar.py120100-03
numpy-master::numpy/core/tests/test_memm ap.py1280100-013
numpy-master::numpy/core/tests/test_mem_ overlap.py4860161.846154-014
numpy-master::numpy/core/tests/test_mult iarray.py454007510.4310345-046
numpy-master::numpy/core/tests/test_ndit er.py15670110.0685401-014
numpy-master::numpy/core/tests/test_nume ric.py183603700-018
numpy-master::numpy/core/tests/test_nume rictypes.py16502414-010
numpy-master::numpy/core/tests/test_over rides.py17207414.28571-010
numpy-master::numpy/core/tests/test_prin t.py5401712.06897-09
numpy-master::numpy/core/tests/test_prot ocols.py150000-09
numpy-master::numpy/core/tests/test_reco rds.py2920300-013
numpy-master::numpy/core/tests/test_regr ession.py12000100-029
numpy-master::numpy/core/tests/test_scal arbuffer.py530100-05
numpy-master::numpy/core/tests/test_scal arinherit.py4201000-03
numpy-master::numpy/core/tests/test_scal armath.py37901300-015
numpy-master::numpy/core/tests/test_scal arprint.py1160100-07
numpy-master::numpy/core/tests/test_scal ar_ctors.py440300-03
numpy-master::numpy/core/tests/test_scal ar_methods.py290100-06
numpy-master::numpy/core/tests/test_shap e_base.py3820700-09
numpy-master::numpy/core/tests/test_ufun c.py10820423.125-018
numpy-master::numpy/core/tests/test_umat h.py146804852.487562-021
numpy-master::numpy/core/tests/test_umat h_accuracy.py380100-011
numpy-master::numpy/core/tests/test_umat h_complex.py2450800-06
numpy-master::numpy/core/tests/test_unic ode.py9902500-04
numpy-master::numpy/core/tests/test__exc eptions.py230100-03
numpy-master::numpy/core/tests/_locales .py250115.555555-35
numpy-master::numpy/core/tests/__init__ .py00000-00
numpy-master::numpy/distutils/ccompiler .py32800113.244838-223
numpy-master::numpy/distutils/conv_templ ate.py1600021.234568-17
numpy-master::numpy/distutils/core.py1050010.9433962-1712
numpy-master::numpy/distutils/cpuinfo.py2820600-111
numpy-master::numpy/distutils/exec_comma nd.py1160064.918033-213
numpy-master::numpy/distutils/extension .py270100-35
numpy-master::numpy/distutils/from_templ ate.py1330021.481481-18
numpy-master::numpy/distutils/intelccomp iler.py370500-06
numpy-master::numpy/distutils/lib2def.py460048-16
numpy-master::numpy/distutils/line_endin gs.py500023.846154-07
numpy-master::numpy/distutils/log.py380100-15
numpy-master::numpy/distutils/mingw32cco mpiler.py2540173.317536-120
numpy-master::numpy/distutils/misc_util .py86102306.849315-2531
numpy-master::numpy/distutils/msvc9compi ler.py1901111.11111-14
numpy-master::numpy/distutils/msvccompil er.py1701111.11111-03
numpy-master::numpy/distutils/npy_pkg_co nfig.py1710421.538462-18
numpy-master::numpy/distutils/numpy_dist ribution.py60100-11
numpy-master::numpy/distutils/pathccompi ler.py50100-01
numpy-master::numpy/distutils/setup.py120000-02
numpy-master::numpy/distutils/system_inf o.py117808762.912621-432
numpy-master::numpy/distutils/unixccompi ler.py550023.508772-08
numpy-master::numpy/distutils/_shell_uti ls.py290300-37
numpy-master::numpy/distutils/__init__ .py150000-33
numpy-master::numpy/distutils/command/au todist.py2700618.18182-02
numpy-master::numpy/distutils/command/bd ist_rpm.py130100-05
numpy-master::numpy/distutils/command/bu ild.py140100-05
numpy-master::numpy/distutils/command/bu ild_clib.py1740100-113
numpy-master::numpy/distutils/command/bu ild_ext.py3160100-115
numpy-master::numpy/distutils/command/bu ild_py.py160100-03
numpy-master::numpy/distutils/command/bu ild_scripts.py270100-05
numpy-master::numpy/distutils/command/bu ild_src.py3990111.694915-017
numpy-master::numpy/distutils/command/co nfig.py2250200-515
numpy-master::numpy/distutils/command/co nfig_compiler.py690200-07
numpy-master::numpy/distutils/command/de velop.py40100-03
numpy-master::numpy/distutils/command/eg g_info.py90100-05
numpy-master::numpy/distutils/command/in stall.py310100-07
numpy-master::numpy/distutils/command/in stall_clib.py210100-05
numpy-master::numpy/distutils/command/in stall_data.py70100-03
numpy-master::numpy/distutils/command/in stall_headers.py170100-04
numpy-master::numpy/distutils/command/sd ist.py160100-04
numpy-master::numpy/distutils/command/__ init__.py70000-01
numpy-master::numpy/distutils/fcompiler/ absoft.py620100-07
numpy-master::numpy/distutils/fcompiler/ compaq.py230200-05
numpy-master::numpy/distutils/fcompiler/ environment.py540100-02
numpy-master::numpy/distutils/fcompiler/ g95.py100100-04
numpy-master::numpy/distutils/fcompiler/ gnu.py2580212.439024-120
numpy-master::numpy/distutils/fcompiler/ hpux.py130100-04
numpy-master::numpy/distutils/fcompiler/ ibm.py540100-011
numpy-master::numpy/distutils/fcompiler/ intel.py460700-06
numpy-master::numpy/distutils/fcompiler/ lahey.py180100-05
numpy-master::numpy/distutils/fcompiler/ mips.py240100-04
numpy-master::numpy/distutils/fcompiler/ nag.py270300-07
numpy-master::numpy/distutils/fcompiler/ none.py80100-04
numpy-master::numpy/distutils/fcompiler/ pathf95.py90100-04
numpy-master::numpy/distutils/fcompiler/ pg.py310200-06
numpy-master::numpy/distutils/fcompiler/ sun.py180100-04
numpy-master::numpy/distutils/fcompiler/ vast.py200100-07
numpy-master::numpy/distutils/fcompiler/ __init__.py4050263.030303-2117
numpy-master::numpy/distutils/tests/test _exec_command.py1170400-09
numpy-master::numpy/distutils/tests/test _fcompiler.py220000-04
numpy-master::numpy/distutils/tests/test _fcompiler_gnu.py200200-01
numpy-master::numpy/distutils/tests/test _fcompiler_intel.py120200-01
numpy-master::numpy/distutils/tests/test _fcompiler_nagfor.py70100-01
numpy-master::numpy/distutils/tests/test _from_template.py900218.18182-04
numpy-master::numpy/distutils/tests/test _mingw32ccompiler.py190015-07
numpy-master::numpy/distutils/tests/test _misc_util.py370400-04
numpy-master::numpy/distutils/tests/test _npy_pkg_config.py410200-03
numpy-master::numpy/distutils/tests/test _shell_utils.py190029.523809-07
numpy-master::numpy/distutils/tests/test _system_info.py1110525.714286-013
numpy-master::numpy/distutils/tests/__in it__.py00000-00
numpy-master::numpy/doc/basics.py00000-00
numpy-master::numpy/doc/broadcasting.py00000-00
numpy-master::numpy/doc/byteswapping.py00000-00
numpy-master::numpy/doc/constants.py230000-04
numpy-master::numpy/doc/creation.py00000-00
numpy-master::numpy/doc/dispatch.py00000-00
numpy-master::numpy/doc/glossary.py00000-00
numpy-master::numpy/doc/indexing.py00000-00
numpy-master::numpy/doc/internals.py00000-00
numpy-master::numpy/doc/misc.py00000-00
numpy-master::numpy/doc/structured_array s.py00000-00
numpy-master::numpy/doc/subclassing.py00000-00
numpy-master::numpy/doc/ufuncs.py00000-00
numpy-master::numpy/doc/__init__.py60000-04
numpy-master::numpy/f2py/auxfuncs.py3660200-16
numpy-master::numpy/f2py/capi_maps.py3250051.515152-06
numpy-master::numpy/f2py/cb_rules.py1040000-02
numpy-master::numpy/f2py/cfuncs.py1710000-05
numpy-master::numpy/f2py/common_rules.py1400000-02
numpy-master::numpy/f2py/crackfortran.py16870070.4132231-011
numpy-master::numpy/f2py/diagnose.py1020000-011
numpy-master::numpy/f2py/f2py2e.py2740031.083032-114
numpy-master::numpy/f2py/f2py_testing.py290000-05
numpy-master::numpy/f2py/f90mod_rules.py2090000-04
numpy-master::numpy/f2py/func2subr.py1750000-03
numpy-master::numpy/f2py/rules.py2210010.4504505-06
numpy-master::numpy/f2py/setup.py140000-02
numpy-master::numpy/f2py/use_rules.py330000-02
numpy-master::numpy/f2py/__init__.py400012.439024-19
numpy-master::numpy/f2py/__main__.py10000-01
numpy-master::numpy/f2py/__version__.py50000-00
numpy-master::numpy/f2py/tests/test_arra y_from_pyobj.py3390512.083333-09
numpy-master::numpy/f2py/tests/test_assu med_shape.py260200-06
numpy-master::numpy/f2py/tests/test_bloc k_docstring.py60100-00
numpy-master::numpy/f2py/tests/test_call back.py310100-06
numpy-master::numpy/f2py/tests/test_comm on.py110100-03
numpy-master::numpy/f2py/tests/test_comp ile_function.py420000-010
numpy-master::numpy/f2py/tests/test_crac kfortran.py350200-05
numpy-master::numpy/f2py/tests/test_kind .py120100-01
numpy-master::numpy/f2py/tests/test_mixe d.py110100-02
numpy-master::numpy/f2py/tests/test_para meter.py490100-02
numpy-master::numpy/f2py/tests/test_quot ed_character.py50100-00
numpy-master::numpy/f2py/tests/test_regr ession.py110100-02
numpy-master::numpy/f2py/tests/test_retu rn_character.py160300-02
numpy-master::numpy/f2py/tests/test_retu rn_complex.py370300-01
numpy-master::numpy/f2py/tests/test_retu rn_integer.py300300-01
numpy-master::numpy/f2py/tests/test_retu rn_logical.py440300-01
numpy-master::numpy/f2py/tests/test_retu rn_real.py380400-01
numpy-master::numpy/f2py/tests/test_semi colon_split.py60200-00
numpy-master::numpy/f2py/tests/test_size .py250100-03
numpy-master::numpy/f2py/tests/test_stri ng.py120100-03
numpy-master::numpy/f2py/tests/util.py1720131.986755-017
numpy-master::numpy/f2py/tests/__init__ .py00000-00
numpy-master::numpy/fft/helper.py3200411.11111-05
numpy-master::numpy/fft/setup.py100000-03
numpy-master::numpy/fft/_pocketfft.py108001411.47541-23
numpy-master::numpy/fft/__init__.py40000-00
numpy-master::numpy/fft/tests/test_helpe r.py940400-02
numpy-master::numpy/fft/tests/test_pocke tfft.py1060300-014
numpy-master::numpy/fft/tests/__init__ .py00000-00
numpy-master::numpy/lib/arraypad.py15800127.058824-111
numpy-master::numpy/lib/arraysetops.py11800107.8125-49
numpy-master::numpy/lib/arrayterator.py550100-13
numpy-master::numpy/lib/financial.py11400118.8-010
numpy-master::numpy/lib/format.py18800188.737864-013
numpy-master::numpy/lib/function_base.py74801446.068965-2119
numpy-master::numpy/lib/histograms.py19400178.056872-113
numpy-master::numpy/lib/index_tricks.py1690947.142857-1712
numpy-master::numpy/lib/mixins.py2201621.42857-12
numpy-master::numpy/lib/nanfunctions.py178002512.31527-214
numpy-master::numpy/lib/npyio.py39002184.931507-320
numpy-master::numpy/lib/polynomial.py29002105.128205-416
numpy-master::numpy/lib/recfunctions.py38200307.281553-111
numpy-master::numpy/lib/scimath.py44001322.80702-08
numpy-master::numpy/lib/setup.py80000-02
numpy-master::numpy/lib/shape_base.py19500167.582938-712
numpy-master::numpy/lib/stride_tricks.py500147.692307-77
numpy-master::numpy/lib/twodim_base.py114001612.30769-1410
numpy-master::numpy/lib/type_check.py96001311.92661-512
numpy-master::numpy/lib/ufunclike.py4100612.76596-08
numpy-master::numpy/lib/user_array.py1020100-03
numpy-master::numpy/lib/utils.py27201124.395605-917
numpy-master::numpy/lib/_datasource.py13003214.28571-212
numpy-master::numpy/lib/_iotools.py19106713.46154-25
numpy-master::numpy/lib/_version.py370100-23
numpy-master::numpy/lib/__init__.py250000-01
numpy-master::numpy/lib/tests/test_array pad.py37401224.444445-010
numpy-master::numpy/lib/tests/test_array setops.py3790200-07
numpy-master::numpy/lib/tests/test_array terator.py270000-08
numpy-master::numpy/lib/tests/test_finan cial.py1300100-06
numpy-master::numpy/lib/tests/test_forma t.py2860100-019
numpy-master::numpy/lib/tests/test_funct ion_base.py185004514-022
numpy-master::numpy/lib/tests/test_histo grams.py4330300-010
numpy-master::numpy/lib/tests/test_index _tricks.py2350800-09
numpy-master::numpy/lib/tests/test_io.py145801211.052632-031
numpy-master::numpy/lib/tests/test_mixin s.py830200-08
numpy-master::numpy/lib/tests/test_nanfu nctions.py63401013.125-013
numpy-master::numpy/lib/tests/test_packb its.py1330100-08
numpy-master::numpy/lib/tests/test_polyn omial.py1520100-06
numpy-master::numpy/lib/tests/test_recfu nctions.py4110800-07
numpy-master::numpy/lib/tests/test_regre ssion.py1220100-013
numpy-master::numpy/lib/tests/test_shape _base.py34201615.555555-011
numpy-master::numpy/lib/tests/test_strid e_tricks.py1980200-07
numpy-master::numpy/lib/tests/test_twodi m_base.py22201000-06
numpy-master::numpy/lib/tests/test_type_ check.py25601700-08
numpy-master::numpy/lib/tests/test_ufunc like.py610100-06
numpy-master::numpy/lib/tests/test_utils .py520137.5-08
numpy-master::numpy/lib/tests/test__data source.py1750612.5-015
numpy-master::numpy/lib/tests/test__ioto ols.py1870400-05
numpy-master::numpy/lib/tests/test__vers ion.py310000-02
numpy-master::numpy/lib/tests/__init__ .py00000-00
numpy-master::numpy/linalg/linalg.py46301265.316973-1514
numpy-master::numpy/linalg/setup.py150000-07
numpy-master::numpy/linalg/__init__.py30000-00
numpy-master::numpy/linalg/lapack_lite/c lapack_scrub.py1200411.098901-16
numpy-master::numpy/linalg/lapack_lite/f ortran.py4202310-04
numpy-master::numpy/linalg/lapack_lite/m ake_lite.py1900500-012
numpy-master::numpy/linalg/tests/test_bu ild.py270200-04
numpy-master::numpy/linalg/tests/test_de precations.py700112.5-04
numpy-master::numpy/linalg/tests/test_li nalg.py98205221.142857-125
numpy-master::numpy/linalg/tests/test_re gression.py790100-05
numpy-master::numpy/linalg/tests/__init_ _.py00000-00
numpy-master::numpy/ma/bench.py820000-05
numpy-master::numpy/ma/core.py16440208711.9015-2430
numpy-master::numpy/ma/extras.py36507359.915014-420
numpy-master::numpy/ma/mrecords.py2520186.557377-110
numpy-master::numpy/ma/setup.py80000-02
numpy-master::numpy/ma/testutils.py110001612.69841-37
numpy-master::numpy/ma/timer_comparison .py3020100-010
numpy-master::numpy/ma/__init__.py70000-02
numpy-master::numpy/ma/tests/test_core .py326801610.8928571-028
numpy-master::numpy/ma/tests/test_deprec ations.py320200-04
numpy-master::numpy/ma/tests/test_extras .py106101400-015
numpy-master::numpy/ma/tests/test_mrecor ds.py2860300-010
numpy-master::numpy/ma/tests/test_old_ma .py6420300-011
numpy-master::numpy/ma/tests/test_regres sion.py450100-07
numpy-master::numpy/ma/tests/test_subcla ssing.py1840600-07
numpy-master::numpy/ma/tests/__init__.py00000-00
numpy-master::numpy/matrixlib/defmatrix .py1610123.278688-1510
numpy-master::numpy/matrixlib/setup.py80000-02
numpy-master::numpy/matrixlib/__init__ .py40000-00
numpy-master::numpy/matrixlib/tests/test _defmatrix.py2720900-07
numpy-master::numpy/matrixlib/tests/test _interaction.py1830100-022
numpy-master::numpy/matrixlib/tests/test _masked_matrix.py1460400-09
numpy-master::numpy/matrixlib/tests/test _matrix_linalg.py301500-03
numpy-master::numpy/matrixlib/tests/test _multiarray.py90100-04
numpy-master::numpy/matrixlib/tests/test _numeric.py100100-05
numpy-master::numpy/matrixlib/tests/test _regression.py150100-05
numpy-master::numpy/matrixlib/tests/__in it__.py00000-00
numpy-master::numpy/polynomial/chebyshev .py223013413.49206-29
numpy-master::numpy/polynomial/hermite .py179012612.68293-110
numpy-master::numpy/polynomial/hermite_e .py176012612.87129-110
numpy-master::numpy/polynomial/laguerre .py163012513.29787-19
numpy-master::numpy/polynomial/legendre .py166012513.08901-19
numpy-master::numpy/polynomial/polynomia l.py143012213.6646-29
numpy-master::numpy/polynomial/polyutils .py148041710.30303-711
numpy-master::numpy/polynomial/setup.py70000-02
numpy-master::numpy/polynomial/_polybase .py2280100-14
numpy-master::numpy/polynomial/__init__ .py80000-00
numpy-master::numpy/polynomial/tests/tes t_chebyshev.py32401200-08
numpy-master::numpy/polynomial/tests/tes t_classes.py3650100-014
numpy-master::numpy/polynomial/tests/tes t_hermite.py29001000-08
numpy-master::numpy/polynomial/tests/tes t_hermite_e.py29001000-08
numpy-master::numpy/polynomial/tests/tes t_laguerre.py28601000-08
numpy-master::numpy/polynomial/tests/tes t_legendre.py29101000-08
numpy-master::numpy/polynomial/tests/tes t_polynomial.py3190800-08
numpy-master::numpy/polynomial/tests/tes t_polyutils.py650200-04
numpy-master::numpy/polynomial/tests/tes t_printing.py560300-08
numpy-master::numpy/polynomial/tests/__i nit__.py00000-00
numpy-master::numpy/random/setup.py390000-07
numpy-master::numpy/random/_pickle.py1600315.78947-00
numpy-master::numpy/random/__init__.py140016.666667-00
numpy-master::numpy/random/tests/test_di rect.py2560600-012
numpy-master::numpy/random/tests/test_ex tending.py500000-012
numpy-master::numpy/random/tests/test_ge nerator_mt19937.py132901000-016
numpy-master::numpy/random/tests/test_ge nerator_mt19937_regressions.py660100-07
numpy-master::numpy/random/tests/test_ra ndom.py9420900-015
numpy-master::numpy/random/tests/test_ra ndomstate.py11350900-018
numpy-master::numpy/random/tests/test_ra ndomstate_regression.py880100-09
numpy-master::numpy/random/tests/test_re gression.py640100-08
numpy-master::numpy/random/tests/test_se ed_sequence.py130017.142857-05
numpy-master::numpy/random/tests/test_sm oke.py5440600-012
numpy-master::numpy/random/tests/__init_ _.py00000-00
numpy-master::numpy/random/tests/data/__ init__.py00000-00
numpy-master::numpy/random/_examples/cff i/extending.py170000-05
numpy-master::numpy/random/_examples/cff i/parse.py220014.347826-04
numpy-master::numpy/random/_examples/cyt hon/setup.py130000-02
numpy-master::numpy/random/_examples/num ba/extending.py450000-06
numpy-master::numpy/random/_examples/num ba/extending_distributions.py190000-02
numpy-master::numpy/testing/print_coerci on_tables.py550100-04
numpy-master::numpy/testing/setup.py80000-02
numpy-master::numpy/testing/utils.py30000-01
numpy-master::numpy/testing/__init__.py70000-00
numpy-master::numpy/testing/tests/test_d ecorators.py1020200-02
numpy-master::numpy/testing/tests/test_d octesting.py500550-01
numpy-master::numpy/testing/tests/test_u tils.py88001600-020
numpy-master::numpy/testing/tests/__init __.py00000-00
numpy-master::numpy/testing/_private/dec orators.py4400916.98113-04
numpy-master::numpy/testing/_private/nos eclasses.py1150800-08
numpy-master::numpy/testing/_private/nos etester.py1470125.714286-011
numpy-master::numpy/testing/_private/par ameterized.py1600334.054054-07
numpy-master::numpy/testing/_private/uti ls.py73105395.676856-7438
numpy-master::numpy/testing/_private/__i nit__.py00000-00
numpy-master::numpy/tests/test_ctypeslib .py1680500-08
numpy-master::numpy/tests/test_matlib.py280000-010
numpy-master::numpy/tests/test_numpy_ver sion.py80000-03
numpy-master::numpy/tests/test_public_ap i.py1180075.6-010
numpy-master::numpy/tests/test_reloading .py210000-05
numpy-master::numpy/tests/test_scripts .py160000-010
numpy-master::numpy/tests/test_warnings .py370200-09
numpy-master::numpy/tests/__init__.py00000-00
numpy-master::numpy/_build_utils/apple_a ccelerate.py1600211.11111-15
numpy-master::numpy/_build_utils/__init_ _.py00000-00
numpy-master::tools/changelog.py630000-05
numpy-master::tools/commitstats.py130000-05
numpy-master::tools/cythonize.py1170000-011
numpy-master::tools/find_deprecated_esca ped_characters.py280013.448276-07
numpy-master::tools/openblas_support.py1590053.04878-016
numpy-master::tools/refguide_check.py45302153.712871-028
numpy-master::tools/allocation_tracking/ setup.py40000-02
numpy-master::tools/allocation_tracking/ track_allocations.py810100-06
numpy-master::tools/ci/push_docs_to_repo .py200000-010
numpy-master::tools/ci/test_all_newsfrag ments_used.py90000-04
numpy-master::tools/c_coverage/c_coverag e_report.py960300-011
numpy-master::tools/npy_tempita/compat3 .py190000-02
numpy-master::tools/npy_tempita/_looper .py390300-01
numpy-master::tools/npy_tempita/__init__ .py57301141.098901-012
numpy-master::tools/swig/test/setup.py100000-02
numpy-master::tools/swig/test/testarray .py1710300-09
numpy-master::tools/swig/test/testfarray .py670100-010
numpy-master::tools/swig/test/testflat .py10301300-09
numpy-master::tools/swig/test/testfortra n.py7301300-07
numpy-master::tools/swig/test/testmatrix .py17201300-08
numpy-master::tools/swig/test/testsupert ensor.py17901300-010
numpy-master::tools/swig/test/testtensor .py18301300-09
numpy-master::tools/swig/test/testvector .py17501300-08

812This group contains children groups
Project Rules  

    812
    Quality Gates  

    ok   Quality Gate Pass:    Percentage Code Coverage

    Scalar Result: N/A %

    ok   Quality Gate Pass:    Percentage Coverage on New Code

    Scalar Result: N/A %

    ok   Quality Gate Pass:    Percentage Coverage on Refactored Code

    Scalar Result: N/A %

    ok   Quality Gate Pass:    Blocker Issues

    No issue matched

    ok   Quality Gate Warn:    Critical Issues

    3 issues matched

    3 issuesSeverityDebtAnnual InterestFull Name
    Critical issue on: numpy/core/tests/test_multiarray.py0Critical01d 2h02h 0minRule violated: Files too big - critical
    Critical issue on: numpy/ma/tests/test_core.py1Critical11d 2h12h 0minRule violated: Files too big - critical
    Critical issue on: <d>numpy/<d>core/<d >tests/<f>test_regression .py/TestRegression2Critical21d 2h22h 0minRule violated: Avoid types with too many methods

    Statistics

    Stat   Severity   Debt   Annual Interest
    Sum:-3d 6h6h 0min
    Average:-1d 2h2h 0min
    Minimum:-1d 2h2h 0min
    Maximum:-1d 2h2h 0min
    Standard deviation:-0min 0s0min 0s
    Variance:-0min 0s0min 0s
    ok   Quality Gate Pass:    New Blocker / Critical / High Issues

    No issue matched

    ok   Quality Gate Fail:    Critical Rules Violated

    4 rules matched

    4 rulesissuesFull Name
    Files too big - critical32 issuesRule
    Avoid types too big237 issuesRule
    Avoid methods too big, too complex0171 issuesRule
    Avoid methods with too many parameters1103 issuesRule

    Statistics

    Stat   issues
    Sum:313
    Average:78.25
    Minimum:2
    Maximum:171
    Standard deviation:64.67
    Variance:4 183
    ok   Quality Gate Pass:    Percentage Debt

    Scalar Result: 14.4 %

    ok   Quality Gate Pass:    New Debt since Baseline

    Scalar Result: 0 man-days

    ok   Quality Gate Fail:    Debt Rating per File

    38 files matched

    38 filesdebtRatingdebtRatiodevTimeInManDaydebtInManDayissuesFull Name
    runtests.py12D1524.76193d 7h217h 52min3031 issuesruntests.py
    benchmarks/benchmarks/bench_shape_base .py13D2422.73291d 4h332h 56min2355 issuesbenchmarks/benchmarks/bench_shape_base .py
    doc/neps/tools/build_index.py10D1823.89331d 1h342h 10min3710 issuesdoc/neps/tools/build_index.py
    numpy/compat/_inspect.py11D0332.47321d 1h313h 2min3315 issuesnumpy/compat/_inspect.py
    numpy/core/arrayprint.py14D2522.48049d 0h052d 0h09118 issuesnumpy/core/arrayprint.py
    numpy/core/einsumfunc.py17D0431.47135d 5h081d 6h2259 issuesnumpy/core/einsumfunc.py
    numpy/core/fromnumeric.py18D2323.15155d 2h151d 1h07181 issuesnumpy/core/fromnumeric.py
    numpy/core/function_base.py15D0137.71281d 5h255h 3min2935 issuesnumpy/core/function_base.py
    numpy/core/machar.py16D0529.18233d 5h201d 0h2544 issuesnumpy/core/machar.py
    numpy/core/memmap.py09D0629.1301d 4h293h 33min3226 issuesnumpy/core/memmap.py
    numpy/core/records.py04D1724.41125d 7h131d 3h2160 issuesnumpy/core/records.py
    numpy/core/setup.py03D1923.82096d 4h101d 4h04237 issuesnumpy/core/setup.py
    numpy/core/code_generators/generate_nump y_api.py01D0728.62311d 2h323h 0min3613 issuesnumpy/core/code_generators/generate_nump y_api.py
    numpy/core/code_generators/generate_ufun c_api.py02D2622.09357h 29min361h 39min3513 issuesnumpy/core/code_generators/generate_ufun c_api.py
    numpy/core/tests/test_regression.py07D2821.930226d025d 6h01910 issuesnumpy/core/tests/test_regression.py
    numpy/distutils/cpuinfo.py08D2921.89058d 4h061d 7h05217 issuesnumpy/distutils/cpuinfo.py
    numpy/distutils/extension.py00E0056.82376h 2min303h 26min3415 issuesnumpy/distutils/extension.py
    numpy/distutils/command/build_clib.py05D3620.26223d 5h235h 55min3131 issuesnumpy/distutils/command/build_clib.py
    numpy/distutils/command/build_ext.py06D1127.12106d 2h091d 5h2454 issuesnumpy/distutils/command/build_ext.py
    numpy/distutils/command/config.py31D2123.57174d 5h181d 0h1968 issuesnumpy/distutils/command/config.py
    numpy/f2py/crackfortran.py32D3321.110133d016d 7h03653 issuesnumpy/f2py/crackfortran.py
    numpy/f2py/f2py2e.py29D1326.18165d 1h141d 2h1869 issuesnumpy/f2py/f2py2e.py
    numpy/f2py/rules.py30D0827.67184d 1h171d 1h1588 issuesnumpy/f2py/rules.py
    numpy/f2py/tests/test_callback.py33D3420.52366h 20min371h 18min2739 issuesnumpy/f2py/tests/test_callback.py
    numpy/f2py/tests/test_return_logical.py36D1425.17341d 0h352h 1min2641 issuesnumpy/f2py/tests/test_return_logical.py
    numpy/lib/financial.py37D2722.01262d 4h274h 26min2066 issuesnumpy/lib/financial.py
    numpy/lib/histograms.py34D1624.53203d 7h227h 42min1395 issuesnumpy/lib/histograms.py
    numpy/lib/nanfunctions.py35D0927.33213d 7h191d 0h10112 issuesnumpy/lib/nanfunctions.py
    numpy/lib/npyio.py28D1226.7068d 2h042d 1h1299 issuesnumpy/lib/npyio.py
    numpy/lib/recfunctions.py21D2223.41077d 6h071d 6h1688 issuesnumpy/lib/recfunctions.py
    numpy/lib/utils.py22D3021.59145d 3h161d 1h1772 issuesnumpy/lib/utils.py
    numpy/lib/tests/test_arraysetops.py19D3720.22087d 4h111d 4h06202 issuesnumpy/lib/tests/test_arraysetops.py
    numpy/lib/tests/test_polynomial.py20D3221.14243d 0h245h 12min11100 issuesnumpy/lib/tests/test_polynomial.py
    numpy/lib/tests/test_regression.py23D3520.29252d 6h264h 30min1491 issuesnumpy/lib/tests/test_regression.py
    numpy/ma/bench.py26D1027.25271d 6h284h 2min2836 issuesnumpy/ma/bench.py
    numpy/ma/timer_comparison.py27D2023.66116d 1h121d 3h08173 issuesnumpy/ma/timer_comparison.py
    numpy/ma/tests/test_core.py24D3121.350064d0013d 6h002 243 issuesnumpy/ma/tests/test_core.py
    numpy/ma/tests/test_old_ma.py25D0232.860312d 3h034d 0h02713 issuesnumpy/ma/tests/test_old_ma.py

    Statistics

    Stat   debtRating   debtRatio   devTimeInManDay   debtInManDay   issues
    Sum:-980.44275d64d7 172
    Average:-25.87d 1h1d 5h188.74
    Minimum:-20.226h 2min1h 18min10
    Maximum:-56.8264d13d 6h2 243
    Standard deviation:-6.4611d 3h2d 3h389.64
    Variance:-41.743 763 513d172 335d151 821
    ok   Quality Gate Pass:    New Annual Interest since Baseline

