hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
float64 | qsc_code_num_words_quality_signal
int64 | qsc_code_num_chars_quality_signal
float64 | qsc_code_mean_word_length_quality_signal
float64 | qsc_code_frac_words_unique_quality_signal
float64 | qsc_code_frac_chars_top_2grams_quality_signal
float64 | qsc_code_frac_chars_top_3grams_quality_signal
float64 | qsc_code_frac_chars_top_4grams_quality_signal
float64 | qsc_code_frac_chars_dupe_5grams_quality_signal
float64 | qsc_code_frac_chars_dupe_6grams_quality_signal
float64 | qsc_code_frac_chars_dupe_7grams_quality_signal
float64 | qsc_code_frac_chars_dupe_8grams_quality_signal
float64 | qsc_code_frac_chars_dupe_9grams_quality_signal
float64 | qsc_code_frac_chars_dupe_10grams_quality_signal
float64 | qsc_code_frac_chars_replacement_symbols_quality_signal
float64 | qsc_code_frac_chars_digital_quality_signal
float64 | qsc_code_frac_chars_whitespace_quality_signal
float64 | qsc_code_size_file_byte_quality_signal
float64 | qsc_code_num_lines_quality_signal
float64 | qsc_code_num_chars_line_max_quality_signal
float64 | qsc_code_num_chars_line_mean_quality_signal
float64 | qsc_code_frac_chars_alphabet_quality_signal
float64 | qsc_code_frac_chars_comments_quality_signal
float64 | qsc_code_cate_xml_start_quality_signal
float64 | qsc_code_frac_lines_dupe_lines_quality_signal
float64 | qsc_code_cate_autogen_quality_signal
float64 | qsc_code_frac_lines_long_string_quality_signal
float64 | qsc_code_frac_chars_string_length_quality_signal
float64 | qsc_code_frac_chars_long_word_length_quality_signal
float64 | qsc_code_frac_lines_string_concat_quality_signal
float64 | qsc_code_cate_encoded_data_quality_signal
float64 | qsc_code_frac_chars_hex_words_quality_signal
float64 | qsc_code_frac_lines_prompt_comments_quality_signal
float64 | qsc_code_frac_lines_assert_quality_signal
float64 | qsc_codepython_cate_ast_quality_signal
float64 | qsc_codepython_frac_lines_func_ratio_quality_signal
float64 | qsc_codepython_cate_var_zero_quality_signal
bool | qsc_codepython_frac_lines_pass_quality_signal
float64 | qsc_codepython_frac_lines_import_quality_signal
float64 | qsc_codepython_frac_lines_simplefunc_quality_signal
float64 | qsc_codepython_score_lines_no_logic_quality_signal
float64 | qsc_codepython_frac_lines_print_quality_signal
float64 | qsc_code_num_words
int64 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
int64 | qsc_code_frac_chars_dupe_10grams
int64 | qsc_code_frac_chars_replacement_symbols
int64 | qsc_code_frac_chars_digital
int64 | qsc_code_frac_chars_whitespace
int64 | qsc_code_size_file_byte
int64 | qsc_code_num_lines
int64 | qsc_code_num_chars_line_max
int64 | qsc_code_num_chars_line_mean
int64 | qsc_code_frac_chars_alphabet
int64 | qsc_code_frac_chars_comments
int64 | qsc_code_cate_xml_start
int64 | qsc_code_frac_lines_dupe_lines
int64 | qsc_code_cate_autogen
int64 | qsc_code_frac_lines_long_string
int64 | qsc_code_frac_chars_string_length
int64 | qsc_code_frac_chars_long_word_length
int64 | qsc_code_frac_lines_string_concat
null | qsc_code_cate_encoded_data
int64 | qsc_code_frac_chars_hex_words
int64 | qsc_code_frac_lines_prompt_comments
int64 | qsc_code_frac_lines_assert
int64 | qsc_codepython_cate_ast
int64 | qsc_codepython_frac_lines_func_ratio
int64 | qsc_codepython_cate_var_zero
int64 | qsc_codepython_frac_lines_pass
int64 | qsc_codepython_frac_lines_import
int64 | qsc_codepython_frac_lines_simplefunc
int64 | qsc_codepython_score_lines_no_logic
int64 | qsc_codepython_frac_lines_print
int64 | effective
string | hits
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
74d59e48d760c2bdd824f63462307dcc9124fac9
| 131
|
py
|
Python
|
tfidf_matcher/__init__.py
|
stungkit/tfidf_matcher
|
24182504d21f1eb978839b700f1c402c6288df2f
|
[
"MIT"
] | 13
|
2020-02-24T18:29:15.000Z
|
2021-12-28T09:41:35.000Z
|
tfidf_matcher/__init__.py
|
stungkit/tfidf_matcher
|
24182504d21f1eb978839b700f1c402c6288df2f
|
[
"MIT"
] | null | null | null |
tfidf_matcher/__init__.py
|
stungkit/tfidf_matcher
|
24182504d21f1eb978839b700f1c402c6288df2f
|
[
"MIT"