    Scalar Result: 0 man-days

    2851204This group contains children groups
    Project Rules  

      1154
      Code Smells  

      warningCritical   Critical Rule Violated:    Files too big - critical

      2 files matched

      • Formatting: bold means added, underlined means code was changed, strike-bold means removed (since baseline)
      2 files# lines of code (LOC)DebtAnnual InterestFull Name
      numpy/core/tests/test_multiarray.py04 54001d 2h02h 0minnumpy/core/tests/test_multiarray.py
      numpy/ma/tests/test_core.py13 26811d 2h12h 0minnumpy/ma/tests/test_core.py

      Statistics

      Stat   # lines of code (LOC)   Debt   Annual Interest
      Sum:7 8082d 4h4h 0min
      Average:3 9041d 2h2h 0min
      Minimum:3 2681d 2h2h 0min
      Maximum:4 5401d 2h2h 0min
      Standard deviation:6360min 0s0min 0s
      Variance:404 4960min 0s0min 0s
      warningCritical   Critical Rule Violated:    Avoid types too big

      37 types matched

      • Formatting: bold means added, underlined means code was changed, strike-bold means removed (since baseline)
      37 typeslocJustMyCodeMethodsFieldsDebtAnnual InterestFull Name
      TestRegression001 18000283 methods142 fields005h 54min001h 6min<d>numpy/<d>core/<d>tests/<f >test_regression.py/TestRegression
      TestMethods011 1330773 methods211 field015h 39min011h 3min<d>numpy/<d>core/<d>tests/<f >test_multiarray.py/TestMethods
      TestDateTime021 0270485 methods30no field025h 8min0256min<d>numpy/<d>core/<d>tests/<f >test_datetime.py/TestDateTime
      TestUfunc039700398 methods114 fields034h 51min0352min<d>numpy/<d>core/<d>tests/<f>test_ufunc .py/TestUfunc
      MaskedArray0470201105 methods0051 fields043h 30min0434min<d>numpy/<d>ma/<f>core.py/MaskedArray
      TestFromTxt056030678 methods221 field053h 0min0528min<d>numpy/<d>lib/<d>tests/<f>test_io .py/TestFromTxt
      TestMaskedArray065541254 methods231 field062h 46min0625min<d>numpy/<d>ma/<d>tests/<f>test_core .py/TestMaskedArray
      TestMaskedArrayArithmetic075451540 methods152 fields072h 43min0724min<d>numpy/<d>ma/<d>tests/<f>test_core .py/TestMaskedArrayArithmetic
      TestRandomDist0854402100 methods201 field082h 43min0824min<d>numpy/<d>random/<d>tests/<f >test_generator_mt19937 .py/TestRandomDist
      TestMa095392728 methods171 field092h 41min0924min<d>numpy/<d>ma/<d>tests/<f>test_old_ma .py/TestMa
      TestEinsum104871838 methods31no field102h 26min1020min<d>numpy/<d>core/<d>tests/<f>test_einsum .py/TestEinsum
      TestRandomDist114640582 methods191 field112h 19min1119min<d>numpy/<d>random/<d>tests/<f >test_randomstate.py/TestRandomDist
      Configuration124501937 methods0422 fields122h 15min1218min<d>numpy/<d>distutils/<f>misc_util .py/Configuration
      TestMaskedArrayMethods134432135 methods271 field132h 12min1317min<d>numpy/<d>ma/<d>tests/<f>test_core .py/TestMaskedArrayMethods
      RNG144350970 methods0710 fields142h 10min1417min<d>numpy/<d>random/<d>tests/<f >test_smoke.py/RNG
      TestMaskedArrayFunctions154242036 methods241 field152h 7min1516min<d>numpy/<d>ma/<d>tests/<f>test_core .py/TestMaskedArrayFunctions
      TestBroadcast164192432 methods251 field162h 5min1616min<d>numpy/<d>random/<d>tests/<f >test_randomstate.py/TestBroadcast
      TestBroadcast174182532 methods281 field172h 5min1716min<d>numpy/<d>random/<d>tests/<f >test_generator_mt19937.py/TestBroadcast
      TestBroadcast184022232 methods181 field182h 0min1815min<d>numpy/<d>random/<d>tests/<f >test_random.py/TestBroadcast
      TestRandomDist193570871 methods261 field191h 47min1912min<d>numpy/<d>random/<d>tests/<f >test_random.py/TestRandomDist
      TestClip203551157 methods132 fields201h 46min2012min<d>numpy/<d>core/<d>tests/<f >test_numeric.py/TestClip
      build_src213413219 methods0325 fields211h 42min2111min<d>numpy/<d>distutils/<d>command/<f >build_src.py/build_src
      TestMaskedArrayInPlaceArithmetics223342630 methods104 fields221h 40min2210min<d>numpy/<d>ma/<d>tests/<f>test_core .py/TestMaskedArrayInPlaceArithmetics
      build_ext233043610 methods0522 fields231h 31min238min<d>numpy/<d>distutils/<d>command/<f >build_ext.py/build_ext
      TestLoadTxt242951639 methods162 fields241h 28min248min<d>numpy/<d>lib/<d>tests/<f>test_io .py/TestLoadTxt
      ModuleTester252843412 methods0229 fields251h 25min257min<d>numpy/<d>ma/<f>timer_comparison .py/ModuleTester
      TestHalf262733315 methods089 fields261h 21min266min<d>numpy/<d>core/<d>tests/<f>test_half .py/TestHalf
      TestPercentile272632824 methods35no field271h 18min276min<d>numpy/<d>lib/<d>tests/<f >test_function_base.py/TestPercentile
      TestMedian282613022 methods34no field281h 18min285min<d>numpy/<d>ma/<d>tests/<f>test_extras .py/TestMedian
      TestIndexing292431343 methods36no field291h 12min294min 49s<d>numpy/<d>core/<d>tests/<f >test_indexing.py/TestIndexing
      TestHistogram302322332 methods33no field301h 9min304min 5s<d>numpy/<d>lib/<d>tests/<f >test_histograms.py/TestHistogram
      TestIO312181443 methods094 fields311h 5min313min 10s<d>numpy/<d>core/<d>tests/<f >test_multiarray.py/TestIO
      FCompiler322131738 methods0150 fields321h 3min322min 51s<d>numpy/<d>distutils/<d>fcompiler/<f >__init__.py/FCompiler
      TestSetOps332092924 methods32no field331h 2min332min 35s<d>numpy/<d>lib/<d>tests/<f >test_arraysetops.py/TestSetOps
      TestTypes352073510 methods29no field351h 2min352min 27s<d>numpy/<d>core/<d>tests/<f >test_numeric.py/TestTypes
      ABCPolyBase342071067 methods0611 fields341h 2min342min 27s<d>numpy/<d>polynomial/<f>_polybase .py/ABCPolyBase
      config362013119 methods123 fields361h 0min362min 3s<d>numpy/<d>distutils/<d>command/<f >config.py/config
      warning   Rule Violated:    Avoid types with too many methods

      65 types matched

      • Formatting: bold means added, underlined means code was changed, strike-bold means removed (since baseline)
      65 typesnbMethodsinstanceMethodsstaticMethods# lines of code (LOC)DebtAnnual InterestFull Name
      TestRegression0028300283 methods21no method001 180001d 2h002h 0min<d>numpy/<d>core/<d>tests/<f >test_regression.py/TestRegression
      MaskedArray0110501105 methods22no method04702015h 15min0157min<d>numpy/<d>ma/<f>core.py/MaskedArray
      TestRandomDist0210002100 methods23no method08544025h 0min0254min<d>numpy/<d>random/<d>tests/<f >test_generator_mt19937 .py/TestRandomDist
      TestUfunc03980398 methods20no method03970034h 54min0353min<d>numpy/<d>core/<d>tests/<f>test_ufunc .py/TestUfunc
      TestDateTime04850485 methods17no method021 027044h 15min0444min<d>numpy/<d>core/<d>tests/<f >test_datetime.py/TestDateTime
      TestRandomDist05820582 methods18no method11464054h 6min0542min<d>numpy/<d>random/<d>tests/<f >test_randomstate.py/TestRandomDist
      TestFromTxt06780678 methods19no method05603063h 54min0640min<d>numpy/<d>lib/<d>tests/<f>test_io .py/TestFromTxt
      TestMethods07730773 methods24no method011 133073h 39min0736min<d>numpy/<d>core/<d>tests/<f >test_multiarray.py/TestMethods
      TestRandomDist08710871 methods29no method19357083h 33min0835min<d>numpy/<d>random/<d>tests/<f >test_random.py/TestRandomDist
      RNG09700970 methods30no method14435093h 30min0934min<d>numpy/<d>random/<d>tests/<f >test_smoke.py/RNG
      TestSpecialMethods10681068 methods31no method39147103h 24min1033min<d>numpy/<d>core/<d>tests/<f>test_umath .py/TestSpecialMethods
      ABCPolyBase11671554 methods0013 methods27223113h 21min1132min<d>numpy/<d>polynomial/<f>_polybase .py/ABCPolyBase
      container12631163 methods28no method5487123h 9min1230min<d>numpy/<d>lib/<f>user_array .py/container
      TestClip13571257 methods25no method20355132h 51min1326min<d>numpy/<d>core/<d>tests/<f >test_numeric.py/TestClip
      chararray14551355 methods26no method5574142h 45min1424min<d>numpy/<d>core/<f>defchararray .py/chararray
      TestMaskedArray15541454 methods27no method06554152h 42min1524min<d>numpy/<d>ma/<d>tests/<f>test_core .py/TestMaskedArray
      TestVectorize16491649 methods16no method33178162h 27min1621min<d>numpy/<d>lib/<d>tests/<f >test_function_base.py/TestVectorize
      LinuxCPUInfo17451745 methods04no method5764172h 15min1718min<d>numpy/<d>distutils/<f>cpuinfo .py/LinuxCPUInfo
      TestIndexing19431943 methods05no method25243192h 9min1917min<d>numpy/<d>core/<d>tests/<f >test_indexing.py/TestIndexing
      TestIO18431843 methods06no method28218182h 9min1817min<d>numpy/<d>core/<d>tests/<f >test_multiarray.py/TestIO
      TestMaskedArrayArithmetic20402040 methods07no method07545202h 0min2015min<d>numpy/<d>ma/<d>tests/<f>test_core .py/TestMaskedArrayArithmetic
      TestLoadTxt21392139 methods01no method22295211h 57min2114min<d>numpy/<d>lib/<d>tests/<f>test_io .py/TestLoadTxt
      TestEinsum23382338 methods02no method10487231h 54min2313min<d>numpy/<d>core/<d>tests/<f>test_einsum .py/TestEinsum
      FCompiler22382238 methods03no method29213221h 54min2213min<d>numpy/<d>distutils/<d>fcompiler/<f >__init__.py/FCompiler
      Configuration24372437 methods13no method12450241h 51min2413min<d>numpy/<d>distutils/<f>misc_util .py/Configuration
      IRIXCPUInfo26362636 methods12no method6142261h 48min2612min<d>numpy/<d>distutils/<f>cpuinfo .py/IRIXCPUInfo
      TestMaskedArrayFunctions25362536 methods15no method15424251h 48min2512min<d>numpy/<d>ma/<d>tests/<f>test_core .py/TestMaskedArrayFunctions
      TestMaskedArrayMethods27352735 methods14no method13443271h 45min2711min<d>numpy/<d>ma/<d>tests/<f>test_core .py/TestMaskedArrayMethods
      TestHistogram30323032 methods09no method26232301h 36min309min<d>numpy/<d>lib/<d>tests/<f >test_histograms.py/TestHistogram
      matrix31323132 methods08no method53102311h 36min319min<d>numpy/<d>matrixlib/<f>defmatrix .py/matrix
      TestBroadcast28322832 methods11no method17418281h 36min289min<d>numpy/<d>random/<d>tests/<f >test_generator_mt19937.py/TestBroadcast
      TestBroadcast29322932 methods10no method18402291h 36min299min<d>numpy/<d>random/<d>tests/<f >test_random.py/TestBroadcast
      TestBroadcast32323232 methods32no method16419321h 36min329min<d>numpy/<d>random/<d>tests/<f >test_randomstate.py/TestBroadcast
      TestCreation35313531 methods54no method40137351h 33min359min<d>numpy/<d>core/<d>tests/<f >test_multiarray.py/TestCreation
      poly1d34313431 methods53no method52105341h 33min349min<d>numpy/<d>lib/<f>polynomial.py/poly1d
      VectorTestCase33313331 methods56no method49113331h 33min339min<d>tools/<d>swig/<d>test/<f>testvector .py/VectorTestCase
      Win32CPUInfo38303830 methods55no method5863381h 30min388min<d>numpy/<d>distutils/<f>cpuinfo .py/Win32CPUInfo
      TestRegression37303730 methods50no method44119371h 30min378min<d>numpy/<d>lib/<d>tests/<f >test_regression.py/TestRegression
      TestMaskedArrayInPlaceArithmetics36303630 methods49no method21334361h 30min368min<d>numpy/<d>ma/<d>tests/<f>test_core .py/TestMaskedArrayInPlaceArithmetics
      TestMa39283928 methods52no method09539391h 24min397min<d>numpy/<d>ma/<d>tests/<f>test_old_ma .py/TestMa
      TestDot44274427 methods51no method35173441h 21min446min<d>numpy/<d>core/<d>tests/<f >test_multiarray.py/TestDot
      TestNonarrayArgs45274527 methods62no method41126451h 21min456min<d>numpy/<d>core/<d>tests/<f >test_numeric.py/TestNonarrayArgs
      TestFinancial46274627 methods61no method46118461h 21min466min<d>numpy/<d>lib/<d>tests/<f >test_financial.py/TestFinancial
      TestNoseDecorators43274327 methods64no method5957431h 21min436min<d>numpy/<d>testing/<d>tests/<f >test_decorators.py/TestNoseDecorators
      MatrixTestCase40274027 methods63no method51110401h 21min406min<d>tools/<d>swig/<d>test/<f>testmatrix .py/MatrixTestCase
      SuperTensorTestCase41274127 methods58no method48117411h 21min416min<d>tools/<d>swig/<d>test/<f >testsupertensor.py/SuperTensorTestCase
      TensorTestCase42274227 methods57no method50110421h 21min426min<d>tools/<d>swig/<d>test/<f>testtensor .py/TensorTestCase
      TestMethods48264826 methods60no method43125481h 18min485min<d>numpy/<d>core/<d>tests/<f >test_defchararray.py/TestMethods
      TestBinop47264726 methods59no method45118471h 18min475min<d>numpy/<d>core/<d>tests/<f >test_multiarray.py/TestBinop
      TestNewBufferProtocol49254925 methods38no method32192491h 15min495min<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/TestNewBufferProtocol
      DarwinCPUInfo52245224 methods37no method6329521h 12min524min 37s<d>numpy/<d>distutils/<f>cpuinfo .py/DarwinCPUInfo
      SunOSCPUInfo53245324 methods40no method6234531h 12min534min 37s<d>numpy/<d>distutils/<f>cpuinfo .py/SunOSCPUInfo
      TestSetOps50245024 methods39no method30209501h 12min504min 37s<d>numpy/<d>lib/<d>tests/<f >test_arraysetops.py/TestSetOps
      TestPercentile51245124 methods34no method23263511h 12min514min 37s<d>numpy/<d>lib/<d>tests/<f >test_function_base.py/TestPercentile
      Core55235523 methods33no method6427551h 9min553min 58s<d>benchmarks/<d>benchmarks/<f >bench_core.py/Core
      Array2TestCase54235423 methods36no method5666541h 9min543min 58s<d>tools/<d>swig/<d>test/<f>testarray .py/Array2TestCase
      TestBlock58225822 methods35no method42125581h 6min583min 18s<d>numpy/<d>core/<d>tests/<f >test_shape_base.py/TestBlock
      TestSharedMemory57225722 methods46no method34174571h 6min573min 18s<d>numpy/<d>f2py/<d>tests/<f >test_array_from_pyobj .py/TestSharedMemory
      TestMedian56225622 methods45no method24261561h 6min563min 18s<d>numpy/<d>ma/<d>tests/<f>test_extras .py/TestMedian
      TestMemmap62216221 methods48no method47118621h 3min622min 39s<d>numpy/<d>core/<d>tests/<f>test_memmap .py/TestMemmap
      TestUFunc63216321 methods47no method36167631h 3min632min 39s<d>numpy/<d>core/<d>tests/<f >test_mem_overlap.py/TestUFunc
      TestStats64216421 methods42no method38152641h 3min642min 39s<d>numpy/<d>core/<d>tests/<f >test_multiarray.py/TestStats
      system_info59215921 methods41no method31194591h 3min592min 39s<d>numpy/<d>distutils/<f>system_info .py/system_info
      TestSaveTxt60216021 methods44no method37158601h 3min602min 39s<d>numpy/<d>lib/<d>tests/<f>test_io .py/TestSaveTxt
      TestApplyAlongAxis61216121 methods43no method6047611h 3min612min 39s<d>numpy/<d>lib/<d>tests/<f >test_shape_base.py/TestApplyAlongAxis
      warning   Rule Violated:    Avoid types with too many fields

      10 types matched

      • Formatting: bold means added, underlined means code was changed, strike-bold means removed (since baseline)
      10 typesinstanceFieldsstaticFieldsmethodsAssigningFieldsDebtAnnual InterestFull Name
      ModuleTester0029 fields03no field0136 methods001h 40min0010min<d>numpy/<d>ma/<f>timer_comparison .py/ModuleTester
      MaskedArray0128 fields04no field0065 methods011h 37min0110min<d>numpy/<d>ma/<f>core.py/MaskedArray
      recarray0226 fields02no field095 methods021h 32min029min<d>numpy/<d>core/<f>records.py/recarray
      MachAr0323 fields00no field0321 methods031h 23min037min<d>numpy/<d>core/<f>machar.py/MachAr
      finfo0422 fields01no field0714 methods041h 20min046min<d>numpy/<d>core/<f>getlimits.py/finfo
      build_src0521 fields08no field0226 methods051h 17min055min<d>numpy/<d>distutils/<d>command/<f >build_src.py/build_src
      Block0818 fields09no field0418 methods081h 8min083min 54s<d>benchmarks/<d>benchmarks/<f >bench_shape_base.py/Block
      Configuration0718 fields07no field0615 methods071h 8min073min 54s<d>numpy/<d>distutils/<f>misc_util .py/Configuration
      build_ext0618 fields05no field087 methods061h 8min063min 54s<d>numpy/<d>distutils/<d>command/<f >build_ext.py/build_ext
      MachArLike0916 fields06no field0516 methods091h 2min092min 38s<d>numpy/<d>core/<f>getlimits .py/MachArLike
      warningCritical   Critical Rule Violated:    Avoid methods too big, too complex

      171 methods matched

      171 methods# lines of code (LOC)Cyclomatic Complexity (CC)complexityScoreDebtAnnual InterestFull Name
      analyzevars(block)0002540001140002410004h 50min00040min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/analyzevars(block)
      _do_init(self,float_conv,int_conv ,float_to_float,float_to_str,title)001165001460011280012h 36min00123min<d>numpy/<d>core/<f>machar .py/MachAr/_do_init(self,float_conv ,int_conv,float_to_float,float_to_str ,title)
      analyzeline(m,case,line)004141005410021110022h 16min00220min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/analyzeline(m,case,line)
      main(argv)00612200935003960031h 58min00316min<f>runtests.py/__Globals/main(argv)
      _get_multi_index(self,arr,indices)01011100740004950041h 57min00416min<d>numpy/<d>core/<d>tests/<f >test_indexing .py/TestMultiIndexingAutomated/_get_mult i_index(self,arr,indices)
      run(self)00911200836005920051h 53min00515min<d>numpy/<d>distutils/<d>command/<f >build_ext.py/build_ext/run(self)
      build_extension(self,ext)0159400243007900071h 51min00715min<d>numpy/<d>distutils/<d>command/<f >build_ext.py/build_ext/build_extension (self,ext)
      build_a_library(self,build_info,lib_name ,libraries)0119900441006900061h 51min00615min<d>numpy/<d>distutils/<d>command/<f >build_clib .py/build_clib/build_a_library(self ,build_info,lib_name,libraries)
      vars2fortran(block,vars,args,tab='' ,as_interface=False)0169000342008870081h 47min00814min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/vars2fortran(block,vars ,args,tab='',as_interface=False)
      check_einsum_sums(self,dtype ,do_opt=False)0021610756009860091h 46min00914min<d>numpy/<d>core/<d>tests/<f>test_einsum .py/TestEinsum/check_einsum_sums(self ,dtype,do_opt=False)
      buildcallback(rout,um)0179000640010850101h 45min01014min<d>numpy/<d>f2py/<f>cb_rules .py/__Globals/buildcallback(rout,um)
      buildmodule(m,um)00512202423011840111h 44min01114min<d>numpy/<d>f2py/<f>rules .py/__Globals/buildmodule(m,um)
      run_compile()00811401726012830121h 43min01213min<d>numpy/<d>f2py/<f>f2py2e .py/__Globals/run_compile()
      test_partition(self)0031520961013770131h 35min01312min<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/TestMethods/test_partition(self)
      updatevars(typespec,selector,attrspec ,entitydecl)0247801033014720141h 29min01411min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/updatevars(typespec ,selector,attrspec,entitydecl)
      readfortrancode(ffile,dowithline=show ,istop=1)0228001130015700151h 27min01510min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/readfortrancode(ffile ,dowithline=show,istop=1)
      run()0149403022016690161h 26min01610min<d>numpy/<d>f2py/<f>diagnose .py/__Globals/run()
      buildapi(rout)0277201328018640181h 20min0189min<d>numpy/<d>f2py/<f>rules .py/__Globals/buildapi(rout)
      crackline(line,reset=0)0218002024017640171h 20min0179min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/crackline(line,reset=0)
      postcrack(block,args=None,tab='')0287201427019630191h 19min0199min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/postcrack(block,args=None ,tab='')
      main(argv)0237902723020620201h 18min0209min<d>tools/<f>refguide_check .py/__Globals/main(argv)
      assert_equal(actual,desired,err_msg='' ,verbose=True)0466201230022610221h 16min0228min<d>numpy/<d>testing/<d>_private/<f>utils .py/__Globals/assert_equal(actual ,desired,err_msg='',verbose=True)
      test_iter_buffered_cast_subarray()0071200891021610211h 16min0218min<d>numpy/<d>core/<d>tests/<f>test_nditer .py/__Globals/test_iter_buffered_cast_su barray()
      crack2fortrangen(block,tab='\n' ,as_interface=False)0366501527024590241h 14min0248min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/crack2fortrangen(block ,tab='\n',as_interface=False)
      join_by(key,r1,r2,jointype='inner' ,r1postfix='1',r2postfix='2' ,defaults=None,usemask=True ,asrecarray=False)0297102324023590231h 14min0238min<d>numpy/<d>lib/<f>recfunctions .py/__Globals/join_by(key,r1,r2 ,jointype='inner',r1postfix='1' ,r2postfix='2',defaults=None ,usemask=True,asrecarray=False)
      einsum_path(*operands,optimize='greedy' ,einsum_call=False)0208404715025570251h 12min0258min<d>numpy/<d>core/<f>einsumfunc .py/__Globals/einsum_path(*operands ,optimize='greedy',einsum_call=False)
      sign2map(a,var)0476201925026560261h 10min0267min<d>numpy/<d>f2py/<f>capi_maps .py/__Globals/sign2map(a,var)
      _lookfor_generate_cache(module ,import_modules,regenerate)0376502922029540291h 8min0297min<d>numpy/<d>lib/<f>utils .py/__Globals/_lookfor_generate_cache (module,import_modules,regenerate)
      f2py_sources(self,sources,extension)0336703221028540281h 8min0287min<d>numpy/<d>distutils/<d>command/<f >build_src.py/build_src/f2py_sources (self,sources,extension)
      buildhooks(pymod)0326903320027540271h 8min0277min<d>numpy/<d>f2py/<f>f90mod_rules .py/__Globals/buildhooks(pymod)
      cov(m,y=None,rowvar=True,bias=False ,ddof=None,fweights=None,aweights=None)0545501626030530301h 7min0307min<d>numpy/<d>lib/<f>function_base .py/__Globals/cov(m,y=None,rowvar=True ,bias=False,ddof=None,fweights=None ,aweights=None)
      __dtype_from_pep3118(stream,is_subdtype)0555502523032500321h 3min0326min<d>numpy/<d>core/<f>_internal .py/__Globals/__dtype_from_pep3118 (stream,is_subdtype)
      test_argsort(self)012980921031500311h 3min0316min<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/TestMethods/test_argsort(self)
      test_einsum_views(self)013940981033480331h 1min0336min<d>numpy/<d>core/<d>tests/<f>test_einsum .py/TestEinsum/test_einsum_views(self)
      parse_signature(sig_text,name,pos)0774501825034470341h 0min0345min<d>tools/<d>npy_tempita/<f>__init__ .py/__Globals/parse_signature(sig_text ,name,pos)
      _parse_einsum_input(operands)07146026230364603659min0365min<d>numpy/<d>core/<f>einsumfunc .py/__Globals/_parse_einsum_input (operands)
      delete(arr,obj,axis=None)05852035200354603559min0355min<d>numpy/<d>lib/<f>function_base .py/__Globals/delete(arr,obj,axis=None)
      assert_array_compare(comparison,x,y ,err_msg='',verbose=True,header='' ,precision=6,equal_nan=True ,equal_inf=True)06150036200384503857min0385min<d>numpy/<d>testing/<d>_private/<f>utils .py/__Globals/assert_array_compare (comparison,x,y,err_msg='',verbose=True ,header='',precision=6,equal_nan=True ,equal_inf=True)
      test_special_values(self)0188909410374503757min0375min<d>numpy/<d>core/<d>tests/<f >test_umath_complex .py/TestClog/test_special_values(self)
      routsign2map(rout)07346031210404404056min0405min<d>numpy/<d>f2py/<f>capi_maps .py/__Globals/routsign2map(rout)
      test_testOddFeatures(self)0198709510394403956min0395min<d>numpy/<d>ma/<d>tests/<f>test_old_ma .py/TestMa/test_testOddFeatures(self)
      getarrlen(dl,args,star='*')08142028220424304255min0424min 54s<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/getarrlen(dl,args,star='*' )
      _fit(vander_f,x,y,deg,rcond=None ,full=False,w=None)07246034200414304155min0414min 54s<d>numpy/<d>polynomial/<f>polyutils .py/__Globals/_fit(vander_f,x,y,deg ,rcond=None,full=False,w=None)
      swig_sources(self,sources,extension)05952041160454204554min0454min 40s<d>numpy/<d>distutils/<d>command/<f >build_src.py/build_src/swig_sources (self,sources,extension)
      qr(a,mode='reduced')05355050150444204454min0444min 40s<d>numpy/<d>linalg/<f>linalg .py/__Globals/qr(a,mode='reduced')
      insert(arr,obj,values,axis=None)05257054140434204354min0434min 40s<d>numpy/<d>lib/<f>function_base .py/__Globals/insert(arr,obj,values ,axis=None)
      array(obj,itemsize=None,copy=True ,unicode=None,order=None)09835021240474104753min0474min 27s<d>numpy/<d>core/<f>defchararray .py/__Globals/array(obj,itemsize=None ,copy=True,unicode=None,order=None)
      calc_info(self)05755055140464104653min0464min 27s<d>numpy/<d>distutils/<f>system_info .py/atlas_info/calc_info(self)
      cb_routsign2map(rout,um)07545037180494004951min0494min 14s<d>numpy/<d>f2py/<f>capi_maps .py/__Globals/cb_routsign2map(rout,um)
      build_project(args)06349042160484004851min0484min 14s<f>runtests.py/__Globals/build_project (args)
      __getitem__(self,key)06548043160504005051min0504min 14s<d>numpy/<d>lib/<f>index_tricks .py/nd_grid/__getitem__(self,key)
      calc_info(self)07845039170553905550min0554min 0s<d>numpy/<d>distutils/<f>system_info .py/_pkg_config_info/calc_info(self)
      get_parameters(vars,global_params={})07047040160563905650min0564min 0s<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/get_parameters(vars ,global_params={})
      check_types(config_cmd,ext,build_dir)06748051150573905750min0574min 0s<d>numpy/<d>core/<f>setup .py/__Globals/check_types(config_cmd,ext ,build_dir)
      add_data_dir(self,data_path)06449052150543905450min0544min 0s<d>numpy/<d>distutils/<f>misc_util .py/Configuration/add_data_dir(self ,data_path)
      buildhooks(m)05158071100513905150min0514min 0s<d>numpy/<d>f2py/<f>common_rules .py/__Globals/buildhooks(m)
      test_array_array()0307107640523905250min0524min 0s<d>numpy/<d>core/<d>tests/<f>test_api .py/__Globals/test_array_array()
      test_searchsorted(self)0267307830533905350min0534min 0s<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/TestMethods/test_searchsorted(self)
      trim_lex(tokens)09928022240613806149min0613min 47s<d>tools/<d>npy_tempita/<f>__init__ .py/__Globals/trim_lex(tokens)
      _link(self,body,headers,include_dirs ,libraries,library_dirs,lang)08640038180623806249min0623min 47s<d>numpy/<d>distutils/<d>command/<f >config.py/config/_link(self,body ,headers,include_dirs,libraries ,library_dirs,lang)
      _libs_with_msvc_and_fortran(self ,fcompiler,c_libraries,c_library_dirs)07945044160603806049min0603min 47s<d>numpy/<d>distutils/<d>command/<f >build_ext .py/build_ext/_libs_with_msvc_and_fortra n(self,fcompiler,c_libraries ,c_library_dirs)
      histogramdd(sample,bins=10,range=None ,normed=None,weights=None,density=None)06050058130583805849min0583min 47s<d>numpy/<d>lib/<f>histograms .py/__Globals/histogramdd(sample,bins=10 ,range=None,normed=None,weights=None ,density=None)
      test_array_astype()0257508310593805949min0593min 47s<d>numpy/<d>core/<d>tests/<f>test_api .py/__Globals/test_array_astype()
      scaninputline(inputline)07645046150653706548min0653min 33s<d>numpy/<d>f2py/<f>f2py2e .py/__Globals/scaninputline(inputline)
      __getitem__(self,key)07445049150643706448min0643min 33s<d>numpy/<d>lib/<f>index_tricks .py/AxisConcatenator/__getitem__(self ,key)
      configuration+generate_config_h(ext ,build_dir)06249060130633706348min0633min 33s<d>numpy/<d>core/<f>setup .py/__Globals/configuration+generate_con fig_h(ext,build_dir)
      check_output(self,want,got,optionflags)08740045160693606947min0693min 20s<d>tools/<f>refguide_check .py/Checker/check_output(self,want,got ,optionflags)
      nep_metadata()08043048150703607047min0703min 20s<d>doc/<d>neps/<d>tools/<f>build_index .py/__Globals/nep_metadata()
      check_like_function(self,like_function ,value,fill_value=False)06848065120713607147min0713min 20s<d>numpy/<d>core/<d>tests/<f >test_numeric .py/TestLikeFuncs/check_like_function (self,like_function,value ,fill_value=False)
      __init__(self,package_name=None ,parent_name=None,top_path=None ,package_path=None,caller_level=1 ,setup_name='setup.py',**attrs)06948062120663606647min0663min 20s<d>numpy/<d>distutils/<f>misc_util .py/Configuration/__init__(self ,package_name=None,parent_name=None ,top_path=None,package_path=None ,caller_level=1,setup_name='setup.py' ,**attrs)
      test_iter_copy_if_overlap()0426407740673606747min0673min 20s<d>numpy/<d>core/<d>tests/<f>test_nditer .py/__Globals/test_iter_copy_if_overlap( )
      test_ravel(self)0316908020683606847min0683min 20s<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/TestMethods/test_ravel(self)
      gradient(f,*varargs,axis=None ,edge_order=1)06648066110723507245min0723min 7s<d>numpy/<d>lib/<f>function_base .py/__Globals/gradient(f,*varargs ,axis=None,edge_order=1)
      test_object_array_refcounting(self)0406408120733407344min0732min 53s<d>numpy/<d>core/<d>tests/<f >test_regression .py/TestRegression/test_object_array_ref counting(self)
      __init__(self,typ,dims,intent,obj)08341059130793307943min0792min 40s<d>numpy/<d>f2py/<d>tests/<f >test_array_from_pyobj.py/Array/__init__ (self,typ,dims,intent,obj)
      test_axes_argument(self)0356509010783307843min0782min 40s<d>numpy/<d>core/<d>tests/<f>test_ufunc .py/TestUfunc/test_axes_argument(self)
      test_inplace_fancy_indexing(self)0346508610813308143min0812min 40s<d>numpy/<d>core/<d>tests/<f>test_ufunc .py/TestUfunc/test_inplace_fancy_indexin g(self)
      test_chebint(self)0436409110803308043min0802min 40s<d>numpy/<d>polynomial/<d>tests/<f >test_chebyshev .py/TestIntegral/test_chebint(self)
      test_hermint(self)0386408710753307543min0752min 40s<d>numpy/<d>polynomial/<d>tests/<f >test_hermite .py/TestIntegral/test_hermint(self)
      test_hermeint(self)0416408810743307443min0742min 40s<d>numpy/<d>polynomial/<d>tests/<f >test_hermite_e .py/TestIntegral/test_hermeint(self)
      test_lagint(self)0446409310773307743min0772min 40s<d>numpy/<d>polynomial/<d>tests/<f >test_laguerre .py/TestIntegral/test_lagint(self)
      test_legint(self)0396409710763307643min0762min 40s<d>numpy/<d>polynomial/<d>tests/<f >test_legendre .py/TestIntegral/test_legint(self)
      get_paths(self,section,key)09537053140843208442min0842min 26s<d>numpy/<d>distutils/<f>system_info .py/system_info/get_paths(self,section ,key)
      lstsq(a,b,rcond='warn')09138057130833208342min0832min 26s<d>numpy/<d>linalg/<f>linalg .py/__Globals/lstsq(a,b,rcond='warn')
      test_keepdims_argument(self)0456309910823208242min0822min 26s<d>numpy/<d>core/<d>tests/<f>test_ufunc .py/TestUfunc/test_keepdims_argument (self)
      assert_string_equal(actual,desired)09437056130883108841min0882min 13s<d>numpy/<d>testing/<d>_private/<f>utils .py/__Globals/assert_string_equal(actual ,desired)
      __new__(subtype,filename,dtype=uint8 ,mode='r+',offset=0,shape=None,order='C' )08839064120893108941min0892min 13s<d>numpy/<d>core/<f>memmap .py/memmap/__new__(subtype,filename ,dtype=uint8,mode='r+',offset=0 ,shape=None,order='C')
      setup(**attr)08939061120903109041min0902min 13s<d>numpy/<d>distutils/<f>core .py/__Globals/setup(**attr)
      histogram(a,bins=10,range=None ,normed=None,weights=None,density=None)09038063120853108541min0852min 13s<d>numpy/<d>lib/<f>histograms .py/__Globals/histogram(a,bins=10 ,range=None,normed=None,weights=None ,density=None)
      test_dot(self)0486108210863108641min0862min 13s<d>numpy/<d>ma/<d>tests/<f>test_extras .py/TestCompressFunctions/test_dot(self)
      test_polyint(self)0496108410873108741min0872min 13s<d>numpy/<d>polynomial/<d>tests/<f >test_polynomial .py/TestIntegral/test_polyint(self)
      add_extension(self,name,sources,**kw)0824207490933009740min0972min 0s<d>numpy/<d>distutils/<f>misc_util .py/Configuration/add_extension(self ,name,sources,**kw)
      test_searchsorted_with_sorter(self)0565507930923009640min0962min 0s<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/TestMethods/test_searchsorted_with_s orter(self)
      test_can_cast(self)0505808510913009940min0992min 0s<d>numpy/<d>core/<d>tests/<f >test_numeric.py/TestTypes/test_can_cast (self)
      add_data_files(self,*files)09337067110962909840min0982min 0s<d>numpy/<d>distutils/<f>misc_util .py/Configuration/add_data_files(self ,*files)
      _formatArray(a,format_function ,line_width,next_line_prefix,separator ,edge_items,summary_insert,legacy)09238070100972909540min0952min 0s<d>numpy/<d>core/<f>arrayprint .py/__Globals/_formatArray(a ,format_function,line_width ,next_line_prefix,separator,edge_items ,summary_insert,legacy)
      getlincoef(e,xset)0844107390942909240min0922min 0s<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/getlincoef(e,xset)
      who(vardict=None)0854007290952909140min0912min 0s<d>numpy/<d>lib/<f>utils .py/__Globals/who(vardict=None)
      _formatArray+recurser(index ,hanging_indent,curr_width)09636068100992809440min0942min 0s<d>numpy/<d>core/<f>arrayprint .py/__Globals/_formatArray+recurser (index,hanging_indent,curr_width)
      run_main(comline_list)09736069100982809340min0932min 0s<d>numpy/<d>f2py/<f>f2py2e .py/__Globals/run_main(comline_list)
      warningCritical   Critical Rule Violated:    Avoid methods with too many parameters