] | 3
|
2020-07-21T04:32:45.000Z
|
2021-10-21T11:00:56.000Z
|
# AUTHOR: Louis Tsiattalou
# DESCRIPTION: Init for tfidf_matcher package.
from .ngrams import ngrams
from .matcher import matcher
| 21.833333
| 46
| 0.801527
| 17
| 131
| 6.117647
| 0.705882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145038
| 131
| 5
| 47
| 26.2
| 0.928571
| 0.526718
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
2d079a19d871b67d7ba2ce209923cccc01b9ff8d
| 242
|
py
|
Python
|
ecart/serializer.py
|
micael-grilo/E-Cart
|
76e86b4c7ea5bd2becda23ef8c69470c86630c5e
|
[
"MIT"
] | 5
|
2016-09-20T21:33:29.000Z
|
2018-10-10T06:07:45.000Z
|
ecart/serializer.py
|
micael-grilo/E-Cart
|
76e86b4c7ea5bd2becda23ef8c69470c86630c5e
|
[
"MIT"
] | 1
|
2016-05-03T07:54:54.000Z
|
2016-05-03T13:16:48.000Z
|
ecart/serializer.py
|
micael-grilo/E-Cart
|
76e86b4c7ea5bd2becda23ef8c69470c86630c5e
|
[
"MIT"
] | 3
|
2016-09-18T14:54:49.000Z
|
2020-01-08T18:19:51.000Z
|
import json
class Serializer(object):
"""docstring for Serializer"""
@staticmethod
def dumps(data_obj):
return json.dumps(data_obj)
@staticmethod
def loads(data_string):
return json.loads(data_string)
| 16.133333
| 38
| 0.665289
| 28
| 242
| 5.607143
| 0.535714
| 0.191083
| 0.152866
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.239669
| 242
| 14
| 39
| 17.285714
| 0.853261
| 0.099174
| 0
| 0.25
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.125
| 0.25
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
2d1815bfd6d647756ab866fe6efa2fc1a8f472f8
| 15,759
|
py
|
Python
|
fn_portal/filters/FishAttr_filters.py
|
AdamCottrill/FishNetPortal
|
4e58e05f52346ac1ab46698a03d4229c74828406
|
[
"MIT"
] | null | null | null |
fn_portal/filters/FishAttr_filters.py
|
AdamCottrill/FishNetPortal
|
4e58e05f52346ac1ab46698a03d4229c74828406
|
[
"MIT"
] | null | null | null |
fn_portal/filters/FishAttr_filters.py
|
AdamCottrill/FishNetPortal
|
4e58e05f52346ac1ab46698a03d4229c74828406
|
[
"MIT"
] | null | null | null |
import django_filters
from .common_filters import NumberInFilter, ValueInFilter, GeomFilter, GeoFilterSet
class FishAttrFilters(GeoFilterSet):
"""A filter set that contains filters that are common to all the FN125 child
tables - FN125Lamprey, FN125Tag, Fn126, and FN127. Filtersets for those class
inherit from this one, and add their own models and model specific filters.
Filters in this class include filters from FN011 to FN125 Tables.
"""
roi = GeomFilter(
field_name="fish__catch__effort__sample__geom__within", method="filter_roi"
)
buffered_point = GeomFilter(
field_name="fish__catch__effort__sample__geom__within", method="filter_point"
)
management_unit__in = ValueInFilter(
field_name="fish__catch__effort__sample__management_units__slug"
)
management_unit__not__in = ValueInFilter(
field_name="fish__catch__effort__sample__management_units__slug", exclude=True
)
# FN011 (PROJECT) ATTRIBUTES
year = django_filters.CharFilter(
field_name="fish__catch__effort__sample__project__year", lookup_expr="exact"
)
year__gte = django_filters.NumberFilter(
field_name="fish__catch__effort__sample__project__year", lookup_expr="gte"
)
year__lte = django_filters.NumberFilter(
field_name="fish__catch__effort__sample__project__year", lookup_expr="lte"
)
year__gt = django_filters.NumberFilter(
field_name="fish__catch__effort__sample__project__year", lookup_expr="gt"
)
year__lt = django_filters.NumberFilter(
field_name="fish__catch__effort__sample__project__year", lookup_expr="lt"
)
prj_date0 = django_filters.DateFilter(
field_name="fish__catch__effort__sample__project__prj_date0",
help_text="format: yyyy-mm-dd",
)
prj_date0__gte = django_filters.DateFilter(
field_name="fish__catch__effort__sample__project__prj_date0",
lookup_expr="gte",
help_text="format: yyyy-mm-dd",
)
prj_date0__lte = django_filters.DateFilter(
field_name="fish__catch__effort__sample__project__prj_date0",
lookup_expr="lte",
help_text="format: yyyy-mm-dd",
)
prj_date1 = django_filters.DateFilter(
field_name="fish__catch__effort__sample__project__prj_date1",
help_text="format: yyyy-mm-dd",
)
prj_date1__gte = django_filters.DateFilter(
field_name="fish__catch__effort__sample__project__prj_date1",
lookup_expr="gte",
help_text="format: yyyy-mm-dd",
)
prj_date1__lte = django_filters.DateFilter(
field_name="fish__catch__effort__sample__project__prj_date1",
lookup_expr="lte",
help_text="format: yyyy-mm-dd",
)
prj_cd = ValueInFilter(field_name="fish__catch__effort__sample__project__prj_cd")
prj_cd__not = ValueInFilter(
field_name="fish__catch__effort__sample__project__prj_cd", exclude=True
)
prj_cd__like = django_filters.CharFilter(
field_name="fish__catch__effort__sample__project__prj_cd",
lookup_expr="icontains",
)
prj_cd__not_like = django_filters.CharFilter(
field_name="fish__catch__effort__sample__project__prj_cd",
lookup_expr="icontains",
exclude=True,
)
prj_cd__endswith = django_filters.CharFilter(
field_name="fish__catch__effort__sample__project__prj_cd",
lookup_expr="endswith",
)
prj_cd__not_endswith = django_filters.CharFilter(
field_name="fish__catch__effort__sample__project__prj_cd",
lookup_expr="endswith",
exclude=True,
)
prj_nm__like = django_filters.CharFilter(
field_name="fish__catch__effort__sample__project__prj_nm",
lookup_expr="icontains",
)
prj_nm__not_like = django_filters.CharFilter(
field_name="fish__catch__effort__sample__project__prj_nm",
lookup_expr="icontains",
exclude=True,
)
prj_ldr = django_filters.CharFilter(
field_name="fish__catch__effort__sample__project__prj_ldr__username",
lookup_expr="iexact",
)
protocol = ValueInFilter(
field_name="fish__catch__effort__sample__project__protocol__abbrev"
)
protocol__not = ValueInFilter(
field_name="fish__catch__effort__sample__project__protocol__abbrev",
exclude=True,
)
lake = ValueInFilter(
field_name="fish__catch__effort__sample__project__lake__abbrev",
)
lake__not = ValueInFilter(
field_name="fish__catch__effort__sample__project__lake__abbrev", exclude=True
)
# FN121 (NET SET) ATTRIBUTES:
sam = ValueInFilter(field_name="fish__catch__effort__sample__sam")
sam__not = ValueInFilter(
field_name="fish__catch__effort__sample__sam", exclude=True
)
sidep__gte = django_filters.NumberFilter(
field_name="fish__catch__effort__sample__sidep", lookup_expr="gte"
)
sidep__lte = django_filters.NumberFilter(
field_name="fish__catch__effort__sample__sidep", lookup_expr="lte"
)
grtp = ValueInFilter(field_name="fish__catch__effort__sample__grtp")
grtp__not = ValueInFilter(
field_name="fish__catch__effort__sample__grtp", exclude=True
)
gr = ValueInFilter(field_name="fish__catch__effort__sample__gr")
gr__not = ValueInFilter(field_name="fish__catch__effort__sample__gr", exclude=True)
# grid is a little trick - requires us to filter lake too - user beware!
grid = NumberInFilter(field_name="fish__catch__effort__sample__grid__grid")
grid__not = NumberInFilter(
field_name="fish__catch__effort__sample__grid__grid", exclude=True
)
effdur__gte = django_filters.NumberFilter(
field_name="fish__catch__effort__sample__effdur", lookup_expr="gte"
)
effdur__lte = django_filters.NumberFilter(
field_name="fish__catch__effort__sample__effdur", lookup_expr="lte"
)
set_date = django_filters.DateFilter(
field_name="fish__catch__effort__sample__effdt0", help_text="format: yyyy-mm-dd"
)
set_date__gte = django_filters.DateFilter(
field_name="fish__catch__effort__sample__effdt0",
lookup_expr="gte",
help_text="format: yyyy-mm-dd",
)
set_date__lte = django_filters.DateFilter(
field_name="fish__catch__effort__sample__effdt0",
lookup_expr="lte",
help_text="format: yyyy-mm-dd",
)
lift_date = django_filters.DateFilter(
field_name="fish__catch__effort__sample__effdt1", help_text="format: yyyy-mm-dd"
)
lift_date__gte = django_filters.DateFilter(
field_name="fish__catch__effort__sample__effdt1",
lookup_expr="gte",
help_text="format: yyyy-mm-dd",
)
lift_date__lte = django_filters.DateFilter(
field_name="fish__catch__effort__sample__effdt1",
lookup_expr="lte",
help_text="format: yyyy-mm-dd",
)
set_time = django_filters.TimeFilter(
field_name="fish__catch__effort__sample__efftm0", help_text="format: HH:MM"
)
set_time__gte = django_filters.TimeFilter(
field_name="fish__catch__effort__sample__efftm0",
lookup_expr="gte",
help_text="format: HH:MM",
)
set_time__lte = django_filters.TimeFilter(
field_name="fish__catch__effort__sample__efftm0",
lookup_expr="lte",
help_text="format: HH:MM",
)
lift_time = django_filters.TimeFilter(
field_name="fish__catch__effort__sample__efftm1", help_text="format: HH:MM"
)
lift_time__gte = django_filters.TimeFilter(
field_name="fish__catch__effort__sample__efftm1",
lookup_expr="gte",
help_text="format: HH:MM",
)
lift_time__lte = django_filters.TimeFilter(
field_name="fish__catch__effort__sample__efftm1",
lookup_expr="lte",
help_text="format: HH:MM",
)
# FN122 (EFFORT) ATTRIBUTES
eff = ValueInFilter(field_name="fish__catch__effort__eff")
eff__not = ValueInFilter(field_name="fish__catch__effort__eff", exclude=True)
effdst = django_filters.NumberFilter(
field_name="fish__catch__effort__effdst", lookup_expr="exact"
)
effdst__gte = django_filters.NumberFilter(
field_name="fish__catch__effort__effdst", lookup_expr="gte"
)
effdst__lte = django_filters.NumberFilter(
field_name="fish__catch__effort__effdst", lookup_expr="lte"
)
effdst__gt = django_filters.NumberFilter(
field_name="fish__catch__effort__effdst", lookup_expr="gt"
)
effdst__lt = django_filters.NumberFilter(
field_name="fish__catch__effort__effdst", lookup_expr="lt"
)
grdep = django_filters.NumberFilter(
field_name="fish__catch__effort__grdep", lookup_expr="exact"
)
grdep__gte = django_filters.NumberFilter(
field_name="fish__catch__effort__grdep", lookup_expr="gte"
)
grdep__lte = django_filters.NumberFilter(
field_name="fish__catch__effort__grdep", lookup_expr="lte"
)
grdep__gt = django_filters.NumberFilter(
field_name="fish__catch__effort__grdep", lookup_expr="gt"
)
grdep__lt = django_filters.NumberFilter(
field_name="fish__catch__effort__grdep", lookup_expr="lt"
)
grtem0 = django_filters.NumberFilter(
field_name="fish__catch__effort__grtem0", lookup_expr="exact"
)
grtem0__gte = django_filters.NumberFilter(
field_name="fish__catch__effort__grtem0", lookup_expr="gte"
)
grtem0__lte = django_filters.NumberFilter(
field_name="fish__catch__effort__grtem0", lookup_expr="lte"
)
grtem0__gt = django_filters.NumberFilter(
field_name="fish__catch__effort__grtem0", lookup_expr="gt"
)
grtem0__lt = django_filters.NumberFilter(
field_name="fish__catch__effort__grtem0", lookup_expr="lt"
)
grtem1 = django_filters.NumberFilter(
field_name="fish__catch__effort__grtem1", lookup_expr="exact"
)
grtem1__gte = django_filters.NumberFilter(
field_name="fish__catch__effort__grtem1", lookup_expr="gte"
)
grtem1__lte = django_filters.NumberFilter(
field_name="fish__catch__effort__grtem1", lookup_expr="lte"
)
grtem1__gt = django_filters.NumberFilter(
field_name="fish__catch__effort__grtem1", lookup_expr="gt"
)
grtem1__lt = django_filters.NumberFilter(
field_name="fish__catch__effort__grtem1", lookup_expr="lt"
)
# FN123 (CATCH) ATTRIBUTES:
grp = ValueInFilter(field_name="fish__catch__grp")
grp__not = ValueInFilter(field_name="fish__catch__grp", exclude=True)
spc = ValueInFilter(field_name="fish__catch__species__spc")
spc__not = ValueInFilter(field_name="fish__catch__species__spc", exclude=True)
catcnt = django_filters.NumberFilter(
field_name="fish__catch__catcnt", lookup_expr="exact"
)
catcnt__gte = django_filters.NumberFilter(
field_name="fish__catch__catcnt", lookup_expr="gte"
)
catcnt__lte = django_filters.NumberFilter(
field_name="fish__catch__catcnt", lookup_expr="lte"
)