      103 methods matched

      103 methods# ParametersDebtAnnual InterestFull Name
      genfromtxt(fname,dtype=float ,comments='#',delimiter=None ,skip_header=0,skip_footer=0 ,converters=None,missing_values=None ,filling_values=None,usecols=None ,names=None,excludelist=None ,deletechars=''.join(sorted (NameValidator.defaultdeletechars)) ,replace_space='_',autostrip=False ,case_sensitive=True,defaultfmt='f%i' ,unpack=None,usemask=False,loose=True ,invalid_raise=True,max_rows=None ,encoding='bytes')000230003h 25min00059min<d>numpy/<d>lib/<f>npyio .py/__Globals/genfromtxt(fname ,dtype=float,comments='#',delimiter=None ,skip_header=0,skip_footer=0 ,converters=None,missing_values=None ,filling_values=None,usecols=None ,names=None,excludelist=None ,deletechars=''.join(sorted (NameValidator.defaultdeletechars)) ,replace_space='_',autostrip=False ,case_sensitive=True,defaultfmt='f%i' ,unpack=None,usemask=False,loose=True ,invalid_raise=True,max_rows=None ,encoding='bytes')
      __init__(self,name,sources ,include_dirs=None,define_macros=None ,undef_macros=None,library_dirs=None ,libraries=None ,runtime_library_dirs=None ,extra_objects=None ,extra_compile_args=None ,extra_link_args=None ,export_symbols=None,swig_opts=None ,depends=None,language=None ,f2py_options=None,module_dirs=None ,extra_f77_compile_args=None ,extra_f90_compile_args=None)001200012h 58min00148min<d>numpy/<d>distutils/<f>extension .py/Extension/__init__(self,name,sources ,include_dirs=None,define_macros=None ,undef_macros=None,library_dirs=None ,libraries=None ,runtime_library_dirs=None ,extra_objects=None ,extra_compile_args=None ,extra_link_args=None ,export_symbols=None,swig_opts=None ,depends=None,language=None ,f2py_options=None,module_dirs=None ,extra_f77_compile_args=None ,extra_f90_compile_args=None)
      __new__(cls,shape,dtype=None,buf=None ,offset=0,strides=None,formats=None ,names=None,titles=None,byteorder=None ,aligned=False,mask=nomask ,hard_mask=False,fill_value=None ,keep_mask=True,copy=False,**options)002160022h 21min00234min<d>numpy/<d>ma/<f>mrecords .py/MaskedRecords/__new__(cls,shape ,dtype=None,buf=None,offset=0 ,strides=None,formats=None,names=None ,titles=None,byteorder=None ,aligned=False,mask=nomask ,hard_mask=False,fill_value=None ,keep_mask=True,copy=False,**options)
      link(self,target_desc,objects ,output_filename,output_dir,libraries ,library_dirs,runtime_library_dirs ,export_symbols=None,debug=0 ,extra_preargs=None,extra_postargs=None ,build_temp=None,target_lang=None)004140042h 3min00427min<d>numpy/<d>distutils/<f >mingw32ccompiler .py/Mingw32CCompiler/link(self ,target_desc,objects,output_filename ,output_dir,libraries,library_dirs ,runtime_library_dirs ,export_symbols=None,debug=0 ,extra_preargs=None,extra_postargs=None ,build_temp=None,target_lang=None)
      link(self,target_desc,objects ,output_filename,output_dir=None ,libraries=None,library_dirs=None ,runtime_library_dirs=None ,export_symbols=None,debug=0 ,extra_preargs=None,extra_postargs=None ,build_temp=None,target_lang=None)003140032h 3min00327min<d>numpy/<d>distutils/<d>fcompiler/<f >__init__.py/FCompiler/link(self ,target_desc,objects,output_filename ,output_dir=None,libraries=None ,library_dirs=None ,runtime_library_dirs=None ,export_symbols=None,debug=0 ,extra_preargs=None,extra_postargs=None ,build_temp=None,target_lang=None)
      _array2string_dispatcher(a ,max_line_width=None,precision=None ,suppress_small=None,separator=None ,prefix=None,style=None,formatter=None ,threshold=None,edgeitems=None,sign=None ,floatmode=None,suffix=None,* ,legacy=None)006130061h 54min00623min<d>numpy/<d>core/<f>arrayprint .py/__Globals/_array2string_dispatcher(a ,max_line_width=None,precision=None ,suppress_small=None,separator=None ,prefix=None,style=None,formatter=None ,threshold=None,edgeitems=None,sign=None ,floatmode=None,suffix=None,* ,legacy=None)
      array2string(a,max_line_width=None ,precision=None,suppress_small=None ,separator='',prefix='',style=np ._NoValue,formatter=None,threshold=None ,edgeitems=None,sign=None,floatmode=None ,suffix='',*,legacy=None)005130051h 54min00523min<d>numpy/<d>core/<f>arrayprint .py/__Globals/array2string(a ,max_line_width=None,precision=None ,suppress_small=None,separator='' ,prefix='',style=np._NoValue ,formatter=None,threshold=None ,edgeitems=None,sign=None,floatmode=None ,suffix='',*,legacy=None)
      __new__(subtype,shape,dtype=None ,buf=None,offset=0,strides=None ,formats=None,names=None,titles=None ,byteorder=None,aligned=False,order='C')008120081h 45min00819min<d>numpy/<d>core/<f>records .py/recarray/__new__(subtype,shape ,dtype=None,buf=None,offset=0 ,strides=None,formats=None,names=None ,titles=None,byteorder=None ,aligned=False,order='C')
      __new__(cls,data=None,mask=nomask ,dtype=None,copy=False,subok=True ,ndmin=0,fill_value=None,keep_mask=True ,hard_mask=None,shrink=True,order=None ,**options)007120071h 45min00719min<d>numpy/<d>ma/<f>core .py/MaskedArray/__new__(cls,data=None ,mask=nomask,dtype=None,copy=False ,subok=True,ndmin=0,fill_value=None ,keep_mask=True,hard_mask=None ,shrink=True,order=None,**options)
      _make_options_dict(precision=None ,threshold=None,edgeitems=None ,linewidth=None,suppress=None ,nanstr=None,infstr=None,sign=None ,formatter=None,floatmode=None ,legacy=None)012110121h 36min01216min<d>numpy/<d>core/<f>arrayprint .py/__Globals/_make_options_dict (precision=None,threshold=None ,edgeitems=None,linewidth=None ,suppress=None,nanstr=None,infstr=None ,sign=None,formatter=None,floatmode=None ,legacy=None)
      array(obj,dtype=None,shape=None,offset=0 ,strides=None,formats=None,names=None ,titles=None,aligned=False ,byteorder=None,copy=True)013110131h 36min01316min<d>numpy/<d>core/<f>records .py/__Globals/array(obj,dtype=None ,shape=None,offset=0,strides=None ,formats=None,names=None,titles=None ,aligned=False,byteorder=None,copy=True)
      loadtxt(fname,dtype=float,comments='#' ,delimiter=None,converters=None ,skiprows=0,usecols=None,unpack=False ,ndmin=0,encoding='bytes',max_rows=None)011110111h 36min01116min<d>numpy/<d>lib/<f>npyio .py/__Globals/loadtxt(fname,dtype=float ,comments='#',delimiter=None ,converters=None,skiprows=0,usecols=None ,unpack=False,ndmin=0,encoding='bytes' ,max_rows=None)
      compare_functions_2v(func,nloop=500 ,test=True,xs=xs,nmxs=nmxs,ys=ys ,nmys=nmys,xl=xl,nmxl=nmxl,yl=yl ,nmyl=nmyl)009110091h 36min00916min<d>numpy/<d>ma/<f>bench .py/__Globals/compare_functions_2v(func ,nloop=500,test=True,xs=xs,nmxs=nmxs ,ys=ys,nmys=nmys,xl=xl,nmxl=nmxl,yl=yl ,nmyl=nmyl)
      array(data,dtype=None,copy=False ,order=None,mask=nomask,fill_value=None ,keep_mask=True,hard_mask=False ,shrink=True,subok=True,ndmin=0)010110101h 36min01016min<d>numpy/<d>ma/<f>core .py/__Globals/array(data,dtype=None ,copy=False,order=None,mask=nomask ,fill_value=None,keep_mask=True ,hard_mask=False,shrink=True,subok=True ,ndmin=0)
      set_printoptions(precision=None ,threshold=None,edgeitems=None ,linewidth=None,suppress=None ,nanstr=None,infstr=None,formatter=None ,sign=None,floatmode=None,*,legacy=None)015100151h 27min01512min<d>numpy/<d>core/<f>arrayprint .py/__Globals/set_printoptions (precision=None,threshold=None ,edgeitems=None,linewidth=None ,suppress=None,nanstr=None,infstr=None ,formatter=None,sign=None,floatmode=None ,*,legacy=None)
      fromrecords(reclist,dtype=None ,shape=None,formats=None,names=None ,titles=None,aligned=False ,byteorder=None,fill_value=None ,mask=nomask)014100141h 27min01412min<d>numpy/<d>ma/<f>mrecords .py/__Globals/fromrecords(reclist ,dtype=None,shape=None,formats=None ,names=None,titles=None,aligned=False ,byteorder=None,fill_value=None ,mask=nomask)
      formatargspec(args,varargs=None ,varkw=None,defaults=None,formatarg=str ,formatvarargs=lambdaname:'*'+name ,formatvarkw=lambdaname:'**'+name ,formatvalue=lambdavalue:'='+repr(value) ,join=joinseq)02690261h 18min0269min<d>numpy/<d>compat/<f>_inspect .py/__Globals/formatargspec(args ,varargs=None,varkw=None,defaults=None ,formatarg=str ,formatvarargs=lambdaname:'*'+name ,formatvarkw=lambdaname:'**'+name ,formatvalue=lambdavalue:'='+repr(value) ,join=joinseq)
      formatargvalues(args,varargs,varkw ,locals,formatarg=str ,formatvarargs=lambdaname:'*'+name ,formatvarkw=lambdaname:'**'+name ,formatvalue=lambdavalue:'='+repr(value) ,join=joinseq)02790271h 18min0279min<d>numpy/<d>compat/<f>_inspect .py/__Globals/formatargvalues(args ,varargs,varkw,locals,formatarg=str ,formatvarargs=lambdaname:'*'+name ,formatvarkw=lambdaname:'**'+name ,formatvalue=lambdavalue:'='+repr(value) ,join=joinseq)
      fromstring(datastring,dtype=None ,shape=None,offset=0,formats=None ,names=None,titles=None,aligned=False ,byteorder=None)02490241h 18min0249min<d>numpy/<d>core/<f>records .py/__Globals/fromstring(datastring ,dtype=None,shape=None,offset=0 ,formats=None,names=None,titles=None ,aligned=False,byteorder=None)
      fromfile(fd,dtype=None,shape=None ,offset=0,formats=None,names=None ,titles=None,aligned=False ,byteorder=None)02590251h 18min0259min<d>numpy/<d>core/<f>records .py/__Globals/fromfile(fd,dtype=None ,shape=None,offset=0,formats=None ,names=None,titles=None,aligned=False ,byteorder=None)
      CCompiler_compile(self,sources ,output_dir=None,macros=None ,include_dirs=None,debug=0 ,extra_preargs=None,extra_postargs=None ,depends=None)03090301h 18min0309min<d>numpy/<d>distutils/<f>ccompiler .py/__Globals/CCompiler_compile(self ,sources,output_dir=None,macros=None ,include_dirs=None,debug=0 ,extra_preargs=None,extra_postargs=None ,depends=None)
      check_func(self,func,headers=None ,include_dirs=None,libraries=None ,library_dirs=None,decl=False,call=False ,call_args=None)03190311h 18min0319min<d>numpy/<d>distutils/<d>command/<f >config.py/config/check_func(self,func ,headers=None,include_dirs=None ,libraries=None,library_dirs=None ,decl=False,call=False,call_args=None)
      check_funcs_once(self,funcs,headers=None ,include_dirs=None,libraries=None ,library_dirs=None,decl=False,call=False ,call_args=None)02890281h 18min0289min<d>numpy/<d>distutils/<d>command/<f >config.py/config/check_funcs_once(self ,funcs,headers=None,include_dirs=None ,libraries=None,library_dirs=None ,decl=False,call=False,call_args=None)
      _savetxt_dispatcher(fname,X,fmt=None ,delimiter=None,newline=None,header=None ,footer=None,comments=None,encoding=None )02990291h 18min0299min<d>numpy/<d>lib/<f>npyio .py/__Globals/_savetxt_dispatcher(fname ,X,fmt=None,delimiter=None,newline=None ,header=None,footer=None,comments=None ,encoding=None)
      savetxt(fname,X,fmt='%.18e',delimiter='' ,newline='\n',header='',footer='' ,comments='#',encoding=None)01890181h 18min0189min<d>numpy/<d>lib/<f>npyio .py/__Globals/savetxt(fname,X,fmt='% .18e',delimiter='',newline='\n' ,header='',footer='',comments='#' ,encoding=None)
      _join_by_dispatcher(key,r1,r2 ,jointype=None,r1postfix=None ,r2postfix=None,defaults=None ,usemask=None,asrecarray=None)01990191h 18min0199min<d>numpy/<d>lib/<f>recfunctions .py/__Globals/_join_by_dispatcher(key,r1 ,r2,jointype=None,r1postfix=None ,r2postfix=None,defaults=None ,usemask=None,asrecarray=None)
      join_by(key,r1,r2,jointype='inner' ,r1postfix='1',r2postfix='2' ,defaults=None,usemask=True ,asrecarray=False)01690161h 18min0169min<d>numpy/<d>lib/<f>recfunctions .py/__Globals/join_by(key,r1,r2 ,jointype='inner',r1postfix='1' ,r2postfix='2',defaults=None ,usemask=True,asrecarray=False)
      compare_methods(methodname,args,vars='x' ,nloop=500,test=True,xs=xs,nmxs=nmxs ,xl=xl,nmxl=nmxl)01790171h 18min0179min<d>numpy/<d>ma/<f>bench .py/__Globals/compare_methods(methodname ,args,vars='x',nloop=500,test=True,xs=xs ,nmxs=nmxs,xl=xl,nmxl=nmxl)
      fromarrays(arraylist,dtype=None ,shape=None,formats=None,names=None ,titles=None,aligned=False ,byteorder=None,fill_value=None)02290221h 18min0229min<d>numpy/<d>ma/<f>mrecords .py/__Globals/fromarrays(arraylist ,dtype=None,shape=None,formats=None ,names=None,titles=None,aligned=False ,byteorder=None,fill_value=None)
      fit(cls,x,y,deg,domain=None,rcond=None ,full=False,w=None,window=None)02390231h 18min0239min<d>numpy/<d>polynomial/<f>_polybase .py/ABCPolyBase/fit(cls,x,y,deg ,domain=None,rcond=None,full=False ,w=None,window=None)
      assert_array_compare(comparison,x,y ,err_msg='',verbose=True,header='' ,precision=6,equal_nan=True ,equal_inf=True)02090201h 18min0209min<d>numpy/<d>testing/<d>_private/<f>utils .py/__Globals/assert_array_compare (comparison,x,y,err_msg='',verbose=True ,header='',precision=6,equal_nan=True ,equal_inf=True)
      __init__(self,content,name=None ,namespace=None,stacklevel=None ,get_template=None,default_inherit=None ,line_offset=0,delimiters=None)02190211h 18min0219min<d>tools/<d>npy_tempita/<f>__init__ .py/Template/__init__(self,content ,name=None,namespace=None ,stacklevel=None,get_template=None ,default_inherit=None,line_offset=0 ,delimiters=None)
      mandelbrot_set(self,xmin,xmax,ymin,ymax ,width,height,maxiter)04380431h 9min0435min<d>benchmarks/<d>benchmarks/<f>bench_avx .py/Mandelbrot/mandelbrot_set(self,xmin ,xmax,ymin,ymax,width,height,maxiter)
      __call__(self,label='fast',verbose=1 ,extra_argv=None,doctests=False ,coverage=False,durations=-1,tests=None)04480441h 9min0445min<d>numpy/<f>_pytesttester .py/PytestTester/__call__(self ,label='fast',verbose=1,extra_argv=None ,doctests=False,coverage=False ,durations=-1,tests=None)
      _formatArray(a,format_function ,line_width,next_line_prefix,separator ,edge_items,summary_insert,legacy)04180411h 9min0415min<d>numpy/<d>core/<f>arrayprint .py/__Globals/_formatArray(a ,format_function,line_width ,next_line_prefix,separator,edge_items ,summary_insert,legacy)
      format_float_positional(x,precision=None ,unique=True,fractional=True,trim='k' ,sign=False,pad_left=None,pad_right=None )04280421h 9min0425min<d>numpy/<d>core/<f>arrayprint .py/__Globals/format_float_positional(x ,precision=None,unique=True ,fractional=True,trim='k',sign=False ,pad_left=None,pad_right=None)
      __new__(subtype,shape,itemsize=1 ,unicode=False,buffer=None,offset=0 ,strides=None,order='C')04580451h 9min0455min<d>numpy/<d>core/<f>defchararray .py/chararray/__new__(subtype,shape ,itemsize=1,unicode=False,buffer=None ,offset=0,strides=None,order='C')
      fromarrays(arrayList,dtype=None ,shape=None,formats=None,names=None ,titles=None,aligned=False ,byteorder=None)04880481h 9min0485min<d>numpy/<d>core/<f>records .py/__Globals/fromarrays(arrayList ,dtype=None,shape=None,formats=None ,names=None,titles=None,aligned=False ,byteorder=None)
      fromrecords(recList,dtype=None ,shape=None,formats=None,names=None ,titles=None,aligned=False ,byteorder=None)04980491h 9min0495min<d>numpy/<d>core/<f>records .py/__Globals/fromrecords(recList ,dtype=None,shape=None,formats=None ,names=None,titles=None,aligned=False ,byteorder=None)
      assert_deprecated(self,function,num=1 ,ignore_others=False ,function_fails=False,exceptions=np ._NoValue,args=(),kwargs={})04680461h 9min0465min<d>numpy/<d>core/<d>tests/<f >test_deprecations .py/_DeprecationTestCase/assert_deprecat ed(self,function,num=1 ,ignore_others=False ,function_fails=False,exceptions=np ._NoValue,args=(),kwargs={})
      test_structured_object_indexing(self ,shape,index,items_changed,dt,pat,count ,singleton)04780471h 9min0475min<d>numpy/<d>core/<d>tests/<f>test_dtype .py/TestStructuredObjectRefcounting/test _structured_object_indexing(self,shape ,index,items_changed,dt,pat,count ,singleton)
      _clip_type(self,type_group,array_max ,clip_min,clip_max,inplace=False ,expected_min=None,expected_max=None)03480341h 9min0345min<d>numpy/<d>core/<d>tests/<f >test_multiarray.py/TestClip/_clip_type (self,type_group,array_max,clip_min ,clip_max,inplace=False ,expected_min=None,expected_max=None)
      get_output(self,body,headers=None ,include_dirs=None,libraries=None ,library_dirs=None,lang='c',use_tee=None )03580351h 9min0355min<d>numpy/<d>distutils/<d>command/<f >config.py/config/get_output(self,body ,headers=None,include_dirs=None ,libraries=None,library_dirs=None ,lang='c',use_tee=None)
      _rate_dispatcher(nper,pmt,pv,fv ,when=None,guess=None,tol=None ,maxiter=None)03280321h 9min0325min<d>numpy/<d>lib/<f>financial .py/__Globals/_rate_dispatcher(nper,pmt ,pv,fv,when=None,guess=None,tol=None ,maxiter=None)
      rate(nper,pmt,pv,fv,when='end' ,guess=None,tol=None,maxiter=100)03380331h 9min0335min<d>numpy/<d>lib/<f>financial .py/__Globals/rate(nper,pmt,pv,fv ,when='end',guess=None,tol=None ,maxiter=100)
      __new__(self,data,mask=nomask,dtype=None ,fill_value=None,hardmask=False ,copy=False,subok=True)03680361h 9min0365min<d>numpy/<d>ma/<f>core.py/mvoid/__new__ (self,data,mask=nomask,dtype=None ,fill_value=None,hardmask=False ,copy=False,subok=True)
      _find(self,tests,obj,name,module ,source_lines,globs,seen)03980391h 9min0395min<d>numpy/<d>testing/<d>_private/<f >noseclasses.py/NumpyDocTestFinder/_find (self,tests,obj,name,module,source_lines ,globs,seen)
      __init__(self,test,optionflags=0 ,setUp=None,tearDown=None,checker=None ,obj=None,result_var='_')04080401h 9min0405min<d>numpy/<d>testing/<d>_private/<f >noseclasses .py/NumpyDocTestCase/__init__(self,test ,optionflags=0,setUp=None,tearDown=None ,checker=None,obj=None,result_var='_')
      test(self,label='fast',verbose=1 ,extra_argv=None,doctests=False ,coverage=False,raise_warnings=None ,timer=False)03780371h 9min0375min<d>numpy/<d>testing/<d>_private/<f >nosetester.py/NoseTester/test(self ,label='fast',verbose=1,extra_argv=None ,doctests=False,coverage=False ,raise_warnings=None,timer=False)
      __init__(self,template,func_name ,func_signature,body,ns,pos ,bound_self=None)03880381h 9min0385min<d>tools/<d>npy_tempita/<f>__init__ .py/TemplateDef/__init__(self,template ,func_name,func_signature,body,ns,pos ,bound_self=None)
      format_float_scientific(x,precision=None ,unique=True,trim='k',sign=False ,pad_left=None,exp_digits=None)08370831h 0min0832min 0s<d>numpy/<d>core/<f>arrayprint .py/__Globals/format_float_scientific(x ,precision=None,unique=True,trim='k' ,sign=False,pad_left=None ,exp_digits=None)
      _parse_possible_contraction(positions ,input_sets,output_set,idx_dict ,memory_limit,path_cost,naive_cost)08270821h 0min0822min 0s<d>numpy/<d>core/<f>einsumfunc .py/__Globals/_parse_possible_contractio n(positions,input_sets,output_set ,idx_dict,memory_limit,path_cost ,naive_cost)
      _sum_dispatcher(a,axis=None,dtype=None ,out=None,keepdims=None,initial=None ,where=None)08170811h 0min0812min 0s<d>numpy/<d>core/<f>fromnumeric .py/__Globals/_sum_dispatcher(a ,axis=None,dtype=None,out=None ,keepdims=None,initial=None,where=None)
      sum(a,axis=None,dtype=None,out=None ,keepdims=np._NoValue,initial=np ._NoValue,where=np._NoValue)08670861h 0min0862min 0s<d>numpy/<d>core/<f>fromnumeric .py/__Globals/sum(a,axis=None,dtype=None ,out=None,keepdims=np._NoValue ,initial=np._NoValue,where=np._NoValue)
      _prod_dispatcher(a,axis=None,dtype=None ,out=None,keepdims=None,initial=None ,where=None)08570851h 0min0852min 0s<d>numpy/<d>core/<f>fromnumeric .py/__Globals/_prod_dispatcher(a ,axis=None,dtype=None,out=None ,keepdims=None,initial=None,where=None)
      prod(a,axis=None,dtype=None,out=None ,keepdims=np._NoValue,initial=np ._NoValue,where=np._NoValue)08470841h 0min0842min 0s<d>numpy/<d>core/<f>fromnumeric .py/__Globals/prod(a,axis=None ,dtype=None,out=None,keepdims=np ._NoValue,initial=np._NoValue,where=np ._NoValue)
      _linspace_dispatcher(start,stop,num=None ,endpoint=None,retstep=None,dtype=None ,axis=None)07770771h 0min0772min 0s<d>numpy/<d>core/<f>function_base .py/__Globals/_linspace_dispatcher(start ,stop,num=None,endpoint=None ,retstep=None,dtype=None,axis=None)
      linspace(start,stop,num=50,endpoint=True ,retstep=False,dtype=None,axis=0)07670761h 0min0762min 0s<d>numpy/<d>core/<f>function_base .py/__Globals/linspace(start,stop,num=50 ,endpoint=True,retstep=False,dtype=None ,axis=0)
      _logspace_dispatcher(start,stop,num=None ,endpoint=None,base=None,dtype=None ,axis=None)07570751h 0min0752min 0s<d>numpy/<d>core/<f>function_base .py/__Globals/_logspace_dispatcher(start ,stop,num=None,endpoint=None,base=None ,dtype=None,axis=None)
      logspace(start,stop,num=50,endpoint=True ,base=10.0,dtype=None,axis=0)08070801h 0min0802min 0s<d>numpy/<d>core/<f>function_base .py/__Globals/logspace(start,stop,num=50 ,endpoint=True,base=10.0,dtype=None ,axis=0)
      __new__(subtype,filename,dtype=uint8 ,mode='r+',offset=0,shape=None,order='C' )07970791h 0min0792min 0s<d>numpy/<d>core/<f>memmap .py/memmap/__new__(subtype,filename ,dtype=uint8,mode='r+',offset=0 ,shape=None,order='C')
      busday_offset(dates,offsets,roll=None ,weekmask=None,holidays=None ,busdaycal=None,out=None)07870781h 0min0782min 0s<d>numpy/<d>core/<f>multiarray .py/__Globals/busday_offset(dates ,offsets,roll=None,weekmask=None ,holidays=None,busdaycal=None,out=None)
      _sum(a,axis=None,dtype=None,out=None ,keepdims=False,initial=_NoValue ,where=True)08770871h 0min0872min 0s<d>numpy/<d>core/<f>_methods .py/__Globals/_sum(a,axis=None ,dtype=None,out=None,keepdims=False ,initial=_NoValue,where=True)
      _prod(a,axis=None,dtype=None,out=None ,keepdims=False,initial=_NoValue ,where=True)09670961h 0min0962min 0s<d>numpy/<d>core/<f>_methods .py/__Globals/_prod(a,axis=None ,dtype=None,out=None,keepdims=False ,initial=_NoValue,where=True)
      __init__(self,name,index,annotations ,return_type,args,api_name)09570951h 0min0952min 0s<d>numpy/<d>core/<d>code_generators/<f >genapi.py/FunctionApi/__init__(self ,name,index,annotations,return_type,args ,api_name)
      __init__(self,type,f=None,in_=None ,out=None,astype=None,simd=None)09470941h 0min0942min 0s<d>numpy/<d>core/<d>code_generators/<f >generate_umath .py/TypeDescription/__init__(self,type ,f=None,in_=None,out=None,astype=None ,simd=None)
      test_structured_object_create_delete (self,dt,pat,count,singleton ,creation_func,creation_obj)09970991h 0min0992min 0s<d>numpy/<d>core/<d>tests/<f>test_dtype .py/TestStructuredObjectRefcounting/test _structured_object_create_delete(self,dt ,pat,count,singleton,creation_func ,creation_obj)
      _check_branch_cut(f,x0,dx,re_sign=1 ,im_sign=-1,sig_zero_ok=False ,dtype=complex)09870981h 0min0982min 0s<d>numpy/<d>core/<d>tests/<f>test_umath .py/__Globals/_check_branch_cut(f,x0,dx ,re_sign=1,im_sign=-1,sig_zero_ok=False ,dtype=complex)
      __init__(self,package_name=None ,parent_name=None,top_path=None ,package_path=None,caller_level=1 ,setup_name='setup.py',**attrs)09770971h 0min0972min 0s<d>numpy/<d>distutils/<f>misc_util .py/Configuration/__init__(self ,package_name=None,parent_name=None ,top_path=None,package_path=None ,caller_level=1,setup_name='setup.py' ,**attrs)
      __init__(self,name,description,version ,sections,vars,requires=None)09070901h 0min0902min 0s<d>numpy/<d>distutils/<f>npy_pkg_config .py/LibraryInfo/__init__(self,name ,description,version,sections,vars ,requires=None)
      UnixCCompiler__compile(self,obj,src,ext ,cc_args,extra_postargs,pp_opts)08970891h 0min0892min 0s<d>numpy/<d>distutils/<f>unixccompiler .py/__Globals/UnixCCompiler__compile (self,obj,src,ext,cc_args,extra_postargs ,pp_opts)
      _link(self,body,headers,include_dirs ,libraries,library_dirs,lang)08870881h 0min0882min 0s<d>numpy/<d>distutils/<d>command/<f >config.py/config/_link(self,body ,headers,include_dirs,libraries ,library_dirs,lang)
      new_fcompiler(plat=None,compiler=None ,verbose=0,dry_run=0,force=0 ,requiref90=False,c_compiler=None)09370931h 0min0932min 0s<d>numpy/<d>distutils/<d>fcompiler/<f >__init__.py/__Globals/new_fcompiler (plat=None,compiler=None,verbose=0 ,dry_run=0,force=0,requiref90=False ,c_compiler=None)
      _compile(self,obj,src,ext,cc_args ,extra_postargs,pp_opts)09270921h 0min0922min 0s<d>numpy/<d>distutils/<d>fcompiler/<f >__init__.py/FCompiler/_compile(self,obj ,src,ext,cc_args,extra_postargs,pp_opts)
      _cov_dispatcher(m,y=None,rowvar=None ,bias=None,ddof=None,fweights=None ,aweights=None)09170911h 0min0912min 0s<d>numpy/<d>lib/<f>function_base .py/__Globals/_cov_dispatcher(m,y=None ,rowvar=None,bias=None,ddof=None ,fweights=None,aweights=None)
      cov(m,y=None,rowvar=True,bias=False ,ddof=None,fweights=None,aweights=None)05870581h 0min0582min 0s<d>numpy/<d>lib/<f>function_base .py/__Globals/cov(m,y=None,rowvar=True ,bias=False,ddof=None,fweights=None ,aweights=None)
      _percentile_dispatcher(a,q,axis=None ,out=None,overwrite_input=None ,interpolation=None,keepdims=None)05770571h 0min0572min 0s<d>numpy/<d>lib/<f>function_base .py/__Globals/_percentile_dispatcher(a,q ,axis=None,out=None,overwrite_input=None ,interpolation=None,keepdims=None)
      percentile(a,q,axis=None,out=None ,overwrite_input=False ,interpolation='linear',keepdims=False)05670561h 0min0562min 0s<d>numpy/<d>lib/<f>function_base .py/__Globals/percentile(a,q,axis=None ,out=None,overwrite_input=False ,interpolation='linear',keepdims=False)
      _quantile_dispatcher(a,q,axis=None ,out=None,overwrite_input=None ,interpolation=None,keepdims=None)06170611h 0min0612min 0s<d>numpy/<d>lib/<f>function_base .py/__Globals/_quantile_dispatcher(a,q ,axis=None,out=None,overwrite_input=None ,interpolation=None,keepdims=None)
      quantile(a,q,axis=None,out=None ,overwrite_input=False ,interpolation='linear',keepdims=False)06070601h 0min0602min 0s<d>numpy/<d>lib/<f>function_base .py/__Globals/quantile(a,q,axis=None ,out=None,overwrite_input=False ,interpolation='linear',keepdims=False)
      _quantile_unchecked(a,q,axis=None ,out=None,overwrite_input=False ,interpolation='linear',keepdims=False)05970591h 0min0592min 0s<d>numpy/<d>lib/<f>function_base .py/__Globals/_quantile_unchecked(a,q ,axis=None,out=None ,overwrite_input=False ,interpolation='linear',keepdims=False)
      _quantile_ureduce_func(a,q,axis=None ,out=None,overwrite_input=False ,interpolation='linear',keepdims=False)05270521h 0min0522min 0s<d>numpy/<d>lib/<f>function_base .py/__Globals/_quantile_ureduce_func(a,q ,axis=None,out=None ,overwrite_input=False ,interpolation='linear',keepdims=False)
      __init__(self,pyfunc,otypes=None ,doc=None,excluded=None,cache=False ,signature=None)05170511h 0min0512min 0s<d>numpy/<d>lib/<f>function_base .py/vectorize/__init__(self,pyfunc ,otypes=None,doc=None,excluded=None ,cache=False,signature=None)
      _nanpercentile_dispatcher(a,q,axis=None ,out=None,overwrite_input=None ,interpolation=None,keepdims=None)05070501h 0min0502min 0s<d>numpy/<d>lib/<f>nanfunctions .py/__Globals/_nanpercentile_dispatcher (a,q,axis=None,out=None ,overwrite_input=None,interpolation=None ,keepdims=None)
      nanpercentile(a,q,axis=None,out=None ,overwrite_input=False ,interpolation='linear',keepdims=np ._NoValue)05570551h 0min0552min 0s<d>numpy/<d>lib/<f>nanfunctions .py/__Globals/nanpercentile(a,q ,axis=None,out=None ,overwrite_input=False ,interpolation='linear',keepdims=np ._NoValue)
      _nanquantile_dispatcher(a,q,axis=None ,out=None,overwrite_input=None ,interpolation=None,keepdims=None)05470541h 0min0542min 0s<d>numpy/<d>lib/<f>nanfunctions .py/__Globals/_nanquantile_dispatcher(a ,q,axis=None,out=None ,overwrite_input=None,interpolation=None ,keepdims=None)
      nanquantile(a,q,axis=None,out=None ,overwrite_input=False ,interpolation='linear',keepdims=np ._NoValue)05370531h 0min0532min 0s<d>numpy/<d>lib/<f>nanfunctions .py/__Globals/nanquantile(a,q,axis=None ,out=None,overwrite_input=False ,interpolation='linear',keepdims=np ._NoValue)
      _nanquantile_unchecked(a,q,axis=None ,out=None,overwrite_input=False ,interpolation='linear',keepdims=np ._NoValue)06270621h 0min0622min 0s<d>numpy/<d>lib/<f>nanfunctions .py/__Globals/_nanquantile_unchecked(a,q ,axis=None,out=None ,overwrite_input=False ,interpolation='linear',keepdims=np ._NoValue)
      _polyfit_dispatcher(x,y,deg,rcond=None ,full=None,w=None,cov=None)07170711h 0min0712min 0s<d>numpy/<d>lib/<f>polynomial .py/__Globals/_polyfit_dispatcher(x,y ,deg,rcond=None,full=None,w=None ,cov=None)
      polyfit(x,y,deg,rcond=None,full=False ,w=None,cov=False)07070701h 0min0702min 0s<d>numpy/<d>lib/<f>polynomial .py/__Globals/polyfit(x,y,deg,rcond=None ,full=False,w=None,cov=False)
      _append_fields_dispatcher(base,names ,data,dtypes=None,fill_value=None ,usemask=None,asrecarray=None)06970691h 0min0692min 0s<d>numpy/<d>lib/<f>recfunctions .py/__Globals/_append_fields_dispatcher (base,names,data,dtypes=None ,fill_value=None,usemask=None ,asrecarray=None)
      append_fields(base,names,data ,dtypes=None,fill_value=-1,usemask=True ,asrecarray=False)07470741h 0min0742min 0s<d>numpy/<d>lib/<f>recfunctions .py/__Globals/append_fields(base,names ,data,dtypes=None,fill_value=-1 ,usemask=True,asrecarray=False)
      _rec_join_dispatcher(key,r1,r2 ,jointype=None,r1postfix=None ,r2postfix=None,defaults=None)07370731h 0min0732min 0s<d>numpy/<d>lib/<f>recfunctions .py/__Globals/_rec_join_dispatcher(key ,r1,r2,jointype=None,r1postfix=None ,r2postfix=None,defaults=None)
      rec_join(key,r1,r2,jointype='inner' ,r1postfix='1',r2postfix='2' ,defaults=None)07270721h 0min0722min 0s<d>numpy/<d>lib/<f>recfunctions .py/__Globals/rec_join(key,r1,r2 ,jointype='inner',r1postfix='1' ,r2postfix='2',defaults=None)
      _histogram2d_dispatcher(x,y,bins=None ,range=None,normed=None,weights=None ,density=None)06570651h 0min0652min 0s<d>numpy/<d>lib/<f>twodim_base .py/__Globals/_histogram2d_dispatcher(x ,y,bins=None,range=None,normed=None ,weights=None,density=None)
      histogram2d(x,y,bins=10,range=None ,normed=None,weights=None,density=None)06470641h 0min0642min 0s<d>numpy/<d>lib/<f>twodim_base .py/__Globals/histogram2d(x,y,bins=10 ,range=None,normed=None,weights=None ,density=None)
      polyfit(x,y,deg,rcond=None,full=False ,w=None,cov=False)06370631h 0min0632min 0s<d>numpy/<d>ma/<f>extras .py/__Globals/polyfit(x,y,deg,rcond=None ,full=False,w=None,cov=False)
      assert_array_compare(comparison,x,y ,err_msg='',verbose=True,header='' ,fill_value=True)06870681h 0min0682min 0s<d>numpy/<d>ma/<f>testutils .py/__Globals/assert_array_compare (comparison,x,y,err_msg='',verbose=True ,header='',fill_value=True)
      assert_array_compare(self,comparison,x,y ,err_msg='',header='',fill_value=True)06770671h 0min0672min 0s<d>numpy/<d>ma/<f>timer_comparison .py/ModuleTester/assert_array_compare (self,comparison,x,y,err_msg='' ,header='',fill_value=True)
      _fit(vander_f,x,y,deg,rcond=None ,full=False,w=None)06670661h 0min0662min 0s<d>numpy/<d>polynomial/<f>polyutils .py/__Globals/_fit(vander_f,x,y,deg ,rcond=None,full=False,w=None)
      warning   Rule Violated:    Avoid methods with too many local variables