catcnt__gt = django_filters.NumberFilter(
field_name="fish__catch__catcnt", lookup_expr="gt"
)
catcnt__lt = django_filters.NumberFilter(
field_name="fish__catch__catcnt", lookup_expr="lt"
)
biocnt = django_filters.NumberFilter(
field_name="fish__catch__biocnt", lookup_expr="exact"
)
biocnt__gte = django_filters.NumberFilter(
field_name="fish__catch__biocnt", lookup_expr="gte"
)
biocnt__lte = django_filters.NumberFilter(
field_name="fish__catch__biocnt", lookup_expr="lte"
)
biocnt__gt = django_filters.NumberFilter(
field_name="fish__catch__biocnt", lookup_expr="gt"
)
biocnt__lt = django_filters.NumberFilter(
field_name="fish__catch__biocnt", lookup_expr="lt"
)
# FN125 (FISH) ATTRIBUTES:
tlen = django_filters.NumberFilter(field_name="fish__tlen")
tlen__gte = django_filters.NumberFilter(field_name="fish__tlen", lookup_expr="gte")
tlen__lte = django_filters.NumberFilter(field_name="fish__tlen", lookup_expr="lte")
tlen__gt = django_filters.NumberFilter(field_name="fish__tlen", lookup_expr="gt")
tlen__lt = django_filters.NumberFilter(field_name="fish__tlen", lookup_expr="lt")
flen = django_filters.NumberFilter(field_name="fish__flen")
flen__gte = django_filters.NumberFilter(field_name="fish__flen", lookup_expr="gte")
flen__lte = django_filters.NumberFilter(field_name="fish__flen", lookup_expr="lte")
flen__gt = django_filters.NumberFilter(field_name="fish__flen", lookup_expr="gt")
flen__lt = django_filters.NumberFilter(field_name="fish__flen", lookup_expr="lt")
rwt = django_filters.NumberFilter(field_name="fish__rwt")
rwt__null = django_filters.BooleanFilter(
field_name="fish__rwt", lookup_expr="isnull"
)
rwt__gte = django_filters.NumberFilter(field_name="fish__rwt", lookup_expr="gte")
rwt__lte = django_filters.NumberFilter(field_name="fish__rwt", lookup_expr="lte")
rwt__gt = django_filters.NumberFilter(field_name="fish__rwt", lookup_expr="gt")
rwt__lt = django_filters.NumberFilter(field_name="fish__rwt", lookup_expr="lt")
mat = ValueInFilter(field_name="fish__mat")
mat__not = ValueInFilter(field_name="fish__mat", exclude=True)
mat__null = django_filters.BooleanFilter(
field_name="fish__mat", lookup_expr="isnull"
)
gon = ValueInFilter(field_name="fish__gon")
gon__not = ValueInFilter(field_name="fish__gon", exclude=True)
gon__null = django_filters.BooleanFilter(
field_name="fish__gon", lookup_expr="isnull"
)
sex = ValueInFilter(field_name="fish__sex")
sex__not = ValueInFilter(field_name="fish__sex", exclude=True)
sex__null = django_filters.BooleanFilter(
field_name="fish__sex", lookup_expr="isnull"
)
clipc = ValueInFilter(field_name="fish__clipc")
clipc__not = ValueInFilter(field_name="fish__clipc", exclude=True)
clipc__null = django_filters.BooleanFilter(
field_name="fish__clipc", lookup_expr="isnull"
)
clipc__like = django_filters.CharFilter(
field_name="fish__clipc", lookup_expr="icontains"
)
clipc__not_like = django_filters.CharFilter(
field_name="fish__clipc", lookup_expr="icontains", exclude=True
)
clipa = ValueInFilter(field_name="fish__clipa")
clipa__not = ValueInFilter(field_name="fish__clipa", exclude=True)
clipa__null = django_filters.BooleanFilter(
field_name="fish__clipa", lookup_expr="isnull"
)
clipa__like = django_filters.CharFilter(
field_name="fish__clipa", lookup_expr="icontains"
)
clipa__not_like = django_filters.CharFilter(
field_name="fish__clipa", lookup_expr="icontains", exclude=True
)
nodc = ValueInFilter(field_name="fish__nodc")
nodc__not = ValueInFilter(field_name="fish__nodc", exclude=True)
nodc__null = django_filters.BooleanFilter(
field_name="fish__nodc", lookup_expr="isnull"
)
nodc__like = django_filters.CharFilter(
field_name="fish__nodc", lookup_expr="icontains"
)
nodc__not_like = django_filters.CharFilter(
field_name="fish__nodc", lookup_expr="icontains", exclude=True
)
noda = ValueInFilter(field_name="fish__noda")
noda__not = ValueInFilter(field_name="fish__noda", exclude=True)
noda__null = django_filters.BooleanFilter(
field_name="fish__noda", lookup_expr="isnull"
)
noda__like = django_filters.CharFilter(
field_name="fish__noda", lookup_expr="icontains"
)
noda__not_like = django_filters.CharFilter(
field_name="fish__noda", lookup_expr="icontains", exclude=True
)
| 37.255319
| 88
| 0.724475
| 1,898
| 15,759
| 5.301897
| 0.076396
| 0.118951
| 0.171818
| 0.157408
| 0.845474
| 0.797476
| 0.780284
| 0.708636
| 0.655172
| 0.568021
| 0
| 0.006203
| 0.181547
| 15,759
| 422
| 89
| 37.343602
| 0.773996
| 0.031664
| 0
| 0.156863
| 0
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| 0.268925
| 0.180684
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.005602
| 0
| 0.380952
| 0
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| 0
| 0
| null | 0
| 0
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| 1
| 1
| 1
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
2d2277cdda5d2b5e047ce9495c3c9bd5671495c6
| 136
|
py
|
Python
|
core/handlers/main_db_handler.py
|
Tampan793/Watermark-Bot
|
e872f85675e7cdaeeae5efcb1a0af59625d554f5
|
[
"MIT"
] | null | null | null |
core/handlers/main_db_handler.py
|
Tampan793/Watermark-Bot
|
e872f85675e7cdaeeae5efcb1a0af59625d554f5
|
[
"MIT"
] | null | null | null |
core/handlers/main_db_handler.py
|
Tampan793/Watermark-Bot
|
e872f85675e7cdaeeae5efcb1a0af59625d554f5
|
[
"MIT"
] | null | null | null |
# (c) @M4SK3R1N
from configs import Config
from core.database import Database
db = Database(Config.DATABASE_URL, Config.BOT_USERNAME)
| 19.428571
| 55
| 0.794118
| 19
| 136
| 5.578947
| 0.631579
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02521
| 0.125
| 136
| 6
| 56
| 22.666667
| 0.865546
| 0.095588
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
2d281bc3b188a3528fb07c6f83aec0f80d042987
| 385
|
py
|
Python
|
app/http/pili_service.py
|
sy264115809/techshow
|
7d9c8d003b6a652684b140b601061ac59dc44892
|
[
"MIT"
] | null | null | null |
app/http/pili_service.py
|
sy264115809/techshow
|
7d9c8d003b6a652684b140b601061ac59dc44892
|
[
"MIT"
] | null | null | null |
app/http/pili_service.py
|
sy264115809/techshow
|
7d9c8d003b6a652684b140b601061ac59dc44892
|
[
"MIT"
] | 1
|
2021-09-14T18:01:39.000Z
|
2021-09-14T18:01:39.000Z
|
# coding=utf-8
from pili import *
from flask import current_app
def _hub():
credentials = Credentials(current_app.config['PILI_ACCESS_KEY'], current_app.config['PILI_SECRET_KEY'])
return Hub(credentials, current_app.config['PILI_HUB_NAME'])
def get_stream(stream_id):
return _hub().get_stream(stream_id)
def create_dynamic_stream():
return _hub().create_stream()
| 22.647059
| 107
| 0.755844
| 55
| 385
| 4.927273
| 0.418182
| 0.147601
| 0.177122
| 0.221402
| 0.228782
| 0
| 0
| 0
| 0
| 0
| 0
| 0.002976
| 0.127273
| 385
| 16
| 108
| 24.0625
| 0.803571
| 0.031169
| 0
| 0
| 0
| 0
| 0.115903
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.222222
| 0.222222
| 0.888889
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
2d458b40385031e7f090e9d9647595375cf582aa
| 2,684
|
py
|
Python
|
stubs.min/System/Windows/Media/__init___parts/FontFamilyConverter.py
|
hdm-dt-fb/ironpython-stubs
|
4d2b405eda3ceed186e8adca55dd97c332c6f49d
|
[
"MIT"
] | 1
|
2017-07-25T14:30:18.000Z
|
2017-07-25T14:30:18.000Z
|
stubs.min/System/Windows/Media/__init___parts/FontFamilyConverter.py
|
hdm-dt-fb/ironpython-stubs
|
4d2b405eda3ceed186e8adca55dd97c332c6f49d
|
[
"MIT"
] | null | null | null |
stubs.min/System/Windows/Media/__init___parts/FontFamilyConverter.py
|
hdm-dt-fb/ironpython-stubs
|
4d2b405eda3ceed186e8adca55dd97c332c6f49d
|
[
"MIT"
] | null | null | null |
class FontFamilyConverter(TypeConverter):
"""
Converts instances of the System.String type to and from System.Windows.Media.FontFamily instances.
FontFamilyConverter()
"""
def CanConvertFrom(self,*__args):
"""
CanConvertFrom(self: FontFamilyConverter,td: ITypeDescriptorContext,t: Type) -> bool
Determines whether a class can be converted from a given type to an instance of
System.Windows.Media.FontFamily.
td: Describes the context information of a type.
t: The type of the source that is being evaluated for conversion.
Returns: true if the converter can convert from the specified type to an instance of
System.Windows.Media.FontFamily; otherwise,false.
"""
pass
def CanConvertTo(self,*__args):
"""
CanConvertTo(self: FontFamilyConverter,context: ITypeDescriptorContext,destinationType: Type) -> bool
Determines whether an instance of System.Windows.Media.FontFamily can be
converted to a different type.
context: Describes the context information of a type.
destinationType: The desired type that this instance of System.Windows.Media.FontFamily is being
evaluated for conversion.
Returns: true if the converter can convert this instance of
System.Windows.Media.FontFamily to the specified type; otherwise,false.
"""
pass
def ConvertFrom(self,*__args):
"""
ConvertFrom(self: FontFamilyConverter,context: ITypeDescriptorContext,cultureInfo: CultureInfo,o: object) -> object
Attempts to convert a specified object to an instance of
System.Windows.Media.FontFamily.
context: Describes the context information of a type.
cultureInfo: Cultural-specific information that should be respected during conversion.
o: The object being converted.
Returns: The instance of System.Windows.Media.FontFamily that is created from the
converted o parameter.
"""
pass
def ConvertTo(self,*__args):
"""
ConvertTo(self: FontFamilyConverter,context: ITypeDescriptorContext,culture: CultureInfo,value: object,destinationType: Type) -> object
Attempts to convert a specified object to an instance of
System.Windows.Media.FontFamily.
context: Describes the context information of a type.
culture: Cultural-specific information that should be respected during conversion.
value: The object being converted.
destinationType: The type that this instance of System.Windows.Media.FontFamily is converted to.
Returns: The object that is created from the converted instance of
System.Windows.Media.FontFamily.