      86 methods matched

      • Formatting: bold means added, underlined means code was changed, strike-bold means removed (since baseline)
      86 methods# VariablesDebtAnnual InterestFull Name
      genfromtxt(fname,dtype=float ,comments='#',delimiter=None ,skip_header=0,skip_footer=0 ,converters=None,missing_values=None ,filling_values=None,usecols=None ,names=None,excludelist=None ,deletechars=''.join(sorted (NameValidator.defaultdeletechars)) ,replace_space='_',autostrip=False ,case_sensitive=True,defaultfmt='f%i' ,unpack=None,usemask=False,loose=True ,invalid_raise=True,max_rows=None ,encoding='bytes')0067005h 0min001h 36min<d>numpy/<d>lib/<f>npyio .py/__Globals/genfromtxt(fname ,dtype=float,comments='#',delimiter=None ,skip_header=0,skip_footer=0 ,converters=None,missing_values=None ,filling_values=None,usecols=None ,names=None,excludelist=None ,deletechars=''.join(sorted (NameValidator.defaultdeletechars)) ,replace_space='_',autostrip=False ,case_sensitive=True,defaultfmt='f%i' ,unpack=None,usemask=False,loose=True ,invalid_raise=True,max_rows=None ,encoding='bytes')
      einsum_path(*operands,optimize='greedy' ,einsum_call=False)0257024h 13min021h 18min<d>numpy/<d>core/<f>einsumfunc .py/__Globals/einsum_path(*operands ,optimize='greedy',einsum_call=False)
      analyzeline(m,case,line)0157014h 13min011h 18min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/analyzeline(m,case,line)
      analyzevars(block)0353033h 55min031h 10min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/analyzevars(block)
      run_compile()0447043h 27min041h 0min<d>numpy/<d>f2py/<f>f2py2e .py/__Globals/run_compile()
      _do_init(self,float_conv,int_conv ,float_to_float,float_to_str,title)0540052h 55min0547min<d>numpy/<d>core/<f>machar .py/MachAr/_do_init(self,float_conv ,int_conv,float_to_float,float_to_str ,title)
      main(argv)0736072h 36min0740min<f>runtests.py/__Globals/main(argv)
      join_by(key,r1,r2,jointype='inner' ,r1postfix='1',r2postfix='2' ,defaults=None,usemask=True ,asrecarray=False)0636062h 36min0640min<d>numpy/<d>lib/<f>recfunctions .py/__Globals/join_by(key,r1,r2 ,jointype='inner',r1postfix='1' ,r2postfix='2',defaults=None ,usemask=True,asrecarray=False)
      buildhooks(pymod)0835082h 32min0838min<d>numpy/<d>f2py/<f>f90mod_rules .py/__Globals/buildhooks(pymod)
      build_extension(self,ext)0934092h 27min0936min<d>numpy/<d>distutils/<d>command/<f >build_ext.py/build_ext/build_extension (self,ext)
      configuration(parent_package='' ,top_path=None)1132112h 18min1132min<d>numpy/<d>core/<f>setup .py/__Globals/configuration (parent_package='',top_path=None)
      build_a_library(self,build_info,lib_name ,libraries)1032102h 18min1032min<d>numpy/<d>distutils/<d>command/<f >build_clib .py/build_clib/build_a_library(self ,build_info,lib_name,libraries)
      assert_array_compare(comparison,x,y ,err_msg='',verbose=True,header='' ,precision=6,equal_nan=True ,equal_inf=True)1230122h 9min1229min<d>numpy/<d>testing/<d>_private/<f>utils .py/__Globals/assert_array_compare (comparison,x,y,err_msg='',verbose=True ,header='',precision=6,equal_nan=True ,equal_inf=True)
      run(self)1529152h 4min1527min<d>numpy/<d>distutils/<d>command/<f >build_ext.py/build_ext/run(self)
      buildmodule(m,um)1429142h 4min1427min<d>numpy/<d>f2py/<f>rules .py/__Globals/buildmodule(m,um)
      __getitem__(self,key)1329132h 4min1327min<d>numpy/<d>lib/<f>index_tricks .py/AxisConcatenator/__getitem__(self ,key)
      pad(array,pad_width,mode='constant' ,**kwargs)1728172h 0min1725min<d>numpy/<d>lib/<f>arraypad .py/__Globals/pad(array,pad_width ,mode='constant',**kwargs)
      gradient(f,*varargs,axis=None ,edge_order=1)1628162h 0min1625min<d>numpy/<d>lib/<f>function_base .py/__Globals/gradient(f,*varargs ,axis=None,edge_order=1)
      _parse_einsum_input(operands)2027201h 55min2023min<d>numpy/<d>core/<f>einsumfunc .py/__Globals/_parse_einsum_input (operands)
      do_generate_api(targets,sources)1927191h 55min1923min<d>numpy/<d>core/<d>code_generators/<f >generate_numpy_api .py/__Globals/do_generate_api(targets ,sources)
      loadtxt(fname,dtype=float,comments='#' ,delimiter=None,converters=None ,skiprows=0,usecols=None,unpack=False ,ndmin=0,encoding='bytes',max_rows=None)1827181h 55min1823min<d>numpy/<d>lib/<f>npyio .py/__Globals/loadtxt(fname,dtype=float ,comments='#',delimiter=None ,converters=None,skiprows=0,usecols=None ,unpack=False,ndmin=0,encoding='bytes' ,max_rows=None)
      einsum(*operands,out=None,optimize=False ,**kwargs)2326231h 50min2321min<d>numpy/<d>core/<f>einsumfunc .py/__Globals/einsum(*operands,out=None ,optimize=False,**kwargs)
      buildhooks(m)2226221h 50min2221min<d>numpy/<d>f2py/<f>common_rules .py/__Globals/buildhooks(m)
      histogram(a,bins=10,range=None ,normed=None,weights=None,density=None)2126211h 50min2121min<d>numpy/<d>lib/<f>histograms .py/__Globals/histogram(a,bins=10 ,range=None,normed=None,weights=None ,density=None)
      f2py_sources(self,sources,extension)2625261h 46min2620min<d>numpy/<d>distutils/<d>command/<f >build_src.py/build_src/f2py_sources (self,sources,extension)
      readfortrancode(ffile,dowithline=show ,istop=1)2525251h 46min2520min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/readfortrancode(ffile ,dowithline=show,istop=1)
      scaninputline(inputline)2425241h 46min2420min<d>numpy/<d>f2py/<f>f2py2e .py/__Globals/scaninputline(inputline)
      calc_info(self)2824281h 41min2818min<d>numpy/<d>distutils/<f>system_info .py/atlas_info/calc_info(self)
      customize(self,dist=None)2724271h 41min2718min<d>numpy/<d>distutils/<d>fcompiler/<f >__init__.py/FCompiler/customize(self ,dist=None)
      test_accelerate_framework_sgemv_fix(self )3223321h 36min3216min<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/TestDot/test_accelerate_framework_sg emv_fix(self)
      CCompiler_compile(self,sources ,output_dir=None,macros=None ,include_dirs=None,debug=0 ,extra_preargs=None,extra_postargs=None ,depends=None)3323331h 36min3316min<d>numpy/<d>distutils/<f>ccompiler .py/__Globals/CCompiler_compile(self ,sources,output_dir=None,macros=None ,include_dirs=None,debug=0 ,extra_preargs=None,extra_postargs=None ,depends=None)
      swig_sources(self,sources,extension)3123311h 36min3116min<d>numpy/<d>distutils/<d>command/<f >build_src.py/build_src/swig_sources (self,sources,extension)
      _lookfor_generate_cache(module ,import_modules,regenerate)2923291h 36min2916min<d>numpy/<d>lib/<f>utils .py/__Globals/_lookfor_generate_cache (module,import_modules,regenerate)
      assert_equal(actual,desired,err_msg='' ,verbose=True)3023301h 36min3016min<d>numpy/<d>testing/<d>_private/<f>utils .py/__Globals/assert_equal(actual ,desired,err_msg='',verbose=True)
      tensordot(a,b,axes=2)3622361h 32min3614min<d>numpy/<d>core/<f>numeric .py/__Globals/tensordot(a,b,axes=2)
      _get_multi_index(self,arr,indices)3722371h 32min3714min<d>numpy/<d>core/<d>tests/<f >test_indexing .py/TestMultiIndexingAutomated/_get_mult i_index(self,arr,indices)
      updatevars(typespec,selector,attrspec ,entitydecl)3422341h 32min3414min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/updatevars(typespec ,selector,attrspec,entitydecl)
      main(argv)3522351h 32min3514min<d>tools/<f>refguide_check .py/__Globals/main(argv)
      __dtype_from_pep3118(stream,is_subdtype)4021401h 27min4012min<d>numpy/<d>core/<f>_internal .py/__Globals/__dtype_from_pep3118 (stream,is_subdtype)
      createfuncwrapper(rout,signature=0)3921391h 27min3912min<d>numpy/<d>f2py/<f>func2subr .py/__Globals/createfuncwrapper(rout ,signature=0)
      stack_arrays(arrays,defaults=None ,usemask=True,asrecarray=False ,autoconvert=False)3821381h 27min3812min<d>numpy/<d>lib/<f>recfunctions .py/__Globals/stack_arrays(arrays ,defaults=None,usemask=True ,asrecarray=False,autoconvert=False)
      make_arrays(funcdict)4220421h 23min4211min<d>numpy/<d>core/<d>code_generators/<f >generate_umath.py/__Globals/make_arrays (funcdict)
      who(vardict=None)4120411h 23min4111min<d>numpy/<d>lib/<f>utils .py/__Globals/who(vardict=None)
      build_project(args)4919491h 18min499min<f>runtests.py/__Globals/build_project (args)
      _register_known_types()4819481h 18min489min<d>numpy/<d>core/<f>getlimits .py/__Globals/_register_known_types()
      find_functions(filename,tag='API')5019501h 18min509min<d>numpy/<d>core/<d>code_generators/<f >genapi.py/__Globals/find_functions (filename,tag='API')
      calc_info(self)5219521h 18min529min<d>numpy/<d>distutils/<f>system_info .py/lapack_src_info/calc_info(self)
      get_parameters(vars,global_params={})5119511h 18min519min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/get_parameters(vars ,global_params={})
      crack2fortrangen(block,tab='\n' ,as_interface=False)4419441h 18min449min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/crack2fortrangen(block ,tab='\n',as_interface=False)
      test_copy(self)4319431h 18min439min<d>numpy/<d>ma/<d>tests/<f>test_core .py/TestMaskedArray/test_copy(self)
      test_polyfit(self)4519451h 18min459min<d>numpy/<d>ma/<d>tests/<f>test_extras .py/TestPolynomial/test_polyfit(self)
      check_doctests_testfile(fname,verbose ,ns=None,dots=True ,doctest_warnings=False)4719471h 18min479min<d>tools/<f>refguide_check .py/__Globals/check_doctests_testfile (fname,verbose,ns=None,dots=True ,doctest_warnings=False)
      parse_signature(sig_text,name,pos)4619461h 18min469min<d>tools/<d>npy_tempita/<f>__init__ .py/__Globals/parse_signature(sig_text ,name,pos)
      do_generate_api(targets,sources)6218621h 13min627min<d>numpy/<d>core/<d>code_generators/<f >generate_ufunc_api .py/__Globals/do_generate_api(targets ,sources)
      test_partition(self)6118611h 13min617min<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/TestMethods/test_partition(self)
      test_iter_buffered_reduce_reuse()6018601h 13min607min<d>numpy/<d>core/<d>tests/<f>test_nditer .py/__Globals/test_iter_buffered_reduce_ reuse()
      test_can_ignore_signature(self)6518651h 13min657min<d>numpy/<d>core/<d>tests/<f>test_ufunc .py/TestUfunc/test_can_ignore_signature (self)
      postcrack(block,args=None,tab='')6418641h 13min647min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/postcrack(block,args=None ,tab='')
      createsubrwrapper(rout,signature=0)6318631h 13min637min<d>numpy/<d>f2py/<f>func2subr .py/__Globals/createsubrwrapper(rout ,signature=0)
      histogramdd(sample,bins=10,range=None ,normed=None,weights=None,density=None)5918591h 13min597min<d>numpy/<d>lib/<f>histograms .py/__Globals/histogramdd(sample,bins=10 ,range=None,normed=None,weights=None ,density=None)
      lookfor(what,module=None ,import_modules=True,regenerate=False ,output=None)5518551h 13min557min<d>numpy/<d>lib/<f>utils .py/__Globals/lookfor(what,module=None ,import_modules=True,regenerate=False ,output=None)
      test_unique_1d(self)5418541h 13min547min<d>numpy/<d>lib/<d>tests/<f >test_arraysetops .py/TestUnique/test_unique_1d(self)
      test_polyfit(self)5318531h 13min537min<d>numpy/<d>lib/<d>tests/<f >test_polynomial .py/TestPolynomial/test_polyfit(self)
      lstsq(a,b,rcond='warn')5818581h 13min587min<d>numpy/<d>linalg/<f>linalg .py/__Globals/lstsq(a,b,rcond='warn')
      apply_along_axis(func1d,axis,arr,*args ,**kwargs)5718571h 13min577min<d>numpy/<d>ma/<f>extras .py/__Globals/apply_along_axis(func1d ,axis,arr,*args,**kwargs)
      test_testAverage2(self)5618561h 13min567min<d>numpy/<d>ma/<d>tests/<f>test_old_ma .py/TestMa/test_testAverage2(self)
      _optimal_path(input_sets,output_set ,idx_dict,memory_limit)7217721h 9min725min<d>numpy/<d>core/<f>einsumfunc .py/__Globals/_optimal_path(input_sets ,output_set,idx_dict,memory_limit)
      test_diophantine_fuzz()7117711h 9min715min<d>numpy/<d>core/<d>tests/<f >test_mem_overlap .py/__Globals/test_diophantine_fuzz()
      check_unary_fuzz(self,operation ,get_out_axis_size,dtype=np.int16 ,count=5000)7317731h 9min735min<d>numpy/<d>core/<d>tests/<f >test_mem_overlap .py/TestUFunc/check_unary_fuzz(self ,operation,get_out_axis_size,dtype=np .int16,count=5000)
      test_swapaxes(self)7517751h 9min755min<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/TestMethods/test_swapaxes(self)
      test_float_modulus_exact(self)7417741h 9min745min<d>numpy/<d>core/<d>tests/<f >test_scalarmath .py/TestModulus/test_float_modulus_exact (self)
      test_float_remainder_exact(self)6717671h 9min675min<d>numpy/<d>core/<d>tests/<f>test_umath .py/TestRemainder/test_float_remainder_e xact(self)
      parse_loop_header(loophead)6617661h 9min665min<d>numpy/<d>distutils/<f>conv_template .py/__Globals/parse_loop_header(loophead )
      parse_string(astr,env,level,line)6817681h 9min685min<d>numpy/<d>distutils/<f>conv_template .py/__Globals/parse_string(astr,env ,level,line)
      buildapi(rout)7017701h 9min705min<d>numpy/<d>f2py/<f>rules .py/__Globals/buildapi(rout)
      test_dot(self)6917691h 9min695min<d>numpy/<d>ma/<d>tests/<f>test_core .py/TestMaskedArrayMathMethods/test_dot (self)
      nep_metadata()8216821h 4min823min 48s<d>doc/<d>neps/<d>tools/<f>build_index .py/__Globals/nep_metadata()
      fillFormat(self,data)8116811h 4min813min 48s<d>numpy/<d>core/<f>arrayprint .py/FloatingFormat/fillFormat(self,data)
      __new__(subtype,filename,dtype=uint8 ,mode='r+',offset=0,shape=None,order='C' )8316831h 4min833min 48s<d>numpy/<d>core/<f>memmap .py/memmap/__new__(subtype,filename ,dtype=uint8,mode='r+',offset=0 ,shape=None,order='C')
      test_array_array()8516851h 4min853min 48s<d>numpy/<d>core/<d>tests/<f>test_api .py/__Globals/test_array_array()
      test_matrix_matrix_values(self)8416841h 4min843min 48s<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/MatmulCommon/test_matrix_matrix_valu es(self)
      test_ufunc_override_mro(self)7716771h 4min773min 48s<d>numpy/<d>core/<d>tests/<f>test_umath .py/TestSpecialMethods/test_ufunc_overri de_mro(self)
      info(object=None,maxwidth=76,output=sys .stdout,toplevel='numpy')7616761h 4min763min 48s<d>numpy/<d>lib/<f>utils .py/__Globals/info(object=None ,maxwidth=76,output=sys.stdout ,toplevel='numpy')
      test_structured_to_unstructured(self)7816781h 4min783min 48s<d>numpy/<d>lib/<d>tests/<f >test_recfunctions .py/TestRecFunctions/test_structured_to_ unstructured(self)
      qr(a,mode='reduced')8016801h 4min803min 48s<d>numpy/<d>linalg/<f>linalg .py/__Globals/qr(a,mode='reduced')
      fill_command(args=None)7916791h 4min793min 48s<d>tools/<d>npy_tempita/<f>__init__ .py/__Globals/fill_command(args=None)
      warning   Rule Violated:    Avoid methods potentially poorly commented

      538 methods matched

      538 methodsPercentage Comment# lines of code (LOC)# lines of commentnbLinesOfCodeNotCommentedDebtAnnual InterestFull Name
      analyzevars(block)0390000254037000025400020min02016min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/analyzevars(block)
      _do_init(self,float_conv,int_conv ,float_to_float,float_to_str,title)0350001165027000116500116min02816min<d>numpy/<d>core/<f>machar .py/MachAr/_do_init(self,float_conv ,int_conv,float_to_float,float_to_str ,title)
      check_einsum_sums(self,dtype ,do_opt=False)0330002161029000216100216min02716min<d>numpy/<d>core/<d>tests/<f>test_einsum .py/TestEinsum/check_einsum_sums(self ,dtype,do_opt=False)
      test_partition(self)0320003152028000315200315min02916min<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/TestMethods/test_partition(self)
      analyzeline(m,case,line)0310004141040000414100414min03116min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/analyzeline(m,case,line)
      main(argv)0410006122055000512200512min03016min<f>runtests.py/__Globals/main(argv)
      buildmodule(m,um)0250.81005122021100612100612min07415min<d>numpy/<d>f2py/<f>rules .py/__Globals/buildmodule(m,um)
      test_iter_buffered_cast_subarray()0560007120053000712000712min02316min<d>numpy/<d>core/<d>tests/<f>test_nditer .py/__Globals/test_iter_buffered_cast_su barray()
      run_compile()0240.87008114025100811300811min07515min<d>numpy/<d>f2py/<f>f2py2e .py/__Globals/run_compile()
      run(self)0540009112054000911200911min02216min<d>numpy/<d>distutils/<d>command/<f >build_ext.py/build_ext/run(self)
      _get_multi_index(self,arr,indices)0230.89010111020101011001011min07615min<d>numpy/<d>core/<d>tests/<f >test_indexing .py/TestMultiIndexingAutomated/_get_mult i_index(self,arr,indices)
      build_a_library(self,build_info,lib_name ,libraries)0490011990410011990119min02416min<d>numpy/<d>distutils/<d>command/<f >build_clib .py/build_clib/build_a_library(self ,build_info,lib_name,libraries)
      test_argsort(self)0440012980460012980129min02616min<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/TestMethods/test_argsort(self)
      test_einsum_views(self)0430015940450015940159min02516min<d>numpy/<d>core/<d>tests/<f>test_einsum .py/TestEinsum/test_einsum_views(self)
      build_extension(self,ext)0480014940480014940149min03216min<d>numpy/<d>distutils/<d>command/<f >build_ext.py/build_ext/build_extension (self,ext)
      run()0460013940470013940139min03916min<d>numpy/<d>f2py/<f>diagnose .py/__Globals/run()
      buildcallback(rout,um)0470017900420016900169min03816min<d>numpy/<d>f2py/<f>cb_rules .py/__Globals/buildcallback(rout,um)
      test_special_values(self)0450018890440018890188min04016min<d>numpy/<d>core/<d>tests/<f >test_umath_complex .py/TestClog/test_special_values(self)
      vars2fortran(block,vars,args,tab='' ,as_interface=False)0221.1016900041017890178min07715min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/vars2fortran(block,vars ,args,tab='',as_interface=False)
      test_testOddFeatures(self)0420019870430019870198min04216min<d>numpy/<d>ma/<d>tests/<f>test_old_ma .py/TestMa/test_testOddFeatures(self)
      einsum_path(*operands,optimize='greedy' ,einsum_call=False)0211.18020840071020830208min07815min<d>numpy/<d>core/<f>einsumfunc .py/__Globals/einsum_path(*operands ,optimize='greedy',einsum_call=False)
      readfortrancode(ffile,dowithline=show ,istop=1)0191.23022800061022790227min08015min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/readfortrancode(ffile ,dowithline=show,istop=1)
      crackline(line,reset=0)0201.23021800031021790217min07915min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/crackline(line,reset=0)
      updatevars(typespec,selector,attrspec ,entitydecl)0550024780560024780247min04116min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/updatevars(typespec ,selector,attrspec,entitydecl)
      main(argv)0181.25023790081023780237min08115min<d>tools/<f>refguide_check .py/__Globals/main(argv)
      test_array_astype()0530025750500025750257min03416min<d>numpy/<d>core/<d>tests/<f>test_api .py/__Globals/test_array_astype()
      test_searchsorted(self)0500026730490026730267min03316min<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/TestMethods/test_searchsorted(self)
      buildapi(rout)0510028720520027720277min03516min<d>numpy/<d>f2py/<f>rules .py/__Globals/buildapi(rout)
      test_array_array()0520030710510029710297min03716min<d>numpy/<d>core/<d>tests/<f>test_api .py/__Globals/test_array_array()
      postcrack(block,args=None,tab='')0171.37027720131028710287min08215min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/postcrack(block,args=None ,tab='')
      join_by(key,r1,r2,jointype='inner' ,r1postfix='1',r2postfix='2' ,defaults=None,usemask=True ,asrecarray=False)0161.39029710101030700307min08315min<d>numpy/<d>lib/<f>recfunctions .py/__Globals/join_by(key,r1,r2 ,jointype='inner',r1postfix='1' ,r2postfix='2',defaults=None ,usemask=True,asrecarray=False)
      test_ravel(self)0290032690300032690326min03616min<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/TestMethods/test_ravel(self)
      buildhooks(pymod)0260031690310031690316min02116min<d>numpy/<d>f2py/<f>f90mod_rules .py/__Globals/buildhooks(pymod)
      f2py_sources(self,sources,extension)0270033670260033670336min00616min<d>numpy/<d>distutils/<d>command/<f >build_src.py/build_src/f2py_sources (self,sources,extension)
      test_axes_argument(self)0380036650390036650366min00516min<d>numpy/<d>core/<d>tests/<f>test_ufunc .py/TestUfunc/test_axes_argument(self)
      test_inplace_fancy_indexing(self)0400037650380035650356min00716min<d>numpy/<d>core/<d>tests/<f>test_ufunc .py/TestUfunc/test_inplace_fancy_indexin g(self)
      crack2fortrangen(block,tab='\n' ,as_interface=False)0370034650330034650346min00916min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/crack2fortrangen(block ,tab='\n',as_interface=False)
      test_iter_copy_if_overlap()0340042640320042640426min00816min<d>numpy/<d>core/<d>tests/<f>test_nditer .py/__Globals/test_iter_copy_if_overlap( )
      test_object_array_refcounting(self)0360043640350041640416min00116min<d>numpy/<d>core/<d>tests/<f >test_regression .py/TestRegression/test_object_array_ref counting(self)
      _lookfor_generate_cache(module ,import_modules,regenerate)0151.52035650111044640446min08414min<d>numpy/<d>lib/<f>utils .py/__Globals/_lookfor_generate_cache (module,import_modules,regenerate)
      test_chebint(self)0280044640340043640436min00016min<d>numpy/<d>polynomial/<d>tests/<f >test_chebyshev .py/TestIntegral/test_chebint(self)
      test_hermint(self)0300041640360038640386min00216min<d>numpy/<d>polynomial/<d>tests/<f >test_hermite .py/TestIntegral/test_hermint(self)
      test_hermeint(self)0570038640570037640376min00416min<d>numpy/<d>polynomial/<d>tests/<f >test_hermite_e .py/TestIntegral/test_hermeint(self)
      test_lagint(self)0850040640850040640406min00316min<d>numpy/<d>polynomial/<d>tests/<f >test_laguerre .py/TestIntegral/test_lagint(self)
      test_legint(self)0840039640840039640396min01016min<d>numpy/<d>polynomial/<d>tests/<f >test_legendre .py/TestIntegral/test_legint(self)
      test_keepdims_argument(self)0860045630860045630456min01716min<d>numpy/<d>core/<d>tests/<f>test_ufunc .py/TestUfunc/test_keepdims_argument (self)
      sign2map(a,var)0131.59047620121048610486min08514min<d>numpy/<d>f2py/<f>capi_maps .py/__Globals/sign2map(a,var)
      test_dot(self)0880049610880049610496min01616min<d>numpy/<d>ma/<d>tests/<f>test_extras .py/TestCompressFunctions/test_dot(self)
      test_polyint(self)0870048610870046610466min01816min<d>numpy/<d>polynomial/<d>tests/<f >test_polynomial .py/TestIntegral/test_polyint(self)
      assert_equal(actual,desired,err_msg='' ,verbose=True)0141.59046620241047610476min08614min<d>numpy/<d>testing/<d>_private/<f>utils .py/__Globals/assert_equal(actual ,desired,err_msg='',verbose=True)
      test_can_cast(self)0790051580790051580515min01916min<d>numpy/<d>core/<d>tests/<f >test_numeric.py/TestTypes/test_can_cast (self)
      buildhooks(m)0810050580810050580505min01216min<d>numpy/<d>f2py/<f>common_rules .py/__Globals/buildhooks(m)
      insert(arr,obj,values,axis=None)0121.72052570091052560525min08714min<d>numpy/<d>lib/<f>function_base .py/__Globals/insert(arr,obj,values ,axis=None)
      __dtype_from_pep3118(stream,is_subdtype)0830056550830055550555min01116min<d>numpy/<d>core/<f>_internal .py/__Globals/__dtype_from_pep3118 (stream,is_subdtype)
      test_searchsorted_with_sorter(self)0820057550820056550565min01316min<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/TestMethods/test_searchsorted_with_s orter(self)
      calc_info(self)0890058550890053550535min01516min<d>numpy/<d>distutils/<f>system_info .py/atlas_info/calc_info(self)
      test_copy(self)0960053550960054550545min01416min<d>numpy/<d>ma/<d>tests/<f>test_core .py/TestMaskedArray/test_copy(self)
      cov(m,y=None,rowvar=True,bias=False ,ddof=None,fweights=None,aweights=None)0111.79054550151058540585min08814min<d>numpy/<d>lib/<f>function_base .py/__Globals/cov(m,y=None,rowvar=True ,bias=False,ddof=None,fweights=None ,aweights=None)
      qr(a,mode='reduced')0101.79055550161057540575min08914min<d>numpy/<d>linalg/<f>linalg .py/__Globals/qr(a,mode='reduced')
      test_partition_iterative(self)0950059530950059530595min06416min<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/TestMethods/test_partition_iterative (self)
      test_fromfile_complex(self)0970062520970061520615min06716min<d>numpy/<d>core/<d>tests/<f >test_longdouble .py/TestFileBased/test_fromfile_complex (self)
      swig_sources(self,sources,extension)0990061520990060520605min06116min<d>numpy/<d>distutils/<d>command/<f >build_src.py/build_src/swig_sources (self,sources,extension)
      do_generate_api(targets,sources)0980064510980064510645min06016min<d>numpy/<d>core/<d>code_generators/<f >generate_numpy_api .py/__Globals/do_generate_api(targets ,sources)
      test_iter_buffered_cast_structured_type( )0910063510910063510635min06316min<d>numpy/<d>core/<d>tests/<f>test_nditer .py/__Globals/test_iter_buffered_cast_st ructured_type()
      delete(arr,obj,axis=None)0091.89060520141062510625min09014min<d>numpy/<d>lib/<f>function_base .py/__Globals/delete(arr,obj,axis=None)
      assert_array_compare(comparison,x,y ,err_msg='',verbose=True,header='' ,precision=6,equal_nan=True ,equal_inf=True)0900067500900065500655min07316min<d>numpy/<d>testing/<d>_private/<f>utils .py/__Globals/assert_array_compare (comparison,x,y,err_msg='',verbose=True ,header='',precision=6,equal_nan=True ,equal_inf=True)
      configuration+generate_config_h(ext ,build_dir)0920070490920068490684min 54s06916min<d>numpy/<d>core/<f>setup .py/__Globals/configuration+generate_con fig_h(ext,build_dir)
      test_half_ufuncs(self)0071.96065500021069490694min 54s09114min<d>numpy/<d>core/<d>tests/<f>test_half .py/TestHalf/test_half_ufuncs(self)
      check_promotion_cases(self,promote_func)0940071490940066490664min 54s06816min<d>numpy/<d>core/<d>tests/<f >test_numeric .py/TestTypes/check_promotion_cases(self ,promote_func)
      histogramdd(sample,bins=10,range=None ,normed=None,weights=None,density=None)0081.96066500001067490674min 54s09214min<d>numpy/<d>lib/<f>histograms .py/__Globals/histogramdd(sample,bins=10 ,range=None,normed=None,weights=None ,density=None)
      build_project(args)0062068490011076480764min 48s09414min<f>runtests.py/__Globals/build_project (args)
      check_types(config_cmd,ext,build_dir)0930078480930075480754min 48s05916min<d>numpy/<d>core/<f>setup .py/__Globals/check_types(config_cmd,ext ,build_dir)
      test_timedelta_scalar_construction(self)0640077480640077480774min 48s04816min<d>numpy/<d>core/<d>tests/<f >test_datetime .py/TestDateTime/test_timedelta_scalar_c onstruction(self)
      test_half_fpe(self)0630079480630079480794min 48s04716min<d>numpy/<d>core/<d>tests/<f>test_half .py/TestHalf/test_half_fpe(self)
      check_like_function(self,like_function ,value,fill_value=False)0650080480650078480784min 48s05016min<d>numpy/<d>core/<d>tests/<f >test_numeric .py/TestLikeFuncs/check_like_function (self,like_function,value ,fill_value=False)
      test_dragon4(self)0670081480670071480714min 48s04916min<d>numpy/<d>core/<d>tests/<f >test_scalarprint .py/TestRealScalars/test_dragon4(self)
      add_data_dir(self,data_path)0052069490051070480704min 48s09314min<d>numpy/<d>distutils/<f>misc_util .py/Configuration/add_data_dir(self ,data_path)
      __getitem__(self,key)0660072480660072480724min 48s04316min<d>numpy/<d>lib/<f>index_tricks .py/nd_grid/__getitem__(self,key)
      test_hardmask(self)0590074480590074480744min 48s04616min<d>numpy/<d>ma/<d>tests/<f>test_core .py/TestMaskedArrayAttributes/test_hardm ask(self)
      test_testAverage2(self)0580073480580073480734min 48s04516min<d>numpy/<d>ma/<d>tests/<f>test_old_ma .py/TestMa/test_testAverage2(self)
      test_string_parser_error_check(self)0600082470600083470834min 42s07016min<d>numpy/<d>core/<d>tests/<f >test_datetime .py/TestDateTime/test_string_parser_erro r_check(self)
      test_subarray_comparison(self)0620084470620084470844min 42s05616min<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/TestStructured/test_subarray_compari son(self)
      __init__(self,package_name=None ,parent_name=None,top_path=None ,package_path=None,caller_level=1 ,setup_name='setup.py',**attrs)0042.04076480171082470824min 42s09614min<d>numpy/<d>distutils/<f>misc_util .py/Configuration/__init__(self ,package_name=None,parent_name=None ,top_path=None,package_path=None ,caller_level=1,setup_name='setup.py' ,**attrs)
      get_parameters(vars,global_params={})0610083470610080470804min 42s05816min<d>numpy/<d>f2py/<f>crackfortran .py/__Globals/get_parameters(vars ,global_params={})
      gradient(f,*varargs,axis=None ,edge_order=1)0032.04075480191081470814min 42s09514min<d>numpy/<d>lib/<f>function_base .py/__Globals/gradient(f,*varargs ,axis=None,edge_order=1)
      test_datetime_busday_holidays_offset (self)0680088460680087460874min 36s05216min<d>numpy/<d>core/<d>tests/<f >test_datetime .py/TestDateTime/test_datetime_busday_ho lidays_offset(self)
      test_can_ignore_signature(self)0750089460750086460864min 36s05116min<d>numpy/<d>core/<d>tests/<f>test_ufunc .py/TestUfunc/test_can_ignore_signature (self)
      test_spacing(self)0740090460740085460854min 36s05416min<d>numpy/<d>lib/<d>tests/<f >test_function_base .py/TestGradient/test_spacing(self)
      _parse_einsum_input(operands)0002.13085460221096450964min 30s09714min<d>numpy/<d>core/<f>einsumfunc .py/__Globals/_parse_einsum_input (operands)
      test_matrix_matrix_values(self)0760096450760095450954min 30s05316min<d>numpy/<d>core/<d>tests/<f >test_multiarray .py/MatmulCommon/test_matrix_matrix_valu es(self)
      calc_info(self)0780095450780094450944min 30s05716min<d>numpy/<d>distutils/<f>system_info .py/_pkg_config_info/calc_info(self)
      _libs_with_msvc_and_fortran(self ,fcompiler,c_libraries,c_library_dirs)0770097450770099450994min 30s05516min<d>numpy/<d>distutils/<d>command/<f >build_ext .py/build_ext/_libs_with_msvc_and_fortra n(self,fcompiler,c_libraries ,c_library_dirs)
      routsign2map(rout)0022.13086460181098450984min 30s09814min<d>numpy/<d>f2py/<f>capi_maps .py/__Globals/routsign2map(rout)
      scaninputline(inputline)0700099450700097450974min 30s04416min<d>numpy/<d>f2py/<f>f2py2e .py/__Globals/scaninputline(inputline)
      __getitem__(self,key)0690098450690090450904min 30s07116min<d>numpy/<d>lib/<f>index_tricks .py/AxisConcatenator/__getitem__(self ,key)
      test_polyfit(self)0710092450710089450894min 30s07216min<d>numpy/<d>lib/<d>tests/<f >test_polynomial .py/TestPolynomial/test_polyfit(self)
      test_indexing(self)0730091450730088450884min 30s06216min<d>numpy/<d>ma/<d>tests/<f>test_core .py/TestMaskedArray/test_indexing(self)
      test_testCI(self)0720094450720093450934min 30s06616min<d>numpy/<d>ma/<d>tests/<f>test_old_ma .py/TestMa/test_testCI(self)
      _fit(vander_f,x,y,deg,rcond=None ,full=False,w=None)0012.13087460231092450924min 30s09914min<d>numpy/<d>polynomial/<f>polyutils .py/__Globals/_fit(vander_f,x,y,deg ,rcond=None,full=False,w=None)
      parse_signature(sig_text,name,pos)0800093450800091450914min 30s06516min<d>tools/<d>npy_tempita/<f>__init__ .py/__Globals/parse_signature(sig_text ,name,pos)
      warning   Rule Violated:    Avoid types with poor cohesion

      10 types matched

      • Formatting: bold means added, underlined means code was changed, strike-bold means removed (since baseline)
      10 typesLack of Cohesion Of Methods (LCOM)# Methods# FieldspoorCohesionScoreDebtAnnual InterestFull Name
      MaskedConstant000.99071505130045.65003h 37min001h 12min<d>numpy/<d>ma/<f>core.py/MaskedConstant
      matrix010.97043303180124.24011h 45min0135min<d>numpy/<d>matrixlib/<f>defmatrix .py/matrix
      MaskedArray020.950010600510215.94021h 2min0220min<d>numpy/<d>ma/<f>core.py/MaskedArray
      FCompiler030.93023901500312.010341min0314min<d>numpy/<d>distutils/<d>fcompiler/<f >__init__.py/FCompiler
      GnuFCompiler040.908130413048.760424min048min<d>numpy/<d>distutils/<d>fcompiler/<f >gnu.py/GnuFCompiler
      MaskedRecords050.8906200613058.110521min057min<d>numpy/<d>ma/<f>mrecords .py/MaskedRecords
      Configuration060.8803380222067.790619min066min<d>numpy/<d>distutils/<f>misc_util .py/Configuration
      system_info070.8405220812075.8079min073min 23s<d>numpy/<d>distutils/<f>system_info .py/system_info
      Gnu95FCompiler080.8209110712085.21086min082min 22s<d>numpy/<d>distutils/<d>fcompiler/<f >gnu.py/Gnu95FCompiler
      ABCPolyBase090.8101680911095.06095min092min 6s<d>numpy/<d>polynomial/<f>_polybase .py/ABCPolyBase
      warning   Rule Violated:    Too many ancestors

      8 fields matched

      • Formatting: bold means added, underlined means code was changed, strike-bold means removed (since baseline)
      8 fieldsFilePathLineDebtSeverityFull Name
      Too many ancestors (8/7)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_scalarinherit.py61322min 0s2HighPylint/Pylint/Pylint/Too many ancestors (8/7)
      Too many ancestors (9/7)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_scalarinherit.py51632min 0s3HighPylint/Pylint/Pylint/Too many ancestors (9/7)
      Too many ancestors (10/7)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_scalarinherit.py41802min 0s0HighPylint/Pylint/Pylint/Too many ancestors (10/7)
      Too many ancestors (8/7)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_scalarinherit.py32112min 0s1HighPylint/Pylint/Pylint/Too many ancestors (8/7)
      Too many ancestors (9/7)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_scalarinherit.py22362min 0s6HighPylint/Pylint/Pylint/Too many ancestors (9/7)
      Too many ancestors (8/7)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_scalarinherit.py13072min 0s7HighPylint/Pylint/Pylint/Too many ancestors (8/7)
      Too many ancestors (8/7)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\sdist.py7942min 0s4HighPylint/Pylint/Pylint/Too many ancestors (8/7)
      Too many ancestors (8/7)c:\users\eagle\downloads\numpy-master\numpy\matrixlib\tests\test_matrix_linalg.py06452min 0s5HighPylint/Pylint/Pylint/Too many ancestors (8/7)

      Statistics

      Stat   FilePath   Line   Debt   Severity
      Sum:-19416min-
      Average:-24.252min 0s-
      Minimum:-92min 0s-
      Maximum:-642min 0s-
      Standard deviation:-16.170min 0s-
      Variance:-261.440min 0s-
      warning   Rule Violated:    Too many instance attributes

      22 fields matched

      • Formatting: bold means added, underlined means code was changed, strike-bold means removed (since baseline)
      22 fieldsFilePathLineDebtSeverityFull Name
      Too many instance attributes (9/7)c:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\bench_linalg.py206072min 0s07HighPylint/Pylint/Pylint/Too many instance attributes (9/7)
      Too many instance attributes (19/7)c:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\bench_shape_base.py216062min 0s06HighPylint/Pylint/Pylint/Too many instance attributes (19/7)
      Too many instance attributes (10/7)c:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\bench_shape_base.py1188082min 0s08HighPylint/Pylint/Pylint/Too many instance attributes (10/7)
      Too many instance attributes (12/7)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py03834102min 0s10HighPylint/Pylint/Pylint/Too many instance attributes (12/7)
      Too many instance attributes (16/7)c:\users\eagle\downloads\numpy-master\numpy\core\getlimits.py1332092min 0s09HighPylint/Pylint/Pylint/Too many instance attributes (16/7)
      Too many instance attributes (13/7)c:\users\eagle\downloads\numpy-master\numpy\core\getlimits.py07292052min 0s05HighPylint/Pylint/Pylint/Too many instance attributes (13/7)
      Too many instance attributes (24/7)c:\users\eagle\downloads\numpy-master\numpy\core\machar.py1817012min 0s01HighPylint/Pylint/Pylint/Too many instance attributes (24/7)
      Too many instance attributes (9/7)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_half.py1519002min 0s00HighPylint/Pylint/Pylint/Too many instance attributes (9/7)
      Too many instance attributes (12/7)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numeric.py06406022min 0s02HighPylint/Pylint/Pylint/Too many instance attributes (12/7)
      Too many instance attributes (9/7)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numeric.py002 640042min 0s04HighPylint/Pylint/Pylint/Too many instance attributes (9/7)
      Too many instance attributes (8/7)c:\users\eagle\downloads\numpy-master\numpy\distutils\extension.py1717032min 0s03HighPylint/Pylint/Pylint/Too many instance attributes (8/7)
      Too many instance attributes (11/7)c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py04726182min 0s18HighPylint/Pylint/Pylint/Too many instance attributes (11/7)
      Too many instance attributes (9/7)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_ext.py1425172min 0s17HighPylint/Pylint/Pylint/Too many instance attributes (9/7)
      Too many instance attributes (21/7)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_src.py1238192min 0s19HighPylint/Pylint/Pylint/Too many instance attributes (21/7)
      Too many instance attributes (10/7)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\config_compiler.py1618212min 0s21HighPylint/Pylint/Pylint/Too many instance attributes (10/7)
      Too many instance attributes (11/7)c:\users\eagle\downloads\numpy-master\numpy\distutils\tests\test_system_info.py09131202min 0s20HighPylint/Pylint/Pylint/Too many instance attributes (11/7)
      Too many instance attributes (9/7)c:\users\eagle\downloads\numpy-master\numpy\f2py\tests\test_array_from_pyobj.py08193162min 0s16HighPylint/Pylint/Pylint/Too many instance attributes (9/7)
      Too many instance attributes (8/7)c:\users\eagle\downloads\numpy-master\numpy\lib\function_base.py021 896122min 0s12HighPylint/Pylint/Pylint/Too many instance attributes (8/7)
      Too many instance attributes (9/7)c:\users\eagle\downloads\numpy-master\numpy\lib\_iotools.py05457112min 0s11HighPylint/Pylint/Pylint/Too many instance attributes (9/7)
      Too many instance attributes (29/7)c:\users\eagle\downloads\numpy-master\numpy\ma\timer_comparison.py1916132min 0s13HighPylint/Pylint/Pylint/Too many instance attributes (29/7)
      Too many instance attributes (9/7)c:\users\eagle\downloads\numpy-master\numpy\testing\_private\utils.py012 016152min 0s15HighPylint/Pylint/Pylint/Too many instance attributes (9/7)
      Too many instance attributes (9/7)c:\users\eagle\downloads\numpy-master\tools\npy_tempita\__init__.py1093142min 0s14HighPylint/Pylint/Pylint/Too many instance attributes (9/7)

      Statistics

      Stat   FilePath   Line   Debt   Severity
      Sum:-9 96644min-
      Average:-4532min 0s-
      Minimum:-62min 0s-
      Maximum:-2 6402min 0s-
      Standard deviation:-734.570min 0s-
      Variance:-539 5970min 0s-
      warning   Rule Violated:    Too few public methods

      311 fields matched

      311 fieldsFilePathLineDebtSeverityFull Name
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\bench_core.py0661800332min 0s033HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\bench_overrides.py081360322min 0s032HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\bench_ufunc.py0701530312min 0s031HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\bench_ufunc.py0681650362min 0s036HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\bench_ufunc.py0651900352min 0s035HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\common.py0731130342min 0s034HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\doc\neps\nep-0016-benchmark.py09950272min 0s027HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\doc\neps\nep-0016-benchmark.py09880262min 0s026HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\doc\neps\nep-0016-benchmark.py096110252min 0s025HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\doc\neps\nep-0016-benchmark.py093140302min 0s030HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\doc\neps\nep-0016-benchmark.py091170292min 0s029HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\doc\source\conf.py0493870282min 0s028HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\ctypeslib.py0671780372min 0s037HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\_pytesttester.py079450462min 0s046HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0311 1230452min 0s045HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0301 1360442min 0s044HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0291 1460492min 0s049HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0281 1790482min 0s048HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0271 2050472min 0s047HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0241 2370402min 0s040HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0231 2420392min 0s039HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\numpy\core\getlimits.py083320382min 0s038HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\machar.py092170432min 0s043HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\numpy\core\records.py075980422min 0s042HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\numpy\core\_internal.py0582430412min 0s041HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\_internal.py0602390082min 0s008HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\_internal.py0328450072min 0s007HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\numpy\core\_ufunc_config.py0503620062min 0s006HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\genapi.py077780112min 0s011HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\genapi.py076890102min 0s010HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\generate_umath.py089220092min 0s009HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\generate_umath.py087250022min 0s002HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\generate_umath.py084310012min 0s001HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\generate_umath.py0721210002min 0s000HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_arrayprint.py0691630052min 0s005HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_datetime.py0162 3690042min 0s004HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_deprecations.py0711370032min 0s003HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_deprecations.py0533340122min 0s012HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_dtype.py0347420212min 0s021HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_getlimits.py094120202min 0s020HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_getlimits.py090180192min 0s019HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_getlimits.py088240242min 0s024HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_getlimits.py085300232min 0s023HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_getlimits.py082360222min 0s022HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_getlimits.py080420152min 0s015HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_indexing.py0425270142min 0s014HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_indexing.py0366510132min 0s013HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_indexing.py0261 2190182min 0s018HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_indexing.py0251 2320172min 0s017HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_indexing.py0221 2490162min 0s016HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_machar.py097110832min 0s083HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0592420822min 0s082HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0103 2920812min 0s081HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0093 7700862min 0s086HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0083 7800852min 0s085HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0074 3370842min 0s084HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0065 2940772min 0s077HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0056 7240762min 0s076HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0037 3050752min 0s075HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0047 3040802min 0s080HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0027 4210792min 0s079HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0017 4330782min 0s078HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0007 8120872min 0s087HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numeric.py0572700962min 0s096HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numeric.py0142 7470952min 0s095HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numeric.py0113 2110942min 0s094HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numerictypes.py0642040992min 0s099HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numerictypes.py0622240982min 0s098HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numerictypes.py0612300972min 0s097HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numerictypes.py0543310902min 0s090HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numerictypes.py0474340892min 0s089HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numerictypes.py0464400882min 0s088HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numerictypes.py0445200932min 0s093HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_overrides.py0513560922min 0s092HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_records.py0553160912min 0s091HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_scalarinherit.py095110582min 0s058HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_scalarinherit.py086260572min 0s057HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_scalarmath.py0435220562min 0s056HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_scalarmath.py0356770612min 0s061HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0632070602min 0s060HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0415280592min 0s059HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0395700522min 0s052HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0376220512min 0s051HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0337570502min 0s050HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0211 4380552min 0s055HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0201 4490542min 0s054HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0191 4540532min 0s053HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0181 4600622min 0s062HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0171 4660712min 0s071HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0152 5450702min 0s070HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0132 8890692min 0s069HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0122 9030742min 0s074HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath_complex.py0405440732min 0s073HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath_complex.py0385710722min 0s072HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\distutils\cpuinfo.py078640652min 0s065HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\numpy\distutils\cpuinfo.py074990642min 0s064HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (1/2)c:\users\eagle\downloads\numpy-master\numpy\distutils\cpuinfo.py0562940632min 0s063HighPylint/Pylint/Pylint/Too few public methods (1/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\numpy\distutils\cpuinfo.py0523520682min 0s068HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\numpy\distutils\cpuinfo.py0483980672min 0s067HighPylint/Pylint/Pylint/Too few public methods (0/2)
      Too few public methods (0/2)c:\users\eagle\downloads\numpy-master\numpy\distutils\cpuinfo.py0454720662min 0s066HighPylint/Pylint/Pylint/Too few public methods (0/2)

      Statistics

      Stat   FilePath   Line   Debt   Severity
      Sum:-393 2231d 2h-
      Average:-1 2642min 0s-
      Minimum:-42min 0s-
      Maximum:-8 2532min 0s-
      Standard deviation:-1 8240min 0s-
      Variance:-3 327 8550min 0s-
      warning   Rule Violated:    Too many public methods