"""
pass
| 39.470588
| 139
| 0.726528
| 317
| 2,684
| 6.126183
| 0.227129
| 0.073635
| 0.101957
| 0.158599
| 0.513388
| 0.513388
| 0.444387
| 0.38311
| 0.360453
| 0.247168
| 0
| 0
| 0.209389
| 2,684
| 67
| 140
| 40.059701
| 0.915174
| 0.84389
| 0
| 0.444444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.444444
| false
| 0.444444
| 0
| 0
| 0.555556
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
74211c834b2dd1dade05058e46154bf5ab314dc4
| 709
|
py
|
Python
|
supabase_client/supebase_exceptions.py
|
keosariel/supabase-client
|
0a0e1dfe00ed6171d65f8c022ce23a6e90216616
|
[
"MIT"
] | 6
|
2021-08-07T20:51:09.000Z
|
2022-03-03T18:18:42.000Z
|
supabase_client/supebase_exceptions.py
|
keosariel/supabase-client
|
0a0e1dfe00ed6171d65f8c022ce23a6e90216616
|
[
"MIT"
] | null | null | null |
supabase_client/supebase_exceptions.py
|
keosariel/supabase-client
|
0a0e1dfe00ed6171d65f8c022ce23a6e90216616
|
[
"MIT"
] | 2
|
2021-08-11T03:35:35.000Z
|
2022-03-15T14:53:42.000Z
|
class SupabaseError(Exception):
"""Base class for all supabase errors
:param message: A human-readable error message string.
"""
def __init__(self, message):
Exception.__init__(self, message)
class ClientConnectorError(SupabaseError):
def __init__(self, message):
SupabaseError.__init__(self, message)
class QueryError(SupabaseError):
def __init__(self, message):
SupabaseError.__init__(self, message)
class InvalidRangeError(SupabaseError):
def __init__(self, message):
SupabaseError.__init__(self, message)
class UnexpectedValueTypeError(SupabaseError):
def __init__(self, message):
SupabaseError.__init__(self, message)
| 24.448276
| 62
| 0.717913
| 69
| 709
| 6.797101
| 0.318841
| 0.170576
| 0.319829
| 0.191898
| 0.535181
| 0.535181
| 0.535181
| 0.535181
| 0.535181
| 0.409382
| 0
| 0
| 0.190409
| 709
| 28
| 63
| 25.321429
| 0.817073
| 0.126939
| 0
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
746d2dd92129a5cba7d3203cc33cfadd617835cd
| 127
|
py
|
Python
|
wandering-warriors/modules/__init__.py
|
python-discord/code-jam-6
|
a7eb3b1256ae113c93f0337892c667768e8bc199
|
[
"MIT"
] | 76
|
2020-01-17T12:09:48.000Z
|
2022-03-26T19:17:26.000Z
|
wandering-warriors/modules/__init__.py
|
1nf1del/code-jam-6
|
a7eb3b1256ae113c93f0337892c667768e8bc199
|
[
"MIT"
] | 17
|
2020-01-21T23:13:34.000Z
|
2020-02-07T00:07:04.000Z
|
wandering-warriors/modules/__init__.py
|
1nf1del/code-jam-6
|
a7eb3b1256ae113c93f0337892c667768e8bc199
|
[
"MIT"
] | 91
|
2020-01-17T12:01:06.000Z
|
2022-03-22T20:38:59.000Z
|
from .abacus import Abacus
from .draw_pad import DrawPad
from .ledger import Ledger
__all__ = ('Abacus', 'DrawPad', 'Ledger')
| 21.166667
| 41
| 0.748031
| 17
| 127
| 5.294118
| 0.470588
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.141732
| 127
| 5
| 42
| 25.4
| 0.825688
| 0
| 0
| 0
| 0
| 0
| 0.149606
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.75
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
778378ad2cae07b1eae7fe45253c50b387c8c03b
| 256
|
py
|
Python
|
animations/color/list.py
|
LeLuxNet/GridPy
|
5f4d02d2b254be1f0682b724a96a99009a415308
|
[
"MIT"
] | null | null | null |
animations/color/list.py
|
LeLuxNet/GridPy
|
5f4d02d2b254be1f0682b724a96a99009a415308
|
[
"MIT"
] | 1
|
2020-05-09T15:48:41.000Z
|
2020-05-21T20:14:21.000Z
|
animations/color/list.py
|
LeLuxNet/GridPy
|
5f4d02d2b254be1f0682b724a96a99009a415308
|
[
"MIT"
] | null | null | null |
from animations.color import base
class ListGenerator(base.IndexColorGeneration):
def __init__(self, colors):
super().__init__(len(colors))
self.colors = colors
def generate_index(self, index):
return self.colors[index]
| 21.333333
| 47
| 0.691406
| 29
| 256
| 5.793103
| 0.586207
| 0.178571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.210938
| 256
| 11
| 48
| 23.272727
| 0.831683
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.142857
| 0.142857
| 0.714286
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
77a564e8a33b0b8bdb5861341a41f636b8f577fb
| 389
|
py
|
Python
|
test/test_nesting.py
|
zauberzeug/binding
|
8b09b15e3675c68850b81d7253f1eb24245ee76b
|
[
"MIT"
] | 1
|
2022-01-07T03:22:19.000Z
|
2022-01-07T03:22:19.000Z
|
test/test_nesting.py
|
zauberzeug/binding
|
8b09b15e3675c68850b81d7253f1eb24245ee76b
|
[
"MIT"
] | null | null | null |
test/test_nesting.py
|
zauberzeug/binding
|
8b09b15e3675c68850b81d7253f1eb24245ee76b
|
[
"MIT"
] | null | null | null |
from binding import BindableProperty
class A:
x = BindableProperty()
def __init__(self, x):
self.x = x
def bind_x_to(self, target):
self.x.bind_to(target, nesting=1)
class B:
y = BindableProperty()
def __init__(self, y):
self.y = y
def test_nesting():
a = A(1)
b = B(2)
a.bind_x_to(b.y)
assert a.x == 1 and b.y == 1
| 12.966667
| 41
| 0.562982
| 62
| 389
| 3.306452
| 0.33871
| 0.073171
| 0.22439
| 0.263415
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018657
| 0.311054
| 389
| 29
| 42
| 13.413793
| 0.746269
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0625
| 1
| 0.25
| false
| 0
| 0.0625
| 0
| 0.5625
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
77b89c8c2551fa8fcc0927345358401aa9bd99ab
| 191
|
py
|
Python
|
Merlin_Motion_Control.py
|
TomQD-94/merlin-motion-control
|
506ef612812be04074a9c01793c86c951578c67c
|
[
"MIT"
] | 1
|
2022-02-21T11:12:49.000Z
|
2022-02-21T11:12:49.000Z
|
Merlin_Motion_Control.py
|
TomQD-94/merlin-motion-control
|
506ef612812be04074a9c01793c86c951578c67c
|
[
"MIT"
] | null | null | null |
Merlin_Motion_Control.py
|
TomQD-94/merlin-motion-control
|
506ef612812be04074a9c01793c86c951578c67c
|
[
"MIT"
] | 1
|
2021-04-27T08:35:41.000Z
|
2021-04-27T08:35:41.000Z
|
#!/Users/richard/anaconda3/bin/python3
"""Launch app using Anaconda 3."""