      48 fields matched

      • Formatting: bold means added, underlined means code was changed, strike-bold means removed (since baseline)
      48 fieldsFilePathLineDebtSeverityFull Name
      Too many public methods (23/20)c:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\bench_core.py476152min 0s15HighPylint/Pylint/Pylint/Too many public methods (23/20)
      Too many public methods (40/20)c:\users\eagle\downloads\numpy-master\numpy\core\defchararray.py071 806162min 0s16HighPylint/Pylint/Pylint/Too many public methods (40/20)
      Too many public methods (82/20)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_datetime.py3425172min 0s17HighPylint/Pylint/Pylint/Too many public methods (82/20)
      Too many public methods (24/20)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_defchararray.py23304122min 0s12HighPylint/Pylint/Pylint/Too many public methods (24/20)
      Too many public methods (38/20)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_einsum.py4215132min 0s13HighPylint/Pylint/Pylint/Too many public methods (38/20)
      Too many public methods (36/20)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_indexing.py4315142min 0s14HighPylint/Pylint/Pylint/Too many public methods (36/20)
      Too many public methods (21/20)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_memmap.py3717212min 0s21HighPylint/Pylint/Pylint/Too many public methods (21/20)
      Too many public methods (67/20)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py101 542222min 0s22HighPylint/Pylint/Pylint/Too many public methods (67/20)
      Too many public methods (41/20)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py014 610232min 0s23HighPylint/Pylint/Pylint/Too many public methods (41/20)
      Too many public methods (23/20)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py006 874182min 0s18HighPylint/Pylint/Pylint/Too many public methods (23/20)
      Too many public methods (27/20)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numeric.py3154192min 0s19HighPylint/Pylint/Pylint/Too many public methods (27/20)
      Too many public methods (50/20)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numeric.py111 506202min 0s20HighPylint/Pylint/Pylint/Too many public methods (50/20)
      Too many public methods (258/20)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_regression.py3325032min 0s03HighPylint/Pylint/Pylint/Too many public methods (258/20)
      Too many public methods (86/20)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_ufunc.py25180042min 0s04HighPylint/Pylint/Pylint/Too many public methods (86/20)
      Too many public methods (23/20)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py091 623052min 0s05HighPylint/Pylint/Pylint/Too many public methods (23/20)
      Too many public methods (29/20)c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py17726002min 0s00HighPylint/Pylint/Pylint/Too many public methods (29/20)
      Too many public methods (28/20)c:\users\eagle\downloads\numpy-master\numpy\distutils\fcompiler\__init__.py3059012min 0s01HighPylint/Pylint/Pylint/Too many public methods (28/20)
      Too many public methods (22/20)c:\users\eagle\downloads\numpy-master\numpy\f2py\tests\test_array_from_pyobj.py22305022min 0s02HighPylint/Pylint/Pylint/Too many public methods (22/20)
      Too many public methods (21/20)c:\users\eagle\downloads\numpy-master\numpy\lib\tests\test_arraysetops.py4414092min 0s09HighPylint/Pylint/Pylint/Too many public methods (21/20)
      Too many public methods (26/20)c:\users\eagle\downloads\numpy-master\numpy\lib\tests\test_financial.py3519102min 0s10HighPylint/Pylint/Pylint/Too many public methods (26/20)
      Too many public methods (34/20)c:\users\eagle\downloads\numpy-master\numpy\lib\tests\test_function_base.py131 235112min 0s11HighPylint/Pylint/Pylint/Too many public methods (34/20)
      Too many public methods (24/20)c:\users\eagle\downloads\numpy-master\numpy\lib\tests\test_function_base.py052 626062min 0s06HighPylint/Pylint/Pylint/Too many public methods (24/20)
      Too many public methods (32/20)c:\users\eagle\downloads\numpy-master\numpy\lib\tests\test_histograms.py4512072min 0s07HighPylint/Pylint/Pylint/Too many public methods (32/20)
      Too many public methods (37/20)c:\users\eagle\downloads\numpy-master\numpy\lib\tests\test_io.py20661082min 0s08HighPylint/Pylint/Pylint/Too many public methods (37/20)
      Too many public methods (75/20)c:\users\eagle\downloads\numpy-master\numpy\lib\tests\test_io.py141 219392min 0s39HighPylint/Pylint/Pylint/Too many public methods (75/20)
      Too many public methods (27/20)c:\users\eagle\downloads\numpy-master\numpy\lib\tests\test_regression.py4610402min 0s40HighPylint/Pylint/Pylint/Too many public methods (27/20)
      Too many public methods (56/20)c:\users\eagle\downloads\numpy-master\numpy\ma\core.py042 705412min 0s41HighPylint/Pylint/Pylint/Too many public methods (56/20)
      Too many public methods (54/20)c:\users\eagle\downloads\numpy-master\numpy\ma\tests\test_core.py2966362min 0s36HighPylint/Pylint/Pylint/Too many public methods (54/20)
      Too many public methods (40/20)c:\users\eagle\downloads\numpy-master\numpy\ma\tests\test_core.py16962372min 0s37HighPylint/Pylint/Pylint/Too many public methods (40/20)
      Too many public methods (30/20)c:\users\eagle\downloads\numpy-master\numpy\ma\tests\test_core.py062 405382min 0s38HighPylint/Pylint/Pylint/Too many public methods (30/20)
      Too many public methods (35/20)c:\users\eagle\downloads\numpy-master\numpy\ma\tests\test_core.py032 907452min 0s45HighPylint/Pylint/Pylint/Too many public methods (35/20)
      Too many public methods (35/20)c:\users\eagle\downloads\numpy-master\numpy\ma\tests\test_core.py023 945462min 0s46HighPylint/Pylint/Pylint/Too many public methods (35/20)
      Too many public methods (22/20)c:\users\eagle\downloads\numpy-master\numpy\ma\tests\test_extras.py18710472min 0s47HighPylint/Pylint/Pylint/Too many public methods (22/20)
      Too many public methods (28/20)c:\users\eagle\downloads\numpy-master\numpy\ma\tests\test_old_ma.py3234422min 0s42HighPylint/Pylint/Pylint/Too many public methods (28/20)
      Too many public methods (21/20)c:\users\eagle\downloads\numpy-master\numpy\matrixlib\defmatrix.py2873432min 0s43HighPylint/Pylint/Pylint/Too many public methods (21/20)
      Too many public methods (24/20)c:\users\eagle\downloads\numpy-master\numpy\polynomial\_polybase.py3617442min 0s44HighPylint/Pylint/Pylint/Too many public methods (24/20)
      Too many public methods (98/20)c:\users\eagle\downloads\numpy-master\numpy\random\tests\test_generator_mt19937.py19684272min 0s27HighPylint/Pylint/Pylint/Too many public methods (98/20)
      Too many public methods (32/20)c:\users\eagle\downloads\numpy-master\numpy\random\tests\test_generator_mt19937.py081 672282min 0s28HighPylint/Pylint/Pylint/Too many public methods (32/20)
      Too many public methods (69/20)c:\users\eagle\downloads\numpy-master\numpy\random\tests\test_random.py24287292min 0s29HighPylint/Pylint/Pylint/Too many public methods (69/20)
      Too many public methods (32/20)c:\users\eagle\downloads\numpy-master\numpy\random\tests\test_random.py15988242min 0s24HighPylint/Pylint/Pylint/Too many public methods (32/20)
      Too many public methods (80/20)c:\users\eagle\downloads\numpy-master\numpy\random\tests\test_randomstate.py21419252min 0s25HighPylint/Pylint/Pylint/Too many public methods (80/20)
      Too many public methods (32/20)c:\users\eagle\downloads\numpy-master\numpy\random\tests\test_randomstate.py121 272262min 0s26HighPylint/Pylint/Pylint/Too many public methods (32/20)
      Too many public methods (68/20)c:\users\eagle\downloads\numpy-master\numpy\random\tests\test_smoke.py2794332min 0s33HighPylint/Pylint/Pylint/Too many public methods (68/20)
      Too many public methods (23/20)c:\users\eagle\downloads\numpy-master\tools\swig\test\testarray.py26118342min 0s34HighPylint/Pylint/Pylint/Too many public methods (23/20)
      Too many public methods (27/20)c:\users\eagle\downloads\numpy-master\tools\swig\test\testmatrix.py4116352min 0s35HighPylint/Pylint/Pylint/Too many public methods (27/20)
      Too many public methods (27/20)c:\users\eagle\downloads\numpy-master\tools\swig\test\testsupertensor.py4016302min 0s30HighPylint/Pylint/Pylint/Too many public methods (27/20)
      Too many public methods (27/20)c:\users\eagle\downloads\numpy-master\tools\swig\test\testtensor.py3817312min 0s31HighPylint/Pylint/Pylint/Too many public methods (27/20)
      Too many public methods (31/20)c:\users\eagle\downloads\numpy-master\tools\swig\test\testvector.py3916322min 0s32HighPylint/Pylint/Pylint/Too many public methods (31/20)

      Statistics

      Stat   FilePath   Line   Debt   Severity
      Sum:-44 9111h 36min-
      Average:-935.652min 0s-
      Minimum:-62min 0s-
      Maximum:-6 8742min 0s-
      Standard deviation:-1 3910min 0s-
      Variance:-1 933 7000min 0s-
      warning   Rule Violated:    Too many return statements

      15 fields matched

      • Formatting: bold means added, underlined means code was changed, strike-bold means removed (since baseline)
      15 fieldsFilePathLineDebtSeverityFull Name
      Too many return statements (7/6)c:\users\eagle\downloads\numpy-master\setup.py12277042min 0s04HighPylint/Pylint/Pylint/Too many return statements (7/6)
      Too many return statements (13/6)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py09409052min 0s05HighPylint/Pylint/Pylint/Too many return statements (13/6)
      Too many return statements (12/6)c:\users\eagle\downloads\numpy-master\numpy\core\einsumfunc.py08412062min 0s06HighPylint/Pylint/Pylint/Too many return statements (12/6)
      Too many return statements (8/6)c:\users\eagle\downloads\numpy-master\numpy\core\records.py03903032min 0s03HighPylint/Pylint/Pylint/Too many return statements (8/6)
      Too many return statements (9/6)c:\users\eagle\downloads\numpy-master\numpy\core\setup_common.py11338002min 0s00HighPylint/Pylint/Pylint/Too many return statements (9/6)
      Too many return statements (14/6)c:\users\eagle\downloads\numpy-master\numpy\core\_dtype.py13103012min 0s01HighPylint/Pylint/Pylint/Too many return statements (14/6)
      Too many return statements (8/6)c:\users\eagle\downloads\numpy-master\numpy\f2py\auxfuncs.py10391022min 0s02HighPylint/Pylint/Pylint/Too many return statements (8/6)
      Too many return statements (13/6)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py07642072min 0s07HighPylint/Pylint/Pylint/Too many return statements (13/6)
      Too many return statements (13/6)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py022 168122min 0s12HighPylint/Pylint/Pylint/Too many return statements (13/6)
      Too many return statements (8/6)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py002 959132min 0s13HighPylint/Pylint/Pylint/Too many return statements (8/6)
      Too many return statements (10/6)c:\users\eagle\downloads\numpy-master\numpy\lib\npyio.py05756142min 0s14HighPylint/Pylint/Pylint/Too many return statements (10/6)
      Too many return statements (8/6)c:\users\eagle\downloads\numpy-master\numpy\linalg\linalg.py012 364112min 0s11HighPylint/Pylint/Pylint/Too many return statements (8/6)
      Too many return statements (8/6)c:\users\eagle\downloads\numpy-master\numpy\testing\_private\noseclasses.py1430082min 0s08HighPylint/Pylint/Pylint/Too many return statements (8/6)
      Too many return statements (14/6)c:\users\eagle\downloads\numpy-master\tools\refguide_check.py06680092min 0s09HighPylint/Pylint/Pylint/Too many return statements (14/6)
      Too many return statements (10/6)c:\users\eagle\downloads\numpy-master\tools\npy_tempita\__init__.py04846102min 0s10HighPylint/Pylint/Pylint/Too many return statements (10/6)

      Statistics

      Stat   FilePath   Line   Debt   Severity
      Sum:-13 27830min-
      Average:-885.22min 0s-
      Minimum:-302min 0s-
      Maximum:-2 9592min 0s-
      Standard deviation:-854.80min 0s-
      Variance:-730 6890min 0s-
      warning   Rule Violated:    Too many branches

      165 fields matched

      165 fieldsFilePathLineDebtSeverityFull Name
      Too many branches (48/12)c:\users\eagle\downloads\numpy-master\runtests.py093680332min 0s033HighPylint/Pylint/Pylint/Too many branches (48/12)
      Too many branches (19/12)c:\users\eagle\downloads\numpy-master\runtests.py0633270322min 0s032HighPylint/Pylint/Pylint/Too many branches (19/12)
      Too many branches (14/12)c:\users\eagle\downloads\numpy-master\doc\neps\tools\build_index.py098180312min 0s031HighPylint/Pylint/Pylint/Too many branches (14/12)
      Too many branches (13/12)c:\users\eagle\downloads\numpy-master\doc\source\conf.py0613280362min 0s036HighPylint/Pylint/Pylint/Too many branches (13/12)
      Too many branches (18/12)c:\users\eagle\downloads\numpy-master\numpy\ctypeslib.py0712300352min 0s035HighPylint/Pylint/Pylint/Too many branches (18/12)
      Too many branches (13/12)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0583580342min 0s034HighPylint/Pylint/Pylint/Too many branches (13/12)
      Too many branches (17/12)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0544090272min 0s027HighPylint/Pylint/Pylint/Too many branches (17/12)
      Too many branches (20/12)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0367180262min 0s026HighPylint/Pylint/Pylint/Too many branches (20/12)
      Too many branches (16/12)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0288630252min 0s025HighPylint/Pylint/Pylint/Too many branches (16/12)
      Too many branches (23/12)c:\users\eagle\downloads\numpy-master\numpy\core\defchararray.py0062 6130302min 0s030HighPylint/Pylint/Pylint/Too many branches (23/12)
      Too many branches (47/12)c:\users\eagle\downloads\numpy-master\numpy\core\einsumfunc.py0455220292min 0s029HighPylint/Pylint/Pylint/Too many branches (47/12)
      Too many branches (29/12)c:\users\eagle\downloads\numpy-master\numpy\core\einsumfunc.py0377020282min 0s028HighPylint/Pylint/Pylint/Too many branches (29/12)
      Too many branches (13/12)c:\users\eagle\downloads\numpy-master\numpy\core\einsumfunc.py0239930372min 0s037HighPylint/Pylint/Pylint/Too many branches (13/12)
      Too many branches (13/12)c:\users\eagle\downloads\numpy-master\numpy\core\function_base.py097240462min 0s046HighPylint/Pylint/Pylint/Too many branches (13/12)
      Too many branches (44/12)c:\users\eagle\downloads\numpy-master\numpy\core\machar.py0811160452min 0s045HighPylint/Pylint/Pylint/Too many branches (44/12)
      Too many branches (17/12)c:\users\eagle\downloads\numpy-master\numpy\core\memmap.py0732050442min 0s044HighPylint/Pylint/Pylint/Too many branches (17/12)
      Too many branches (13/12)c:\users\eagle\downloads\numpy-master\numpy\core\numeric.py0259140492min 0s049HighPylint/Pylint/Pylint/Too many branches (13/12)
      Too many branches (22/12)c:\users\eagle\downloads\numpy-master\numpy\core\records.py0269030482min 0s048HighPylint/Pylint/Pylint/Too many branches (22/12)
      Too many branches (16/12)c:\users\eagle\downloads\numpy-master\numpy\core\setup.py0831080472min 0s047HighPylint/Pylint/Pylint/Too many branches (16/12)
      Too many branches (24/12)c:\users\eagle\downloads\numpy-master\numpy\core\setup.py0672660402min 0s040HighPylint/Pylint/Pylint/Too many branches (24/12)
      Too many branches (18/12)c:\users\eagle\downloads\numpy-master\numpy\core\setup.py0534170392min 0s039HighPylint/Pylint/Pylint/Too many branches (18/12)
      Too many branches (17/12)c:\users\eagle\downloads\numpy-master\numpy\core\setup_common.py0603380382min 0s038HighPylint/Pylint/Pylint/Too many branches (17/12)
      Too many branches (20/12)c:\users\eagle\downloads\numpy-master\numpy\core\_dtype.py0851030432min 0s043HighPylint/Pylint/Pylint/Too many branches (20/12)
      Too many branches (15/12)c:\users\eagle\downloads\numpy-master\numpy\core\_internal.py088880422min 0s042HighPylint/Pylint/Pylint/Too many branches (15/12)
      Too many branches (13/12)c:\users\eagle\downloads\numpy-master\numpy\core\_internal.py0781570412min 0s041HighPylint/Pylint/Pylint/Too many branches (13/12)
      Too many branches (29/12)c:\users\eagle\downloads\numpy-master\numpy\core\_internal.py0435650082min 0s008HighPylint/Pylint/Pylint/Too many branches (29/12)
      Too many branches (19/12)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\genapi.py0741980072min 0s007HighPylint/Pylint/Pylint/Too many branches (19/12)
      Too many branches (14/12)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\generate_umath.py087890062min 0s006HighPylint/Pylint/Pylint/Too many branches (14/12)
      Too many branches (14/12)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\generate_umath.py0249850112min 0s011HighPylint/Pylint/Pylint/Too many branches (14/12)
      Too many branches (19/12)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_einsum.py0702360102min 0s010HighPylint/Pylint/Pylint/Too many branches (19/12)
      Too many branches (46/12)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_indexing.py0327720092min 0s009HighPylint/Pylint/Pylint/Too many branches (46/12)
      Too many branches (16/12)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_mem_overlap.py0426020022min 0s002HighPylint/Pylint/Pylint/Too many branches (16/12)
      Too many branches (13/12)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0131 9760012min 0s001HighPylint/Pylint/Pylint/Too many branches (13/12)
      Too many branches (21/12)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0003 4060002min 0s000HighPylint/Pylint/Pylint/Too many branches (21/12)
      Too many branches (21/12)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numeric.py0072 5310052min 0s005HighPylint/Pylint/Pylint/Too many branches (21/12)
      Too many branches (13/12)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_ufunc.py0524210042min 0s004HighPylint/Pylint/Pylint/Too many branches (13/12)
      Too many branches (19/12)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py086930032min 0s003HighPylint/Pylint/Pylint/Too many branches (19/12)
      Too many branches (15/12)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0102 3750122min 0s012HighPylint/Pylint/Pylint/Too many branches (15/12)
      Too many branches (18/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\ccompiler.py0722250212min 0s021HighPylint/Pylint/Pylint/Too many branches (18/12)
      Too many branches (14/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\ccompiler.py0494660202min 0s020HighPylint/Pylint/Pylint/Too many branches (14/12)
      Too many branches (15/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\core.py0841070192min 0s019HighPylint/Pylint/Pylint/Too many branches (15/12)
      Too many branches (13/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\exec_command.py0801160242min 0s024HighPylint/Pylint/Pylint/Too many branches (13/12)
      Too many branches (15/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\mingw32ccompiler.py094560232min 0s023HighPylint/Pylint/Pylint/Too many branches (15/12)
      Too many branches (15/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py0682610222min 0s022HighPylint/Pylint/Pylint/Too many branches (15/12)
      Too many branches (17/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py0357360152min 0s015HighPylint/Pylint/Pylint/Too many branches (17/12)
      Too many branches (23/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py0221 0380142min 0s014HighPylint/Pylint/Pylint/Too many branches (23/12)
      Too many branches (23/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py0201 1680132min 0s013HighPylint/Pylint/Pylint/Too many branches (23/12)
      Too many branches (15/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py0141 9180182min 0s018HighPylint/Pylint/Pylint/Too many branches (15/12)
      Too many branches (17/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\system_info.py0171 5780172min 0s017HighPylint/Pylint/Pylint/Too many branches (17/12)
      Too many branches (18/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\system_info.py0317730162min 0s016HighPylint/Pylint/Pylint/Too many branches (18/12)
      Too many branches (18/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\system_info.py0191 2400832min 0s083HighPylint/Pylint/Pylint/Too many branches (18/12)
      Too many branches (24/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\system_info.py0052 7020822min 0s082HighPylint/Pylint/Pylint/Too many branches (24/12)
      Too many branches (33/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_clib.py0791460812min 0s081HighPylint/Pylint/Pylint/Too many branches (33/12)
      Too many branches (47/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_ext.py091800862min 0s086HighPylint/Pylint/Pylint/Too many branches (47/12)
      Too many branches (35/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_ext.py0662990852min 0s085HighPylint/Pylint/Pylint/Too many branches (35/12)
      Too many branches (19/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_ext.py0445310842min 0s084HighPylint/Pylint/Pylint/Too many branches (19/12)
      Too many branches (18/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_src.py090820772min 0s077HighPylint/Pylint/Pylint/Too many branches (18/12)
      Too many branches (14/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_src.py0771660762min 0s076HighPylint/Pylint/Pylint/Too many branches (14/12)
      Too many branches (14/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_src.py0593440752min 0s075HighPylint/Pylint/Pylint/Too many branches (14/12)
      Too many branches (34/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_src.py0484660802min 0s080HighPylint/Pylint/Pylint/Too many branches (34/12)
      Too many branches (28/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_src.py0416040792min 0s079HighPylint/Pylint/Pylint/Too many branches (28/12)
      Too many branches (18/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\config.py0821110782min 0s078HighPylint/Pylint/Pylint/Too many branches (18/12)
      Too many branches (13/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\fcompiler\__init__.py0514360872min 0s087HighPylint/Pylint/Pylint/Too many branches (13/12)
      Too many branches (14/12)c:\users\eagle\downloads\numpy-master\numpy\distutils\fcompiler\__init__.py0396400962min 0s096HighPylint/Pylint/Pylint/Too many branches (14/12)
      Too many branches (16/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\auxfuncs.py0337640952min 0s095HighPylint/Pylint/Pylint/Too many branches (16/12)
      Too many branches (29/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\auxfuncs.py0307930942min 0s094HighPylint/Pylint/Pylint/Too many branches (29/12)
      Too many branches (16/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\capi_maps.py0692430992min 0s099HighPylint/Pylint/Pylint/Too many branches (16/12)
      Too many branches (19/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\capi_maps.py0653200982min 0s098HighPylint/Pylint/Pylint/Too many branches (19/12)
      Too many branches (25/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\capi_maps.py0563810972min 0s097HighPylint/Pylint/Pylint/Too many branches (25/12)
      Too many branches (31/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\capi_maps.py0465080902min 0s090HighPylint/Pylint/Pylint/Too many branches (31/12)
      Too many branches (24/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\capi_maps.py0406120892min 0s089HighPylint/Pylint/Pylint/Too many branches (24/12)
      Too many branches (22/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\capi_maps.py0347390882min 0s088HighPylint/Pylint/Pylint/Too many branches (22/12)
      Too many branches (34/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\cb_rules.py0504490932min 0s093HighPylint/Pylint/Pylint/Too many branches (34/12)
      Too many branches (34/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\cfuncs.py0211 1640922min 0s092HighPylint/Pylint/Pylint/Too many branches (34/12)
      Too many branches (20/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\common_rules.py095490912min 0s091HighPylint/Pylint/Pylint/Too many branches (20/12)
      Too many branches (61/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0623280582min 0s058HighPylint/Pylint/Pylint/Too many branches (61/12)
      Too many branches (36/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0386420572min 0s057HighPylint/Pylint/Pylint/Too many branches (36/12)
      Too many branches (15/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0298400562min 0s056HighPylint/Pylint/Pylint/Too many branches (15/12)
      Too many branches (168/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0279020612min 0s061HighPylint/Pylint/Pylint/Too many branches (168/12)
      Too many branches (59/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0181 5350602min 0s060HighPylint/Pylint/Pylint/Too many branches (59/12)
      Too many branches (18/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0161 6790592min 0s059HighPylint/Pylint/Pylint/Too many branches (18/12)
      Too many branches (29/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0151 8790522min 0s052HighPylint/Pylint/Pylint/Too many branches (29/12)
      Too many branches (14/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0122 0090512min 0s051HighPylint/Pylint/Pylint/Too many branches (14/12)
      Too many branches (66/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0112 1680502min 0s050HighPylint/Pylint/Pylint/Too many branches (66/12)
      Too many branches (21/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0092 4140552min 0s055HighPylint/Pylint/Pylint/Too many branches (21/12)
      Too many branches (150/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0082 5250542min 0s054HighPylint/Pylint/Pylint/Too many branches (150/12)
      Too many branches (14/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0042 8760532min 0s053HighPylint/Pylint/Pylint/Too many branches (14/12)
      Too many branches (17/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0032 9590622min 0s062HighPylint/Pylint/Pylint/Too many branches (17/12)
      Too many branches (24/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0023 0040712min 0s071HighPylint/Pylint/Pylint/Too many branches (24/12)
      Too many branches (48/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0013 1270702min 0s070HighPylint/Pylint/Pylint/Too many branches (48/12)
      Too many branches (26/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\diagnose.py099130692min 0s069HighPylint/Pylint/Pylint/Too many branches (26/12)
      Too many branches (52/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\f2py2e.py0761780742min 0s074HighPylint/Pylint/Pylint/Too many branches (52/12)
      Too many branches (14/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\f2py2e.py0643260732min 0s073HighPylint/Pylint/Pylint/Too many branches (14/12)
      Too many branches (13/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\f2py2e.py0573620722min 0s072HighPylint/Pylint/Pylint/Too many branches (13/12)
      Too many branches (13/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\f2py2e.py0554060652min 0s065HighPylint/Pylint/Pylint/Too many branches (13/12)
      Too many branches (34/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\f2py2e.py0474960642min 0s064HighPylint/Pylint/Pylint/Too many branches (34/12)
      Too many branches (34/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\f90mod_rules.py089870632min 0s063HighPylint/Pylint/Pylint/Too many branches (34/12)
      Too many branches (17/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\func2subr.py096290682min 0s068HighPylint/Pylint/Pylint/Too many branches (17/12)
      Too many branches (34/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\func2subr.py092780672min 0s067HighPylint/Pylint/Pylint/Too many branches (34/12)
      Too many branches (23/12)c:\users\eagle\downloads\numpy-master\numpy\f2py\func2subr.py0751840662min 0s066HighPylint/Pylint/Pylint/Too many branches (23/12)

      Statistics

      Stat   FilePath   Line   Debt   Severity
      Sum:-156 9915h 30min-
      Average:-951.462min 0s-
      Minimum:-132min 0s-
      Maximum:-5 2992min 0s-
      Standard deviation:-1 0470min 0s-
      Variance:-1 096 9920min 0s-
      warning   Rule Violated:    Too many arguments

      198 fields matched

      198 fieldsFilePathLineDebtSeverityFull Name
      Too many arguments (8/5)c:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\bench_avx.py0731230332min 0s033HighPylint/Pylint/Pylint/Too many arguments (8/5)
      Too many arguments (8/5)c:\users\eagle\downloads\numpy-master\numpy\_pytesttester.py084780322min 0s032HighPylint/Pylint/Pylint/Too many arguments (8/5)
      Too many arguments (9/5)c:\users\eagle\downloads\numpy-master\numpy\compat\_inspect.py0711400312min 0s031HighPylint/Pylint/Pylint/Too many arguments (9/5)
      Too many arguments (9/5)c:\users\eagle\downloads\numpy-master\numpy\compat\_inspect.py0671680362min 0s036HighPylint/Pylint/Pylint/Too many arguments (9/5)
      Too many arguments (11/5)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py087600352min 0s035HighPylint/Pylint/Pylint/Too many arguments (11/5)
      Too many arguments (10/5)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py081920342min 0s034HighPylint/Pylint/Pylint/Too many arguments (10/5)
      Too many arguments (13/5)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0435070272min 0s027HighPylint/Pylint/Pylint/Too many arguments (13/5)
      Too many arguments (13/5)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0425170262min 0s026HighPylint/Pylint/Pylint/Too many arguments (13/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0346950252min 0s025HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (8/5)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0337090302min 0s030HighPylint/Pylint/Pylint/Too many arguments (8/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0259780292min 0s029HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (8/5)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0241 0470282min 0s028HighPylint/Pylint/Pylint/Too many arguments (8/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0298360372min 0s037HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0231 1480462min 0s046HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0221 2060452min 0s045HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (8/5)c:\users\eagle\downloads\numpy-master\numpy\core\defchararray.py0141 9460442min 0s044HighPylint/Pylint/Pylint/Too many arguments (8/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\einsumfunc.py0622140492min 0s049HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\fromnumeric.py085700482min 0s048HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\fromnumeric.py0161 6320472min 0s047HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\fromnumeric.py0151 6380402min 0s040HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\fromnumeric.py0132 1000392min 0s039HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\fromnumeric.py0122 1060382min 0s038HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\fromnumeric.py0112 5590432min 0s043HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\fromnumeric.py0102 5650422min 0s042HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\fromnumeric.py0092 6840412min 0s041HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\fromnumeric.py0082 6900082min 0s008HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\fromnumeric.py0072 8510072min 0s007HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\fromnumeric.py0062 8570062min 0s006HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\fromnumeric.py0043 3510112min 0s011HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\fromnumeric.py0033 3570102min 0s010HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\fromnumeric.py0023 4750092min 0s009HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\fromnumeric.py0013 4810022min 0s002HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\function_base.py098180012min 0s001HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\function_base.py096240002min 0s000HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\function_base.py0661680052min 0s005HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\function_base.py0651740042min 0s004HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\function_base.py0582690032min 0s003HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\function_base.py0572750122min 0s012HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\machar.py080980212min 0s021HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\machar.py0741160202min 0s020HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\memmap.py0632050192min 0s019HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\multiarray.py0211 4040242min 0s024HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\multiarray.py0181 4980232min 0s023HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\numeric.py0553190222min 0s022HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\numeric.py0543240152min 0s015HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\numeric.py0201 4170142min 0s014HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\numeric.py0191 4220132min 0s013HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (8/5)c:\users\eagle\downloads\numpy-master\numpy\core\records.py0395960182min 0s018HighPylint/Pylint/Pylint/Too many arguments (8/5)
      Too many arguments (8/5)c:\users\eagle\downloads\numpy-master\numpy\core\records.py0356890172min 0s017HighPylint/Pylint/Pylint/Too many arguments (8/5)
      Too many arguments (9/5)c:\users\eagle\downloads\numpy-master\numpy\core\records.py0317730162min 0s016HighPylint/Pylint/Pylint/Too many arguments (9/5)
      Too many arguments (9/5)c:\users\eagle\downloads\numpy-master\numpy\core\records.py0308060832min 0s083HighPylint/Pylint/Pylint/Too many arguments (9/5)
      Too many arguments (11/5)c:\users\eagle\downloads\numpy-master\numpy\core\records.py0269030822min 0s082HighPylint/Pylint/Pylint/Too many arguments (11/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\records.py0691570812min 0s081HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (12/5)c:\users\eagle\downloads\numpy-master\numpy\core\records.py0484280862min 0s086HighPylint/Pylint/Pylint/Too many arguments (12/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\_exceptions.py083860852min 0s085HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\_exceptions.py0771040842min 0s084HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\_methods.py094370772min 0s077HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\_methods.py093410762min 0s076HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\_methods.py092450752min 0s075HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\_methods.py090490802min 0s080HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\_methods.py0641760792min 0s079HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\_methods.py0592320782min 0s078HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\genapi.py0503800872min 0s087HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\generate_umath.py082890962min 0s096HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\generate_umath.py088520952min 0s095HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\generate_umath.py0721320942min 0s094HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (8/5)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_deprecations.py089500992min 0s099HighPylint/Pylint/Pylint/Too many arguments (8/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_dtype.py0386250982min 0s098HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (8/5)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_dtype.py0366670972min 0s097HighPylint/Pylint/Pylint/Too many arguments (8/5)
      Too many arguments (8/5)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0004 3490902min 0s090HighPylint/Pylint/Pylint/Too many arguments (8/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numeric.py0171 5110892min 0s089HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_ufunc.py0791020882min 0s088HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_ufunc.py0751120932min 0s093HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0052 9280922min 0s092HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath_complex.py0415350912min 0s091HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (9/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\ccompiler.py0612250582min 0s058HighPylint/Pylint/Pylint/Too many arguments (9/5)
      Too many arguments (20/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\extension.py095330572min 0s057HighPylint/Pylint/Pylint/Too many arguments (20/5)
      Too many arguments (14/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\mingw32ccompiler.py0681650562min 0s056HighPylint/Pylint/Pylint/Too many arguments (14/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py0327360612min 0s061HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py0279000602min 0s060HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\npy_pkg_config.py0781030592min 0s059HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\unixccompiler.py099140522min 0s052HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\unixccompiler.py086640512min 0s051HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_ext.py0444990502min 0s050HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\config.py0761110552min 0s055HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\config.py0602310542min 0s054HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (9/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\config.py0563140532min 0s053HighPylint/Pylint/Pylint/Too many arguments (9/5)
      Too many arguments (9/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\config.py0533480622min 0s062HighPylint/Pylint/Pylint/Too many arguments (9/5)
      Too many arguments (8/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\config.py0474340712min 0s071HighPylint/Pylint/Pylint/Too many arguments (8/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\fcompiler\gnu.py0494080702min 0s070HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\fcompiler\__init__.py0288610692min 0s069HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (7/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\fcompiler\__init__.py0405670742min 0s074HighPylint/Pylint/Pylint/Too many arguments (7/5)
      Too many arguments (14/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\fcompiler\__init__.py0376400732min 0s073HighPylint/Pylint/Pylint/Too many arguments (14/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\f2py\__init__.py097190722min 0s072HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\f2py\tests\util.py0701490652min 0s065HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\fft\_pocketfft.py091490642min 0s064HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\lib\financial.py0523500632min 0s063HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\lib\financial.py0513570682min 0s068HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\lib\financial.py0464740672min 0s067HighPylint/Pylint/Pylint/Too many arguments (6/5)
      Too many arguments (6/5)c:\users\eagle\downloads\numpy-master\numpy\lib\financial.py0454810662min 0s066HighPylint/Pylint/Pylint/Too many arguments (6/5)

      Statistics

      Stat   FilePath   Line   Debt   Severity
      Sum:-232 6876h 36min-
      Average:-1 1752min 0s-
      Minimum:-142min 0s-
      Maximum:-6 8352min 0s-
      Standard deviation:-1 4010min 0s-
      Variance:-1 962 7990min 0s-
      warning   Rule Violated:    Too many local variables

      148 fields matched

      148 fieldsFilePathLineDebtSeverityFull Name
      Too many local variables (37/15)c:\users\eagle\downloads\numpy-master\runtests.py092680332min 0s033HighPylint/Pylint/Pylint/Too many local variables (37/15)
      Too many local variables (20/15)c:\users\eagle\downloads\numpy-master\runtests.py0603270322min 0s032HighPylint/Pylint/Pylint/Too many local variables (20/15)
      Too many local variables (16/15)c:\users\eagle\downloads\numpy-master\doc\neps\tools\build_index.py096180312min 0s031HighPylint/Pylint/Pylint/Too many local variables (16/15)
      Too many local variables (17/15)c:\users\eagle\downloads\numpy-master\numpy\_pytesttester.py090780362min 0s036HighPylint/Pylint/Pylint/Too many local variables (17/15)
      Too many local variables (16/15)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0515170352min 0s035HighPylint/Pylint/Pylint/Too many local variables (16/15)
      Too many local variables (18/15)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0397180342min 0s034HighPylint/Pylint/Pylint/Too many local variables (18/15)
      Too many local variables (18/15)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0328630272min 0s027HighPylint/Pylint/Pylint/Too many local variables (18/15)
      Too many local variables (21/15)c:\users\eagle\downloads\numpy-master\numpy\core\einsumfunc.py0811440262min 0s026HighPylint/Pylint/Pylint/Too many local variables (21/15)
      Too many local variables (17/15)c:\users\eagle\downloads\numpy-master\numpy\core\einsumfunc.py0712140252min 0s025HighPylint/Pylint/Pylint/Too many local variables (17/15)
      Too many local variables (19/15)c:\users\eagle\downloads\numpy-master\numpy\core\einsumfunc.py0613110302min 0s030HighPylint/Pylint/Pylint/Too many local variables (19/15)
      Too many local variables (28/15)c:\users\eagle\downloads\numpy-master\numpy\core\einsumfunc.py0505220292min 0s029HighPylint/Pylint/Pylint/Too many local variables (28/15)
      Too many local variables (57/15)c:\users\eagle\downloads\numpy-master\numpy\core\einsumfunc.py0407020282min 0s028HighPylint/Pylint/Pylint/Too many local variables (57/15)
      Too many local variables (26/15)c:\users\eagle\downloads\numpy-master\numpy\core\einsumfunc.py0279930372min 0s037HighPylint/Pylint/Pylint/Too many local variables (26/15)
      Too many local variables (19/15)c:\users\eagle\downloads\numpy-master\numpy\core\getlimits.py085940462min 0s046HighPylint/Pylint/Pylint/Too many local variables (19/15)
      Too many local variables (46/15)c:\users\eagle\downloads\numpy-master\numpy\core\machar.py0831160452min 0s045HighPylint/Pylint/Pylint/Too many local variables (46/15)
      Too many local variables (23/15)c:\users\eagle\downloads\numpy-master\numpy\core\memmap.py0732050442min 0s044HighPylint/Pylint/Pylint/Too many local variables (23/15)
      Too many local variables (25/15)c:\users\eagle\downloads\numpy-master\numpy\core\numeric.py0309140492min 0s049HighPylint/Pylint/Pylint/Too many local variables (25/15)
      Too many local variables (20/15)c:\users\eagle\downloads\numpy-master\numpy\core\numeric.py0201 4220482min 0s048HighPylint/Pylint/Pylint/Too many local variables (20/15)
      Too many local variables (17/15)c:\users\eagle\downloads\numpy-master\numpy\core\records.py0465960472min 0s047HighPylint/Pylint/Pylint/Too many local variables (17/15)
      Too many local variables (18/15)c:\users\eagle\downloads\numpy-master\numpy\core\records.py0338060402min 0s040HighPylint/Pylint/Pylint/Too many local variables (18/15)
      Too many local variables (16/15)c:\users\eagle\downloads\numpy-master\numpy\core\setup.py0841080392min 0s039HighPylint/Pylint/Pylint/Too many local variables (16/15)
      Too many local variables (34/15)c:\users\eagle\downloads\numpy-master\numpy\core\setup.py0583930382min 0s038HighPylint/Pylint/Pylint/Too many local variables (34/15)
      Too many local variables (23/15)c:\users\eagle\downloads\numpy-master\numpy\core\_internal.py0485650432min 0s043HighPylint/Pylint/Pylint/Too many local variables (23/15)
      Too many local variables (21/15)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\genapi.py0741980422min 0s042HighPylint/Pylint/Pylint/Too many local variables (21/15)
      Too many local variables (29/15)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\generate_numpy_api.py0791570412min 0s041HighPylint/Pylint/Pylint/Too many local variables (29/15)
      Too many local variables (20/15)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\generate_ufunc_api.py0821370082min 0s008HighPylint/Pylint/Pylint/Too many local variables (20/15)
      Too many local variables (21/15)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\generate_umath.py0289850072min 0s007HighPylint/Pylint/Pylint/Too many local variables (21/15)
      Too many local variables (16/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_api.py098140062min 0s006HighPylint/Pylint/Pylint/Too many local variables (16/15)
      Too many local variables (16/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_dtype.py0426670112min 0s011HighPylint/Pylint/Pylint/Too many local variables (16/15)
      Too many local variables (16/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_einsum.py0662360102min 0s010HighPylint/Pylint/Pylint/Too many local variables (16/15)
      Too many local variables (25/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_indexing.py0367720092min 0s009HighPylint/Pylint/Pylint/Too many local variables (25/15)
      Too many local variables (16/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_item_selection.py099100022min 0s002HighPylint/Pylint/Pylint/Too many local variables (16/15)
      Too many local variables (17/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_mem_overlap.py088820012min 0s001HighPylint/Pylint/Pylint/Too many local variables (17/15)
      Too many local variables (17/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_mem_overlap.py0672340002min 0s000HighPylint/Pylint/Pylint/Too many local variables (17/15)
      Too many local variables (22/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_mem_overlap.py0456020052min 0s005HighPylint/Pylint/Pylint/Too many local variables (22/15)
      Too many local variables (16/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0151 9760042min 0s004HighPylint/Pylint/Pylint/Too many local variables (16/15)
      Too many local variables (19/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0112 4130032min 0s003HighPylint/Pylint/Pylint/Too many local variables (19/15)
      Too many local variables (18/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0063 1830122min 0s012HighPylint/Pylint/Pylint/Too many local variables (18/15)
      Too many local variables (18/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0053 4060212min 0s021HighPylint/Pylint/Pylint/Too many local variables (18/15)
      Too many local variables (24/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0015 8370202min 0s020HighPylint/Pylint/Pylint/Too many local variables (24/15)
      Too many local variables (17/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0006 0530192min 0s019HighPylint/Pylint/Pylint/Too many local variables (17/15)
      Too many local variables (18/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_nditer.py0142 1230242min 0s024HighPylint/Pylint/Pylint/Too many local variables (18/15)
      Too many local variables (17/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numeric.py0416840232min 0s023HighPylint/Pylint/Pylint/Too many local variables (17/15)
      Too many local variables (18/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_scalarmath.py0702210222min 0s022HighPylint/Pylint/Pylint/Too many local variables (18/15)
      Too many local variables (19/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_ufunc.py0299470152min 0s015HighPylint/Pylint/Pylint/Too many local variables (19/15)
      Too many local variables (17/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_ufunc.py0261 0280142min 0s014HighPylint/Pylint/Pylint/Too many local variables (17/15)
      Too many local variables (18/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0623030132min 0s013HighPylint/Pylint/Pylint/Too many local variables (18/15)
      Too many local variables (16/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0377580182min 0s018HighPylint/Pylint/Pylint/Too many local variables (16/15)
      Too many local variables (17/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0161 9230172min 0s017HighPylint/Pylint/Pylint/Too many local variables (17/15)
      Too many local variables (17/15)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0122 3750162min 0s016HighPylint/Pylint/Pylint/Too many local variables (17/15)
      Too many local variables (32/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\ccompiler.py0692250832min 0s083HighPylint/Pylint/Pylint/Too many local variables (32/15)
      Too many local variables (18/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\conv_template.py0781580822min 0s082HighPylint/Pylint/Pylint/Too many local variables (18/15)
      Too many local variables (21/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\conv_template.py0722110812min 0s081HighPylint/Pylint/Pylint/Too many local variables (21/15)
      Too many local variables (22/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\extension.py094330862min 0s086HighPylint/Pylint/Pylint/Too many local variables (22/15)
      Too many local variables (17/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\mingw32ccompiler.py0771650852min 0s085HighPylint/Pylint/Pylint/Too many local variables (17/15)
      Too many local variables (16/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py0387360842min 0s084HighPylint/Pylint/Pylint/Too many local variables (16/15)
      Too many local variables (17/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py0251 0380772min 0s077HighPylint/Pylint/Pylint/Too many local variables (17/15)
      Too many local variables (18/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py0211 4100762min 0s076HighPylint/Pylint/Pylint/Too many local variables (18/15)
      Too many local variables (16/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\system_info.py0357730752min 0s075HighPylint/Pylint/Pylint/Too many local variables (16/15)
      Too many local variables (25/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\system_info.py0231 2400802min 0s080HighPylint/Pylint/Pylint/Too many local variables (25/15)
      Too many local variables (20/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\system_info.py0191 4620792min 0s079HighPylint/Pylint/Pylint/Too many local variables (20/15)
      Too many local variables (18/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\unixccompiler.py097140782min 0s078HighPylint/Pylint/Pylint/Too many local variables (18/15)
      Too many local variables (36/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_clib.py0801460872min 0s087HighPylint/Pylint/Pylint/Too many local variables (36/15)
      Too many local variables (30/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_ext.py089800962min 0s096HighPylint/Pylint/Pylint/Too many local variables (30/15)
      Too many local variables (36/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_ext.py0642990952min 0s095HighPylint/Pylint/Pylint/Too many local variables (36/15)
      Too many local variables (28/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_src.py0534660942min 0s094HighPylint/Pylint/Pylint/Too many local variables (28/15)
      Too many local variables (26/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_src.py0446040992min 0s099HighPylint/Pylint/Pylint/Too many local variables (26/15)
      Too many local variables (17/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\config.py0564340982min 0s098HighPylint/Pylint/Pylint/Too many local variables (17/15)
      Too many local variables (19/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\fcompiler\gnu.py0574080972min 0s097HighPylint/Pylint/Pylint/Too many local variables (19/15)
      Too many local variables (26/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\fcompiler\__init__.py0554360902min 0s090HighPylint/Pylint/Pylint/Too many local variables (26/15)
      Too many local variables (18/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\fcompiler\__init__.py0475670892min 0s089HighPylint/Pylint/Pylint/Too many local variables (18/15)
      Too many local variables (21/15)c:\users\eagle\downloads\numpy-master\numpy\distutils\fcompiler\__init__.py0436400882min 0s088HighPylint/Pylint/Pylint/Too many local variables (21/15)
      Too many local variables (16/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\cb_rules.py0544490932min 0s093HighPylint/Pylint/Pylint/Too many local variables (16/15)
      Too many local variables (27/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\common_rules.py093490922min 0s092HighPylint/Pylint/Pylint/Too many local variables (27/15)
      Too many local variables (28/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0593280912min 0s091HighPylint/Pylint/Pylint/Too many local variables (28/15)
      Too many local variables (60/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0319020582min 0s058HighPylint/Pylint/Pylint/Too many local variables (60/15)
      Too many local variables (26/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0181 5350572min 0s057HighPylint/Pylint/Pylint/Too many local variables (26/15)
      Too many local variables (21/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0171 8790562min 0s056HighPylint/Pylint/Pylint/Too many local variables (21/15)
      Too many local variables (21/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0102 4140612min 0s061HighPylint/Pylint/Pylint/Too many local variables (21/15)
      Too many local variables (54/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0092 5250602min 0s060HighPylint/Pylint/Pylint/Too many local variables (54/15)
      Too many local variables (22/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0083 0040592min 0s059HighPylint/Pylint/Pylint/Too many local variables (22/15)
      Too many local variables (17/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0073 1270522min 0s052HighPylint/Pylint/Pylint/Too many local variables (17/15)
      Too many local variables (26/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\f2py2e.py0761780512min 0s051HighPylint/Pylint/Pylint/Too many local variables (26/15)
      Too many local variables (47/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\f2py2e.py0524960502min 0s050HighPylint/Pylint/Pylint/Too many local variables (47/15)
      Too many local variables (36/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\f90mod_rules.py087870552min 0s055HighPylint/Pylint/Pylint/Too many local variables (36/15)
      Too many local variables (23/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\func2subr.py091780542min 0s054HighPylint/Pylint/Pylint/Too many local variables (23/15)
      Too many local variables (20/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\func2subr.py0751840532min 0s053HighPylint/Pylint/Pylint/Too many local variables (20/15)
      Too many local variables (31/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\rules.py0241 1560622min 0s062HighPylint/Pylint/Pylint/Too many local variables (31/15)
      Too many local variables (18/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\rules.py0221 3370712min 0s071HighPylint/Pylint/Pylint/Too many local variables (18/15)
      Too many local variables (16/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\__init__.py095190702min 0s070HighPylint/Pylint/Pylint/Too many local variables (16/15)
      Too many local variables (19/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\tests\util.py086920692min 0s069HighPylint/Pylint/Pylint/Too many local variables (19/15)
      Too many local variables (18/15)c:\users\eagle\downloads\numpy-master\numpy\f2py\tests\util.py0652420742min 0s074HighPylint/Pylint/Pylint/Too many local variables (18/15)
      Too many local variables (16/15)c:\users\eagle\downloads\numpy-master\numpy\lib\arraypad.py0682330732min 0s073HighPylint/Pylint/Pylint/Too many local variables (16/15)
      Too many local variables (18/15)c:\users\eagle\downloads\numpy-master\numpy\lib\arraypad.py0632990722min 0s072HighPylint/Pylint/Pylint/Too many local variables (18/15)
      Too many local variables (31/15)c:\users\eagle\downloads\numpy-master\numpy\lib\arraypad.py0495330652min 0s065HighPylint/Pylint/Pylint/Too many local variables (31/15)
      Too many local variables (29/15)c:\users\eagle\downloads\numpy-master\numpy\lib\function_base.py0348030642min 0s064HighPylint/Pylint/Pylint/Too many local variables (29/15)
      Too many local variables (20/15)c:\users\eagle\downloads\numpy-master\numpy\lib\function_base.py0043 8730632min 0s063HighPylint/Pylint/Pylint/Too many local variables (20/15)
      Too many local variables (18/15)c:\users\eagle\downloads\numpy-master\numpy\lib\function_base.py0034 2370682min 0s068HighPylint/Pylint/Pylint/Too many local variables (18/15)
      Too many local variables (17/15)c:\users\eagle\downloads\numpy-master\numpy\lib\function_base.py0024 4220672min 0s067HighPylint/Pylint/Pylint/Too many local variables (17/15)
      Too many local variables (17/15)c:\users\eagle\downloads\numpy-master\numpy\lib\function_base.py0132 2010662min 0s066HighPylint/Pylint/Pylint/Too many local variables (17/15)

      Statistics

      Stat   FilePath   Line   Debt   Severity
      Sum:-137 8084h 56min-
      Average:-931.142min 0s-
      Minimum:-102min 0s-
      Maximum:-6 0532min 0s-
      Standard deviation:-1 1020min 0s-
      Variance:-1 215 1940min 0s-
      warning   Rule Violated:    Too many statements

      122 fields matched

      122 fieldsFilePathLineDebtSeverityFull Name
      Too many statements (166/50)c:\users\eagle\downloads\numpy-master\runtests.py096680332min 0s033HighPylint/Pylint/Pylint/Too many statements (166/50)
      Too many statements (75/50)c:\users\eagle\downloads\numpy-master\runtests.py0743270322min 0s032HighPylint/Pylint/Pylint/Too many statements (75/50)
      Too many statements (56/50)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0517180312min 0s031HighPylint/Pylint/Pylint/Too many statements (56/50)
      Too many statements (59/50)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0527090362min 0s036HighPylint/Pylint/Pylint/Too many statements (59/50)
      Too many statements (59/50)c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py0438630352min 0s035HighPylint/Pylint/Pylint/Too many statements (59/50)
      Too many statements (99/50)c:\users\eagle\downloads\numpy-master\numpy\core\einsumfunc.py0615220342min 0s034HighPylint/Pylint/Pylint/Too many statements (99/50)
      Too many statements (104/50)c:\users\eagle\downloads\numpy-master\numpy\core\einsumfunc.py0537020272min 0s027HighPylint/Pylint/Pylint/Too many statements (104/50)
      Too many statements (166/50)c:\users\eagle\downloads\numpy-master\numpy\core\machar.py0901160262min 0s026HighPylint/Pylint/Pylint/Too many statements (166/50)
      Too many statements (55/50)c:\users\eagle\downloads\numpy-master\numpy\core\memmap.py0812050252min 0s025HighPylint/Pylint/Pylint/Too many statements (55/50)
      Too many statements (53/50)c:\users\eagle\downloads\numpy-master\numpy\core\numeric.py0409140302min 0s030HighPylint/Pylint/Pylint/Too many statements (53/50)
      Too many statements (60/50)c:\users\eagle\downloads\numpy-master\numpy\core\numeric.py0271 4220292min 0s029HighPylint/Pylint/Pylint/Too many statements (60/50)
      Too many statements (61/50)c:\users\eagle\downloads\numpy-master\numpy\core\setup.py0772660282min 0s028HighPylint/Pylint/Pylint/Too many statements (61/50)
      Too many statements (60/50)c:\users\eagle\downloads\numpy-master\numpy\core\setup.py0674170372min 0s037HighPylint/Pylint/Pylint/Too many statements (60/50)
      Too many statements (196/50)c:\users\eagle\downloads\numpy-master\numpy\core\setup.py0683930462min 0s046HighPylint/Pylint/Pylint/Too many statements (196/50)
      Too many statements (84/50)c:\users\eagle\downloads\numpy-master\numpy\core\_internal.py0595650452min 0s045HighPylint/Pylint/Pylint/Too many statements (84/50)
      Too many statements (58/50)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\genapi.py0821980442min 0s044HighPylint/Pylint/Pylint/Too many statements (58/50)
      Too many statements (54/50)c:\users\eagle\downloads\numpy-master\numpy\core\code_generators\generate_umath.py0379850492min 0s049HighPylint/Pylint/Pylint/Too many statements (54/50)
      Too many statements (71/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_api.py098140482min 0s048HighPylint/Pylint/Pylint/Too many statements (71/50)
      Too many statements (75/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_api.py0861640472min 0s047HighPylint/Pylint/Pylint/Too many statements (75/50)
      Too many statements (55/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_api.py0693870402min 0s040HighPylint/Pylint/Pylint/Too many statements (55/50)
      Too many statements (94/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_einsum.py091970392min 0s039HighPylint/Pylint/Pylint/Too many statements (94/50)
      Too many statements (147/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_einsum.py0782360382min 0s038HighPylint/Pylint/Pylint/Too many statements (147/50)
      Too many statements (51/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_half.py0713720432min 0s043HighPylint/Pylint/Pylint/Too many statements (51/50)
      Too many statements (126/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_indexing.py0487720422min 0s042HighPylint/Pylint/Pylint/Too many statements (126/50)
      Too many statements (52/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_longdouble.py0871510412min 0s041HighPylint/Pylint/Pylint/Too many statements (52/50)
      Too many statements (54/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_mem_overlap.py0792340082min 0s008HighPylint/Pylint/Pylint/Too many statements (54/50)
      Too many statements (86/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0191 9760072min 0s007HighPylint/Pylint/Pylint/Too many statements (86/50)
      Too many statements (76/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0172 1190062min 0s006HighPylint/Pylint/Pylint/Too many statements (76/50)
      Too many statements (59/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0152 2620112min 0s011HighPylint/Pylint/Pylint/Too many statements (59/50)
      Too many statements (144/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0122 4130102min 0s010HighPylint/Pylint/Pylint/Too many statements (144/50)
      Too many statements (52/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0092 6290092min 0s009HighPylint/Pylint/Pylint/Too many statements (52/50)
      Too many statements (69/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0063 0760022min 0s002HighPylint/Pylint/Pylint/Too many statements (69/50)
      Too many statements (55/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0033 4060012min 0s001HighPylint/Pylint/Pylint/Too many statements (55/50)
      Too many statements (78/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_multiarray.py0043 3350002min 0s000HighPylint/Pylint/Pylint/Too many statements (78/50)
      Too many statements (63/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_nditer.py0331 1670052min 0s005HighPylint/Pylint/Pylint/Too many statements (63/50)
      Too many statements (52/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_nditer.py0231 8090042min 0s004HighPylint/Pylint/Pylint/Too many statements (52/50)
      Too many statements (110/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_nditer.py0211 8940032min 0s003HighPylint/Pylint/Pylint/Too many statements (110/50)
      Too many statements (59/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numeric.py0428720122min 0s012HighPylint/Pylint/Pylint/Too many statements (59/50)
      Too many statements (63/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_numeric.py0102 5310212min 0s021HighPylint/Pylint/Pylint/Too many statements (63/50)
      Too many statements (64/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_regression.py0399370202min 0s020HighPylint/Pylint/Pylint/Too many statements (64/50)
      Too many statements (62/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_regression.py0361 1290192min 0s019HighPylint/Pylint/Pylint/Too many statements (62/50)
      Too many statements (66/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_ufunc.py0546920242min 0s024HighPylint/Pylint/Pylint/Too many statements (66/50)
      Too many statements (64/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_ufunc.py0448390232min 0s023HighPylint/Pylint/Pylint/Too many statements (64/50)
      Too many statements (66/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_ufunc.py0241 6260222min 0s022HighPylint/Pylint/Pylint/Too many statements (66/50)
      Too many statements (53/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py092930152min 0s015HighPylint/Pylint/Pylint/Too many statements (53/50)
      Too many statements (86/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0201 9230142min 0s014HighPylint/Pylint/Pylint/Too many statements (86/50)
      Too many statements (97/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0182 0580132min 0s013HighPylint/Pylint/Pylint/Too many statements (97/50)
      Too many statements (138/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py0132 3710182min 0s018HighPylint/Pylint/Pylint/Too many statements (138/50)
      Too many statements (89/50)c:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath_complex.py0891420172min 0s017HighPylint/Pylint/Pylint/Too many statements (89/50)
      Too many statements (61/50)c:\users\eagle\downloads\numpy-master\numpy\distutils\ccompiler.py0802250162min 0s016HighPylint/Pylint/Pylint/Too many statements (61/50)
      Too many statements (53/50)c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py0507360832min 0s083HighPylint/Pylint/Pylint/Too many statements (53/50)
      Too many statements (51/50)c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py0321 1680822min 0s082HighPylint/Pylint/Pylint/Too many statements (51/50)
      Too many statements (64/50)c:\users\eagle\downloads\numpy-master\numpy\distutils\system_info.py0301 2400812min 0s081HighPylint/Pylint/Pylint/Too many statements (64/50)
      Too many statements (54/50)c:\users\eagle\downloads\numpy-master\numpy\distutils\system_info.py0082 7020862min 0s086HighPylint/Pylint/Pylint/Too many statements (54/50)
      Too many statements (107/50)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_clib.py0881460852min 0s085HighPylint/Pylint/Pylint/Too many statements (107/50)
      Too many statements (133/50)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_ext.py094800842min 0s084HighPylint/Pylint/Pylint/Too many statements (133/50)
      Too many statements (105/50)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_ext.py0762990772min 0s077HighPylint/Pylint/Pylint/Too many statements (105/50)
      Too many statements (103/50)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_src.py0644660762min 0s076HighPylint/Pylint/Pylint/Too many statements (103/50)
      Too many statements (82/50)c:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_src.py0586040752min 0s075HighPylint/Pylint/Pylint/Too many statements (82/50)
      Too many statements (66/50)c:\users\eagle\downloads\numpy-master\numpy\distutils\fcompiler\__init__.py0664360802min 0s080HighPylint/Pylint/Pylint/Too many statements (66/50)
      Too many statements (51/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\auxfuncs.py0467930792min 0s079HighPylint/Pylint/Pylint/Too many statements (51/50)
      Too many statements (58/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\capi_maps.py0703810782min 0s078HighPylint/Pylint/Pylint/Too many statements (58/50)
      Too many statements (70/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\capi_maps.py0625080872min 0s087HighPylint/Pylint/Pylint/Too many statements (70/50)
      Too many statements (54/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\capi_maps.py0576120962min 0s096HighPylint/Pylint/Pylint/Too many statements (54/50)
      Too many statements (58/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\capi_maps.py0497390952min 0s095HighPylint/Pylint/Pylint/Too many statements (58/50)
      Too many statements (83/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\cb_rules.py0654490942min 0s094HighPylint/Pylint/Pylint/Too many statements (83/50)
      Too many statements (52/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\cfuncs.py0341 1640992min 0s099HighPylint/Pylint/Pylint/Too many statements (52/50)
      Too many statements (76/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\common_rules.py097490982min 0s098HighPylint/Pylint/Pylint/Too many statements (76/50)
      Too many statements (169/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0733280972min 0s097HighPylint/Pylint/Pylint/Too many statements (169/50)
      Too many statements (103/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0566420902min 0s090HighPylint/Pylint/Pylint/Too many statements (103/50)
      Too many statements (457/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0419020892min 0s089HighPylint/Pylint/Pylint/Too many statements (457/50)
      Too many statements (118/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0261 5350882min 0s088HighPylint/Pylint/Pylint/Too many statements (118/50)
      Too many statements (73/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0221 8790932min 0s093HighPylint/Pylint/Pylint/Too many statements (73/50)
      Too many statements (130/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0162 1680922min 0s092HighPylint/Pylint/Pylint/Too many statements (130/50)
      Too many statements (291/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0112 5250912min 0s091HighPylint/Pylint/Pylint/Too many statements (291/50)
      Too many statements (59/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0073 0040582min 0s058HighPylint/Pylint/Pylint/Too many statements (59/50)
      Too many statements (101/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\crackfortran.py0053 1270572min 0s057HighPylint/Pylint/Pylint/Too many statements (101/50)
      Too many statements (122/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\diagnose.py099130562min 0s056HighPylint/Pylint/Pylint/Too many statements (122/50)
      Too many statements (138/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\f2py2e.py0851780612min 0s061HighPylint/Pylint/Pylint/Too many statements (138/50)
      Too many statements (125/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\f2py2e.py0634960602min 0s060HighPylint/Pylint/Pylint/Too many statements (125/50)
      Too many statements (140/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\f90mod_rules.py093870592min 0s059HighPylint/Pylint/Pylint/Too many statements (140/50)
      Too many statements (83/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\func2subr.py095780522min 0s052HighPylint/Pylint/Pylint/Too many statements (83/50)
      Too many statements (58/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\func2subr.py0841840512min 0s051HighPylint/Pylint/Pylint/Too many statements (58/50)
      Too many statements (136/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\rules.py0351 1560502min 0s050HighPylint/Pylint/Pylint/Too many statements (136/50)
      Too many statements (86/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\rules.py0291 3370552min 0s055HighPylint/Pylint/Pylint/Too many statements (86/50)
      Too many statements (55/50)c:\users\eagle\downloads\numpy-master\numpy\f2py\tests\test_array_from_pyobj.py0831950542min 0s054HighPylint/Pylint/Pylint/Too many statements (55/50)
      Too many statements (62/50)c:\users\eagle\downloads\numpy-master\numpy\lib\arraypad.py0605330532min 0s053HighPylint/Pylint/Pylint/Too many statements (62/50)
      Too many statements (118/50)c:\users\eagle\downloads\numpy-master\numpy\lib\function_base.py0458030622min 0s062HighPylint/Pylint/Pylint/Too many statements (118/50)
      Too many statements (71/50)c:\users\eagle\downloads\numpy-master\numpy\lib\function_base.py0142 2710712min 0s071HighPylint/Pylint/Pylint/Too many statements (71/50)
      Too many statements (90/50)c:\users\eagle\downloads\numpy-master\numpy\lib\function_base.py0023 8730702min 0s070HighPylint/Pylint/Pylint/Too many statements (90/50)
      Too many statements (87/50)c:\users\eagle\downloads\numpy-master\numpy\lib\function_base.py0014 2370692min 0s069HighPylint/Pylint/Pylint/Too many statements (87/50)
      Too many statements (66/50)c:\users\eagle\downloads\numpy-master\numpy\lib\function_base.py0004 4220742min 0s074HighPylint/Pylint/Pylint/Too many statements (66/50)
      Too many statements (65/50)c:\users\eagle\downloads\numpy-master\numpy\lib\histograms.py0556780732min 0s073HighPylint/Pylint/Pylint/Too many statements (65/50)
      Too many statements (62/50)c:\users\eagle\downloads\numpy-master\numpy\lib\histograms.py0389430722min 0s072HighPylint/Pylint/Pylint/Too many statements (62/50)
      Too many statements (81/50)c:\users\eagle\downloads\numpy-master\numpy\lib\index_tricks.py0753160652min 0s065HighPylint/Pylint/Pylint/Too many statements (81/50)
      Too many statements (155/50)c:\users\eagle\downloads\numpy-master\numpy\lib\npyio.py0477920642min 0s064HighPylint/Pylint/Pylint/Too many statements (155/50)
      Too many statements (86/50)c:\users\eagle\downloads\numpy-master\numpy\lib\npyio.py0311 1920632min 0s063HighPylint/Pylint/Pylint/Too many statements (86/50)
      Too many statements (317/50)c:\users\eagle\downloads\numpy-master\numpy\lib\npyio.py0251 5390682min 0s068HighPylint/Pylint/Pylint/Too many statements (317/50)
      Too many statements (65/50)c:\users\eagle\downloads\numpy-master\numpy\lib\recfunctions.py0723700672min 0s067HighPylint/Pylint/Pylint/Too many statements (65/50)
      Too many statements (79/50)c:\users\eagle\downloads\numpy-master\numpy\lib\recfunctions.py0281 3960662min 0s066HighPylint/Pylint/Pylint/Too many statements (79/50)