from views.interface import MerlinMotionControlApp
if __name__ == "__main__":
MerlinMotionControlApp().run()
| 19.1
| 50
| 0.748691
| 20
| 191
| 6.75
| 0.95
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017857
| 0.120419
| 191
| 9
| 51
| 21.222222
| 0.785714
| 0.34555
| 0
| 0
| 0
| 0
| 0.067227
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
77ed35b54ba191d21237cd5df4a01654fd2c195e
| 14
|
py
|
Python
|
utokenize/testdata/comment_intra.py
|
MaxTurchin/pycopy-lib
|
d7a69fc2a28031e2ca475c29239f715c1809d8cc
|
[
"PSF-2.0"
] | 126
|
2019-07-19T14:42:41.000Z
|
2022-03-21T22:22:19.000Z
|
utokenize/testdata/comment_intra.py
|
MaxTurchin/pycopy-lib
|
d7a69fc2a28031e2ca475c29239f715c1809d8cc
|
[
"PSF-2.0"
] | 38
|
2019-08-28T01:46:31.000Z
|
2022-03-17T05:46:51.000Z
|
utokenize/testdata/comment_intra.py
|
MaxTurchin/pycopy-lib
|
d7a69fc2a28031e2ca475c29239f715c1809d8cc
|
[
"PSF-2.0"
] | 55
|
2019-08-02T09:32:33.000Z
|
2021-12-22T11:25:51.000Z
|
foo # comment
| 7
| 13
| 0.714286
| 2
| 14
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.214286
| 14
| 1
| 14
| 14
| 0.909091
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
7adab11f81fe9641b079dc6d9cfecadb798ccba4
| 165
|
py
|
Python
|
ergo/contrib/utils/utils.py
|
bmillwood/ergo
|
34be736f1979ad7f1f130bb90728270cb58dbfe8
|
[
"MIT"
] | 93
|
2020-04-16T03:49:55.000Z
|
2022-03-26T14:56:29.000Z
|
ergo/contrib/utils/utils.py
|
bmillwood/ergo
|
34be736f1979ad7f1f130bb90728270cb58dbfe8
|
[
"MIT"
] | 326
|
2020-03-25T17:49:11.000Z
|
2021-03-25T03:19:51.000Z
|
ergo/contrib/utils/utils.py
|
bmillwood/ergo
|
34be736f1979ad7f1f130bb90728270cb58dbfe8
|
[
"MIT"
] | 26
|
2020-03-25T03:18:58.000Z
|
2022-03-18T21:19:11.000Z
|
from datetime import timedelta
def daterange(start_date, end_date):
for n in range(int((end_date - start_date).days)):
yield start_date + timedelta(n)
| 23.571429
| 54
| 0.715152
| 25
| 165
| 4.52
| 0.64
| 0.238938
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.187879
| 165
| 6
| 55
| 27.5
| 0.843284
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bb1ea86265c925701352fac69e22fd621159f5e6
| 42
|
py
|
Python
|
tests/scope.py
|
ZYAZP/python2
|
7dc3b62eff51e1decb4a408122e77630fdc1687d
|
[
"MIT"
] | 1,062
|
2015-11-18T01:04:33.000Z
|
2022-03-29T07:13:30.000Z
|
tests/scope.py
|
ArrowSides/onelinerizer
|
7dc3b62eff51e1decb4a408122e77630fdc1687d
|
[
"MIT"
] | 26
|
2015-11-17T06:58:07.000Z
|
2022-01-15T18:11:16.000Z
|
tests/scope.py
|
ArrowSides/onelinerizer
|
7dc3b62eff51e1decb4a408122e77630fdc1687d
|
[
"MIT"
] | 100
|
2015-11-17T09:01:22.000Z
|
2021-09-12T13:58:28.000Z
|
x = 2
def foo():
x = 1
foo()
print x
| 6
| 10
| 0.452381
| 9
| 42
| 2.111111
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.076923
| 0.380952
| 42
| 6
| 11
| 7
| 0.653846
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.2
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bb4daa67b3a7c1bebded6811d734bba3fae430ae
| 105
|
py
|
Python
|
wcics/mail/errors.py
|
CS-Center/CS-Center
|
3cd09f29d214406e6618fc67b9faf59a18f3f11b
|
[
"MIT"
] | null | null | null |
wcics/mail/errors.py
|
CS-Center/CS-Center
|
3cd09f29d214406e6618fc67b9faf59a18f3f11b
|
[
"MIT"
] | 6
|
2019-12-06T18:06:28.000Z
|
2021-12-01T20:19:05.000Z
|
wcics/mail/errors.py
|
CS-Center/CS-Center
|
3cd09f29d214406e6618fc67b9faf59a18f3f11b
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
class MailError(Exception):
def __init__(self, addrs):
self.failed = addrs
| 21
| 28
| 0.647619
| 13
| 105
| 4.923077
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011628
| 0.180952
| 105
| 5
| 29
| 21
| 0.732558
| 0.2
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
246e6304dc03101d69f37d5890c1e8f95b162696
| 45
|
py
|
Python
|
api/__init__.py
|
jbrownrs/issue-376-GDS-link
|
e8cce1b79f46b98a7d24b2da5eca48430fd904a3
|
[
"MIT"
] | 5
|
2019-01-07T17:22:34.000Z
|
2020-10-08T15:03:12.000Z
|
api/__init__.py
|
jbrownrs/issue-376-GDS-link
|
e8cce1b79f46b98a7d24b2da5eca48430fd904a3
|
[
"MIT"
] | 203
|
2017-12-14T09:51:56.000Z
|
2018-08-28T14:04:08.000Z
|
api/__init__.py
|
jbrownrs/issue-376-GDS-link
|
e8cce1b79f46b98a7d24b2da5eca48430fd904a3
|
[
"MIT"
] | 5
|
2018-10-22T11:36:01.000Z
|
2020-07-20T05:47:49.000Z
|
"""
Implement a REST-ful API interface.