      Statistics

      Stat   FilePath   Line   Debt   Severity
      Sum:-125 6114h 4min-
      Average:-1 0302min 0s-
      Minimum:-132min 0s-
      Maximum:-4 4222min 0s-
      Standard deviation:-973.630min 0s-
      Variance:-947 9650min 0s-
      warning   Rule Violated:    Too many boolean expressions in if statement

      3 fields matched

      • Formatting: bold means added, underlined means code was changed, strike-bold means removed (since baseline)
      3 fieldsFilePathLineDebtSeverityFull Name
      Too many boolean expressions in if statement (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\defchararray.py02 71902min 0s0HighPylint/Pylint/Pylint/Too many boolean expressions in if statement (6/5)
      Too many boolean expressions in if statement (6/5)c:\users\eagle\downloads\numpy-master\numpy\core\overrides.py27712min 0s1HighPylint/Pylint/Pylint/Too many boolean expressions in if statement (6/5)
      Too many boolean expressions in if statement (7/5)c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py133322min 0s2HighPylint/Pylint/Pylint/Too many boolean expressions in if statement (7/5)

      Statistics

      Stat   FilePath   Line   Debt   Severity
      Sum:-3 1296min-
      Average:-1 0432min 0s-
      Minimum:-772min 0s-
      Maximum:-2 7192min 0s-
      Standard deviation:-1 1900min 0s-
      Variance:-1 415 4110min 0s-

      8020This group contains children groups
      Pep8  

        010
        Naming Convention  

        warning   Rule Violated:    Naming convention

        14,782 fields matched

        14 782 fieldsFilePathLineDebtSeverityFull Name
        Class name "concat_license_files" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\setup.py0211950332min 0s033HighPylint/Pylint/Pylint/Class name "concat_license_files" doesn't conform to PascalCase naming style
        Class name "sdist_checked" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\setup.py0182230322min 0s032HighPylint/Pylint/Pylint/Class name "sdist_checked" doesn't conform to PascalCase naming style
        Class name "AVX_UFunc" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\bench_avx.py094200312min 0s031HighPylint/Pylint/Pylint/Class name "AVX_UFunc" doesn't conform to PascalCase naming style
        Class name "AVX_BFunc" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\bench_avx.py082400362min 0s036HighPylint/Pylint/Pylint/Class name "AVX_BFunc" doesn't conform to PascalCase naming style
        Class name "AVX_cmplx_arithmetic" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\bench_avx.py065660352min 0s035HighPylint/Pylint/Pylint/Class name "AVX_cmplx_arithmetic" doesn't conform to PascalCase naming style
        Class name "AVX_cmplx_funcs" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\bench_avx.py055890342min 0s034HighPylint/Pylint/Pylint/Class name "AVX_cmplx_funcs" doesn't conform to PascalCase naming style
        Class name "Randint_dtype" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\bench_random.py075460272min 0s027HighPylint/Pylint/Pylint/Class name "Randint_dtype" doesn't conform to PascalCase naming style
        Constant name "nom_size" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\benchmarks\benchmarks\bench_random.py057870262min 0s026HighPylint/Pylint/Pylint/Constant name "nom_size" doesn't conform to UPPER_CASE naming style
        Constant name "source_suffix" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py078450252min 0s025HighPylint/Pylint/Pylint/Constant name "source_suffix" doesn't conform to UPPER_CASE naming style
        Constant name "master_doc" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py074480302min 0s030HighPylint/Pylint/Pylint/Constant name "master_doc" doesn't conform to UPPER_CASE naming style
        Constant name "project" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py073510292min 0s029HighPylint/Pylint/Pylint/Constant name "project" doesn't conform to UPPER_CASE naming style
        Constant name "copyright" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py072520282min 0s028HighPylint/Pylint/Pylint/Constant name "copyright" doesn't conform to UPPER_CASE naming style
        Constant name "author" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py071530372min 0s037HighPylint/Pylint/Pylint/Constant name "author" doesn't conform to UPPER_CASE naming style
        Constant name "version" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py070600462min 0s046HighPylint/Pylint/Pylint/Constant name "version" doesn't conform to UPPER_CASE naming style
        Constant name "release" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py069620452min 0s045HighPylint/Pylint/Pylint/Constant name "release" doesn't conform to UPPER_CASE naming style
        Constant name "language" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py063690442min 0s044HighPylint/Pylint/Pylint/Constant name "language" doesn't conform to UPPER_CASE naming style
        Constant name "pygments_style" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py061770492min 0s049HighPylint/Pylint/Pylint/Constant name "pygments_style" doesn't conform to UPPER_CASE naming style
        Constant name "todo_include_todos" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py060800482min 0s048HighPylint/Pylint/Pylint/Constant name "todo_include_todos" doesn't conform to UPPER_CASE naming style
        Constant name "html_theme" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py0501220472min 0s047HighPylint/Pylint/Pylint/Constant name "html_theme" doesn't conform to UPPER_CASE naming style
        Constant name "html_title" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py0351490402min 0s040HighPylint/Pylint/Pylint/Constant name "html_title" doesn't conform to UPPER_CASE naming style
        Constant name "html_last_updated_fmt" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py0341510392min 0s039HighPylint/Pylint/Pylint/Constant name "html_last_updated_fmt" doesn't conform to UPPER_CASE naming style
        Constant name "html_use_modindex" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py0331530382min 0s038HighPylint/Pylint/Pylint/Constant name "html_use_modindex" doesn't conform to UPPER_CASE naming style
        Constant name "html_copy_source" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py0321540432min 0s043HighPylint/Pylint/Pylint/Constant name "html_copy_source" doesn't conform to UPPER_CASE naming style
        Constant name "html_domain_indices" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py0311550422min 0s042HighPylint/Pylint/Pylint/Constant name "html_domain_indices" doesn't conform to UPPER_CASE naming style
        Constant name "html_file_suffix" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py0301560412min 0s041HighPylint/Pylint/Pylint/Constant name "html_file_suffix" doesn't conform to UPPER_CASE naming style
        Constant name "htmlhelp_basename" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py0291580082min 0s008HighPylint/Pylint/Pylint/Constant name "htmlhelp_basename" doesn't conform to UPPER_CASE naming style
        Constant name "pngmath_use_preview" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py0271610072min 0s007HighPylint/Pylint/Pylint/Constant name "pngmath_use_preview" doesn't conform to UPPER_CASE naming style
        Constant name "plot_html_show_formats" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py0261640062min 0s006HighPylint/Pylint/Pylint/Constant name "plot_html_show_formats" doesn't conform to UPPER_CASE naming style
        Constant name "plot_html_show_source_link" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py0251650112min 0s011HighPylint/Pylint/Pylint/Constant name "plot_html_show_source_link" doesn't conform to UPPER_CASE naming style
        Constant name "htmlhelp_basename" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\conf.py0241720102min 0s010HighPylint/Pylint/Pylint/Constant name "htmlhelp_basename" doesn't conform to UPPER_CASE naming style
        Module name "nep-0016-benchmark" doesn't conform to snake_case naming stylec:\users\eagle\downloads\numpy-master\doc\neps\nep-0016-benchmark.py09910092min 0s009HighPylint/Pylint/Pylint/Module name "nep-0016-benchmark" doesn't conform to snake_case naming style
        Constant name "infile" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\tools\build_index.py0531010022min 0s002HighPylint/Pylint/Pylint/Constant name "infile" doesn't conform to UPPER_CASE naming style
        Constant name "outfile" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\neps\tools\build_index.py0511020012min 0s001HighPylint/Pylint/Pylint/Constant name "outfile" doesn't conform to UPPER_CASE naming style
        Constant name "needs_sphinx" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py09870002min 0s000HighPylint/Pylint/Pylint/Constant name "needs_sphinx" doesn't conform to UPPER_CASE naming style
        Constant name "imgmath_image_format" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py088330052min 0s005HighPylint/Pylint/Pylint/Constant name "imgmath_image_format" doesn't conform to UPPER_CASE naming style
        Constant name "source_suffix" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py083390042min 0s004HighPylint/Pylint/Pylint/Constant name "source_suffix" doesn't conform to UPPER_CASE naming style
        Constant name "master_doc" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py081410032min 0s003HighPylint/Pylint/Pylint/Constant name "master_doc" doesn't conform to UPPER_CASE naming style
        Constant name "project" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py079440122min 0s012HighPylint/Pylint/Pylint/Constant name "project" doesn't conform to UPPER_CASE naming style
        Constant name "copyright" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py077450212min 0s021HighPylint/Pylint/Pylint/Constant name "copyright" doesn't conform to UPPER_CASE naming style
        Constant name "today_fmt" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py067620202min 0s020HighPylint/Pylint/Pylint/Constant name "today_fmt" doesn't conform to UPPER_CASE naming style
        Constant name "default_role" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py064680192min 0s019HighPylint/Pylint/Pylint/Constant name "default_role" doesn't conform to UPPER_CASE naming style
        Constant name "add_function_parentheses" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py062750242min 0s024HighPylint/Pylint/Pylint/Constant name "add_function_parentheses" doesn't conform to UPPER_CASE naming style
        Constant name "pygments_style" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py058860232min 0s023HighPylint/Pylint/Pylint/Constant name "pygments_style" doesn't conform to UPPER_CASE naming style
        Constant name "html_theme" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0521020222min 0s022HighPylint/Pylint/Pylint/Constant name "html_theme" doesn't conform to UPPER_CASE naming style
        Constant name "html_last_updated_fmt" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0481320152min 0s015HighPylint/Pylint/Pylint/Constant name "html_last_updated_fmt" doesn't conform to UPPER_CASE naming style
        Constant name "html_use_modindex" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0471340142min 0s014HighPylint/Pylint/Pylint/Constant name "html_use_modindex" doesn't conform to UPPER_CASE naming style
        Constant name "html_copy_source" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0461350132min 0s013HighPylint/Pylint/Pylint/Constant name "html_copy_source" doesn't conform to UPPER_CASE naming style
        Constant name "html_domain_indices" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0451360182min 0s018HighPylint/Pylint/Pylint/Constant name "html_domain_indices" doesn't conform to UPPER_CASE naming style
        Constant name "html_file_suffix" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0441370172min 0s017HighPylint/Pylint/Pylint/Constant name "html_file_suffix" doesn't conform to UPPER_CASE naming style
        Constant name "htmlhelp_basename" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0421390162min 0s016HighPylint/Pylint/Pylint/Constant name "htmlhelp_basename" doesn't conform to UPPER_CASE naming style
        Constant name "pngmath_use_preview" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0401420832min 0s083HighPylint/Pylint/Pylint/Constant name "pngmath_use_preview" doesn't conform to UPPER_CASE naming style
        Constant name "plot_html_show_formats" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0381450822min 0s082HighPylint/Pylint/Pylint/Constant name "plot_html_show_formats" doesn't conform to UPPER_CASE naming style
        Constant name "plot_html_show_source_link" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0371460812min 0s081HighPylint/Pylint/Pylint/Constant name "plot_html_show_source_link" doesn't conform to UPPER_CASE naming style
        Constant name "_stdauthor" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0281600862min 0s086HighPylint/Pylint/Pylint/Constant name "_stdauthor" doesn't conform to UPPER_CASE naming style
        Constant name "latex_use_modindex" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0192210852min 0s085HighPylint/Pylint/Pylint/Constant name "latex_use_modindex" doesn't conform to UPPER_CASE naming style
        Constant name "phantom_import_file" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0162530842min 0s084HighPylint/Pylint/Pylint/Constant name "phantom_import_file" doesn't conform to UPPER_CASE naming style
        Constant name "numpydoc_use_plots" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0152560772min 0s077HighPylint/Pylint/Pylint/Constant name "numpydoc_use_plots" doesn't conform to UPPER_CASE naming style
        Constant name "autosummary_generate" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0142620762min 0s076HighPylint/Pylint/Pylint/Constant name "autosummary_generate" doesn't conform to UPPER_CASE naming style
        Constant name "plot_pre_code" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0072840752min 0s075HighPylint/Pylint/Pylint/Constant name "plot_pre_code" doesn't conform to UPPER_CASE naming style
        Constant name "plot_include_source" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\conf.py0062880802min 0s080HighPylint/Pylint/Pylint/Constant name "plot_include_source" doesn't conform to UPPER_CASE naming style
        Constant name "integers" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\reference\random\performance.py097120792min 0s079HighPylint/Pylint/Pylint/Constant name "integers" doesn't conform to UPPER_CASE naming style
        Constant name "setup" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\reference\random\performance.py092230782min 0s078HighPylint/Pylint/Pylint/Constant name "setup" doesn't conform to UPPER_CASE naming style
        Constant name "test" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\reference\random\performance.py090280872min 0s087HighPylint/Pylint/Pylint/Constant name "test" doesn't conform to UPPER_CASE naming style
        Constant name "setup" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\doc\source\reference\random\performance.py076450962min 0s096HighPylint/Pylint/Pylint/Constant name "setup" doesn't conform to UPPER_CASE naming style
        Constant name "_old_fpu_mode" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\numpy\conftest.py096130952min 0s095HighPylint/Pylint/Pylint/Constant name "_old_fpu_mode" doesn't conform to UPPER_CASE naming style
        Class name "_ndptr_base" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\numpy\ctypeslib.py059840942min 0s094HighPylint/Pylint/Pylint/Class name "_ndptr_base" doesn't conform to PascalCase naming style
        Class name "_ndptr_base" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\numpy\ctypeslib.py054890992min 0s099HighPylint/Pylint/Pylint/Class name "_ndptr_base" doesn't conform to PascalCase naming style
        Variable name "ln" doesn't conform to snake_case naming stylec:\users\eagle\downloads\numpy-master\numpy\ctypeslib.py0361470982min 0s098HighPylint/Pylint/Pylint/Variable name "ln" doesn't conform to snake_case naming style
        Class name "_concrete_ndptr" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\numpy\ctypeslib.py0201990972min 0s097HighPylint/Pylint/Pylint/Class name "_concrete_ndptr" doesn't conform to PascalCase naming style
        Constant name "_is_loaded" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\numpy\_globals.py091270902min 0s090HighPylint/Pylint/Pylint/Constant name "_is_loaded" doesn't conform to UPPER_CASE naming style
        Constant name "msg" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\numpy\__init__.py0491260892min 0s089HighPylint/Pylint/Pylint/Constant name "msg" doesn't conform to UPPER_CASE naming style
        Constant name "oldnumeric" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\numpy\__init__.py0231930882min 0s088HighPylint/Pylint/Pylint/Constant name "oldnumeric" doesn't conform to UPPER_CASE naming style
        Constant name "numarray" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\numpy\__init__.py0221940932min 0s093HighPylint/Pylint/Pylint/Constant name "numarray" doesn't conform to UPPER_CASE naming style
        Variable name "x" doesn't conform to snake_case naming stylec:\users\eagle\downloads\numpy-master\numpy\__init__.py0172430922min 0s092HighPylint/Pylint/Pylint/Variable name "x" doesn't conform to snake_case naming style
        Variable name "c" doesn't conform to snake_case naming stylec:\users\eagle\downloads\numpy-master\numpy\__init__.py0132630912min 0s091HighPylint/Pylint/Pylint/Variable name "c" doesn't conform to snake_case naming style
        Variable name "x" doesn't conform to snake_case naming stylec:\users\eagle\downloads\numpy-master\numpy\__init__.py0122640582min 0s058HighPylint/Pylint/Pylint/Variable name "x" doesn't conform to snake_case naming style
        Variable name "y" doesn't conform to snake_case naming stylec:\users\eagle\downloads\numpy-master\numpy\__init__.py0112650572min 0s057HighPylint/Pylint/Pylint/Variable name "y" doesn't conform to snake_case naming style
        Constant name "error_message" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\numpy\__init__.py0102750562min 0s056HighPylint/Pylint/Pylint/Constant name "error_message" doesn't conform to UPPER_CASE naming style
        Constant name "error_message" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\numpy\__init__.py0092770612min 0s061HighPylint/Pylint/Pylint/Constant name "error_message" doesn't conform to UPPER_CASE naming style
        Constant name "msg" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\numpy\__init__.py0082780602min 0s060HighPylint/Pylint/Pylint/Constant name "msg" doesn't conform to UPPER_CASE naming style
        Constant name "use_hugepage" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\numpy\__init__.py0042960592min 0s059HighPylint/Pylint/Pylint/Constant name "use_hugepage" doesn't conform to UPPER_CASE naming style
        Constant name "use_hugepage" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\numpy\__init__.py0033000522min 0s052HighPylint/Pylint/Pylint/Constant name "use_hugepage" doesn't conform to UPPER_CASE naming style
        Constant name "use_hugepage" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\numpy\__init__.py0023030512min 0s051HighPylint/Pylint/Pylint/Constant name "use_hugepage" doesn't conform to UPPER_CASE naming style
        Class name "long" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\numpy\compat\py3k.py089320502min 0s050HighPylint/Pylint/Pylint/Class name "long" doesn't conform to PascalCase naming style
        Class name "basestring" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\numpy\compat\py3k.py086340552min 0s055HighPylint/Pylint/Pylint/Class name "basestring" doesn't conform to PascalCase naming style
        Class name "unicode" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\numpy\compat\py3k.py085350542min 0s054HighPylint/Pylint/Pylint/Class name "unicode" doesn't conform to PascalCase naming style
        Class name "bytes" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\numpy\compat\py3k.py084360532min 0s053HighPylint/Pylint/Pylint/Class name "bytes" doesn't conform to PascalCase naming style
        Constant name "strchar" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\numpy\compat\py3k.py068620622min 0s062HighPylint/Pylint/Pylint/Constant name "strchar" doesn't conform to UPPER_CASE naming style
        Class name "contextlib_nullcontext" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\numpy\compat\py3k.py056880712min 0s071HighPylint/Pylint/Pylint/Class name "contextlib_nullcontext" doesn't conform to PascalCase naming style
        Class name "os_PathLike" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\numpy\compat\py3k.py0431380702min 0s070HighPylint/Pylint/Pylint/Class name "os_PathLike" doesn't conform to PascalCase naming style
        Function name "_PurePath__fspath__" doesn't conform to snake_case naming stylec:\users\eagle\downloads\numpy-master\numpy\compat\py3k.py0411400692min 0s069HighPylint/Pylint/Pylint/Function name "_PurePath__fspath__" doesn't conform to snake_case naming style
        Class name "os_PathLike" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\numpy\compat\py3k.py0391430742min 0s074HighPylint/Pylint/Pylint/Class name "os_PathLike" doesn't conform to PascalCase naming style
        Constant name "_globalvar" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\numpy\core\defchararray.py080430732min 0s073HighPylint/Pylint/Pylint/Constant name "_globalvar" doesn't conform to UPPER_CASE naming style
        Class name "chararray" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\numpy\core\defchararray.py0001 8060722min 0s072HighPylint/Pylint/Pylint/Class name "chararray" doesn't conform to PascalCase naming style
        Constant name "einsum_symbols" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\numpy\core\einsumfunc.py095130652min 0s065HighPylint/Pylint/Pylint/Constant name "einsum_symbols" doesn't conform to UPPER_CASE naming style
        Constant name "_title_fmt" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\numpy\core\getlimits.py066660642min 0s064HighPylint/Pylint/Pylint/Constant name "_title_fmt" doesn't conform to UPPER_CASE naming style
        Class name "finfo" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\numpy\core\getlimits.py0052920632min 0s063HighPylint/Pylint/Pylint/Class name "finfo" doesn't conform to PascalCase naming style
        Class name "iinfo" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\numpy\core\getlimits.py0014460682min 0s068HighPylint/Pylint/Pylint/Class name "iinfo" doesn't conform to PascalCase naming style
        Class name "memmap" doesn't conform to PascalCase naming stylec:\users\eagle\downloads\numpy-master\numpy\core\memmap.py093230672min 0s067HighPylint/Pylint/Pylint/Class name "memmap" doesn't conform to PascalCase naming style
        Constant name "newaxis" doesn't conform to UPPER_CASE naming stylec:\users\eagle\downloads\numpy-master\numpy\core\numeric.py087340662min 0s066HighPylint/Pylint/Pylint/Constant name "newaxis" doesn't conform to UPPER_CASE naming style

        Statistics

        Stat   FilePath   Line   Debt   Severity
        Sum:-18 620 46061d-
        Average:-1 2602min 0s-
        Minimum:-12min 0s-
        Maximum:-8 4222min 0s-
        Standard deviation:-1 5610min 0s-
        Variance:-2 437 2500min 0s-

        2410
        Whitespace  

        warning   Rule Violated:    Block comment should start with ‘# ‘

        10 fields matched

        • Formatting: bold means added, underlined means code was changed, strike-bold means removed (since baseline)
        10 fieldsFilePathLineDebtSeverityFull Name
        block comment should start with '# 'c:\users\eagle\downloads\numpy-master\pavement.py0935032min 0s03Highpycodestyle/pycodestyle/pycodestyle/bloc k comment should start with '# '
        block comment should start with '# 'c:\users\eagle\downloads\numpy-master\pavement.py0837042min 0s04Highpycodestyle/pycodestyle/pycodestyle/bloc k comment should start with '# '
        block comment should start with '# 'c:\users\eagle\downloads\numpy-master\pavement.py0743022min 0s02Highpycodestyle/pycodestyle/pycodestyle/bloc k comment should start with '# '
        block comment should start with '# 'c:\users\eagle\downloads\numpy-master\pavement.py0645002min 0s00Highpycodestyle/pycodestyle/pycodestyle/bloc k comment should start with '# '
        block comment should start with '# 'c:\users\eagle\downloads\numpy-master\pavement.py0552012min 0s01Highpycodestyle/pycodestyle/pycodestyle/bloc k comment should start with '# '
        block comment should start with '# 'c:\users\eagle\downloads\numpy-master\pavement.py0454082min 0s08Highpycodestyle/pycodestyle/pycodestyle/bloc k comment should start with '# '
        block comment should start with '# 'c:\users\eagle\downloads\numpy-master\pavement.py0375092min 0s09Highpycodestyle/pycodestyle/pycodestyle/bloc k comment should start with '# '
        block comment should start with '# 'c:\users\eagle\downloads\numpy-master\pavement.py0277072min 0s07Highpycodestyle/pycodestyle/pycodestyle/bloc k comment should start with '# '
        block comment should start with '# 'c:\users\eagle\downloads\numpy-master\pavement.py01128052min 0s05Highpycodestyle/pycodestyle/pycodestyle/bloc k comment should start with '# '
        block comment should start with '# 'c:\users\eagle\downloads\numpy-master\pavement.py00130062min 0s06Highpycodestyle/pycodestyle/pycodestyle/bloc k comment should start with '# '

        Statistics

        Stat   FilePath   Line   Debt   Severity
        Sum:-67620min-
        Average:-67.62min 0s-
        Minimum:-352min 0s-
        Maximum:-1302min 0s-
        Standard deviation:-33.510min 0s-
        Variance:-1 1230min 0s-

        13180
        Classes  

        warning   Rule Violated:    Consider using enumerate instead of iterating with range and len

        35 fields matched

        • Formatting: bold means added, underlined means code was changed, strike-bold means removed (since baseline)
        35 fieldsFilePathLineDebtSeverityFull Name
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\distutils\command\build_clib.py3419112min 0s11HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\compat\_inspect.py26157122min 0s12HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\core\records.py09684092min 0s09HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\core\tests\test_nditer.py022 414102min 0s10HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\core\tests\test_nditer.py012 472152min 0s15HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\core\tests\test_records.py3190162min 0s16HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\core\tests\test_records.py24233132min 0s13HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath_complex.py23273142min 0s14HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\distutils\from_template.py30108082min 0s08HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\distutils\mingw32ccompiler.py22290022min 0s02HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py29118032min 0s03HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\f2py\capi_maps.py19340002min 0s00HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\f2py\f2py2e.py17366012min 0s01HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\f2py\f2py2e.py16378062min 0s06HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\f2py\f2py2e.py14436072min 0s07HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\f2py\f2py2e.py13442042min 0s04HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\f2py\f2py2e.py12455052min 0s05HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\f2py\f2py2e.py10613172min 0s17HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\lib\function_base.py08685292min 0s29HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\lib\index_tricks.py27150302min 0s30HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\lib\polynomial.py28149272min 0s27HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\lib\polynomial.py04733282min 0s28HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\lib\polynomial.py031 206332min 0s33HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\lib\shape_base.py05725342min 0s34HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\lib\utils.py21330312min 0s31HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\lib\utils.py18348322min 0s32HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\lib\tests\test_arraysetops.py11599262min 0s26HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\lib\tests\test_function_base.py002 622202min 0s20HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\lib\tests\test_shape_base.py07716212min 0s21HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\lib\tests\test_shape_base.py15426182min 0s18HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\ma\testutils.py3288192min 0s19HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\ma\testutils.py25163242min 0s24HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\polynomial\tests\test_polyutils.py3326252min 0s25HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\numpy\testing\_private\utils.py20336222min 0s22HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len
        Consider using enumerate instead of iterating with range and lenc:\users\eagle\downloads\numpy-master\tools\npy_tempita\__init__.py06718232min 0s23HighPylint/Pylint/Pylint/Consider using enumerate instead of iterating with range and len

        Statistics

        Stat   FilePath   Line   Debt   Severity
        Sum:-19 9081h 10min-
        Average:-568.82min 0s-
        Minimum:-192min 0s-
        Maximum:-2 6222min 0s-
        Standard deviation:-645.140min 0s-
        Variance:-416 2050min 0s-
        warning   Rule Violated:    Consider iterating the dictionary directly instead of calling .keys()

        18 fields matched

        • Formatting: bold means added, underlined means code was changed, strike-bold means removed (since baseline)
        18 fieldsFilePathLineDebtSeverityFull Name
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\setup.py12385062min 0s06HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\dual.py1768052min 0s05HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py11389082min 0s08HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\core\arrayprint.py10403072min 0s07HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\distutils\from_template.py14141042min 0s04HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py07793012min 0s01HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\distutils\misc_util.py001 747002min 0s00HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\distutils\npy_pkg_config.py13181032min 0s03HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\f2py\cb_rules.py08558022min 0s02HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\f2py\cfuncs.py061 151152min 0s15HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\f2py\cfuncs.py051 201142min 0s14HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\f2py\cfuncs.py041 206172min 0s17HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\f2py\cfuncs.py031 217162min 0s16HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\f2py\cfuncs.py011 234132min 0s13HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\f2py\f2py2e.py09468102min 0s10HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\f2py\rules.py021 220092min 0s09HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\f2py\use_rules.py1683122min 0s12HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()
        Consider iterating the dictionary directly instead of calling .keys()c:\users\eagle\downloads\numpy-master\numpy\f2py\use_rules.py15105112min 0s11HighPylint/Pylint/Pylint/Consider iterating the dictionary directly instead of calling .keys()

        Statistics

        Stat   FilePath   Line   Debt   Severity
        Sum:-12 55036min-
        Average:-697.222min 0s-
        Minimum:-682min 0s-
        Maximum:-1 7472min 0s-
        Standard deviation:-511.650min 0s-
        Variance:-261 7850min 0s-
        warning   Rule Violated:    Class method should have a valid first argument

        6 fields matched

        • Formatting: bold means added, underlined means code was changed, strike-bold means removed (since baseline)
        6 fieldsFilePathLineDebtSeverityFull Name
        Class method __new__ should have 'cls' as first argumentc:\users\eagle\downloads\numpy-master\numpy\core\defchararray.py21 94622min 0s2HighPylint/Pylint/Pylint/Class method __new__ should have 'cls' as first argument
        Class method __new__ should have 'cls' as first argumentc:\users\eagle\downloads\numpy-master\numpy\core\memmap.py420512min 0s1HighPylint/Pylint/Pylint/Class method __new__ should have 'cls' as first argument
        Class method __new__ should have 'cls' as first argumentc:\users\eagle\downloads\numpy-master\numpy\core\records.py342802min 0s0HighPylint/Pylint/Pylint/Class method __new__ should have 'cls' as first argument
        Class method __new__ should have 'cls' as first argumentc:\users\eagle\downloads\numpy-master\numpy\core\tests\test_umath.py12 89452min 0s5HighPylint/Pylint/Pylint/Class method __new__ should have 'cls' as first argument
        Class method __new__ should have 'cls' as first argumentc:\users\eagle\downloads\numpy-master\numpy\ma\core.py06 18942min 0s4HighPylint/Pylint/Pylint/Class method __new__ should have 'cls' as first argument
        Class method __new__ should have 'cls' as first argumentc:\users\eagle\downloads\numpy-master\numpy\matrixlib\defmatrix.py511532min 0s3HighPylint/Pylint/Pylint/Class method __new__ should have 'cls' as first argument

        Statistics

        Stat   FilePath   Line   Debt   Severity
        Sum:-11 77712min-
        Average:-1 9632min 0s-
        Minimum:-1152min 0s-
        Maximum:-6 1892min 0s-
        Standard deviation:-2 1440min 0s-
        Variance:-4 598 0030min 0s-
        warning   Rule Violated:    An attribute defined hides a method

        1 field matched

        • Formatting: bold means added, underlined means code was changed, strike-bold means removed (since baseline)
        1 fieldFilePathLineDebtSeverityFull Name
        An attribute defined in numpy.lib.npyio line 1346 hides this methodc:\users\eagle\downloads\numpy-master\numpy\lib\npyio.py01 33102min 0s0HighPylint/Pylint/Pylint/An attribute defined in numpy.lib.npyio line 1346 hides this method

        Statistics

        Stat &nb