"""
| 9
| 35
| 0.644444
| 6
| 45
| 4.833333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177778
| 45
| 4
| 36
| 11.25
| 0.783784
| 0.777778
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
24c3a238ceec7c76992abc6bdae457799345c1bc
| 974
|
py
|
Python
|
kaznet/apps/main/serializers/__init__.py
|
onaio/kaznet-web
|
53da428d5e62e40c5d38d84c3f3ee06071dd779b
|
[
"Apache-2.0"
] | 1
|
2019-10-03T12:18:15.000Z
|
2019-10-03T12:18:15.000Z
|
kaznet/apps/main/serializers/__init__.py
|
onaio/kaznet-web
|
53da428d5e62e40c5d38d84c3f3ee06071dd779b
|
[
"Apache-2.0"
] | 63
|
2018-10-31T12:57:36.000Z
|
2020-04-27T20:18:22.000Z
|
kaznet/apps/main/serializers/__init__.py
|
onaio/kaznet-web
|
53da428d5e62e40c5d38d84c3f3ee06071dd779b
|
[
"Apache-2.0"
] | 3
|
2019-08-05T09:10:03.000Z
|
2020-01-05T21:24:49.000Z
|
"""
Init module for main serializers
"""
from kaznet.apps.main.serializers.bounty import BountySerializer # noqa
from kaznet.apps.main.serializers.client import ClientSerializer # noqa
from kaznet.apps.main.serializers.contenttype import KaznetContentTypeSerializer # noqa
from kaznet.apps.main.serializers.locations import KaznetLocationSerializer # noqa
from kaznet.apps.main.serializers.occurences import KaznetTaskOccurrenceSerializer # noqa
from kaznet.apps.main.serializers.submissions import (KaznetSubmissionSerializer, # noqa
SubmissionExportSerializer) # noqa
from kaznet.apps.main.serializers.task_location import (TaskLocationCreateSerializer, # noqa
TaskLocationSerializer)
from kaznet.apps.main.serializers.locationttypes import KaznetLocationTypeSerializer # noqa
from kaznet.apps.main.serializers.tasks import KaznetTaskSerializer # noqa
| 64.933333
| 93
| 0.750513
| 90
| 974
| 8.111111
| 0.344444
| 0.205479
| 0.172603
| 0.221918
| 0.39589
| 0.316438
| 0
| 0
| 0
| 0
| 0
| 0
| 0.189938
| 974
| 14
| 94
| 69.571429
| 0.925222
| 0.085216
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.818182
| 0
| 0.818182
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
24d907fd34d41b9eae0d2f44c555b225bcd543cc
| 907
|
py
|
Python
|
p004_test.py
|
pbgnz/project-euler
|
8ab4549101f7a3ac2a478eb6193b2b67920c8102
|
[
"MIT"
] | null | null | null |
p004_test.py
|
pbgnz/project-euler
|
8ab4549101f7a3ac2a478eb6193b2b67920c8102
|
[
"MIT"
] | 1
|
2021-04-13T12:47:07.000Z
|
2021-04-14T20:27:04.000Z
|
p004_test.py
|
escobot/project-euler
|
8ab4549101f7a3ac2a478eb6193b2b67920c8102
|
[
"MIT"
] | null | null | null |
import unittest
from p004 import solution, is_palindrome
class MyTestCase(unittest.TestCase):
def test_is_palindrome_zero(self):
self.assertEqual(is_palindrome("o"), True)
def test_is_palindrome_positive_even(self):
self.assertEqual(is_palindrome("osso"), True)
def test_is_palindrome_positive_odd(self):
self.assertEqual(is_palindrome("laval"), True)
def test_is_palindrome_negative_even(self):
self.assertEqual(is_palindrome("oslo"), False)
def test_is_palindrome_negative_odd(self):
self.assertEqual(is_palindrome("lavas"), False)
def test_solution_zero(self):
self.assertEqual(solution(0, 0), 0)
def test_solution_example(self):
self.assertEqual(solution(10, 99), 9009)
def test_solution_answer(self):
self.assertEqual(solution(100, 999), 906609)
if __name__ == '__main__':
unittest.main()
| 25.914286
| 55
| 0.713341
| 114
| 907
| 5.333333
| 0.333333
| 0.217105
| 0.25
| 0.15625
| 0.475329
| 0.328947
| 0
| 0
| 0
| 0
| 0
| 0.034899
| 0.178611
| 907
| 34
| 56
| 26.676471
| 0.781208
| 0
| 0
| 0
| 0
| 0
| 0.029801
| 0
| 0
| 0
| 0
| 0
| 0.380952
| 1
| 0.380952
| false
| 0
| 0.095238
| 0
| 0.52381
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
24df5f944ef32039cea2fd9aa8fbbb72111acef6
| 96
|
py
|
Python
|
django/AIST_survey/apps.py
|
aistairc/voteclustering_aist
|
f1ee7409698a05a99ce40cdccbe4c2b1f8f81b4c
|
[
"MIT"
] | null | null | null |
django/AIST_survey/apps.py
|
aistairc/voteclustering_aist
|
f1ee7409698a05a99ce40cdccbe4c2b1f8f81b4c
|
[
"MIT"
] | null | null | null |
django/AIST_survey/apps.py
|
aistairc/voteclustering_aist
|
f1ee7409698a05a99ce40cdccbe4c2b1f8f81b4c
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class AistSurveyConfig(AppConfig):
name = 'AIST_survey'
| 16
| 34
| 0.770833
| 11
| 96
| 6.636364
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15625
| 96
| 5
| 35
| 19.2
| 0.901235
| 0
| 0
| 0
| 0
| 0
| 0.114583
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
7011b2ae0614609670b4e97d7fc81ec2fb09c3bb
| 455
|
py
|
Python
|
tests/test_numpy.py
|
python-pipe/hellp
|
51fd7c9143ee8ce6392b9b877036ad4347ad29a5
|
[
"MIT"
] | 123
|
2018-07-31T19:17:27.000Z
|
2022-03-18T15:29:07.000Z
|
tests/test_numpy.py
|
python-pipe/hellp
|
51fd7c9143ee8ce6392b9b877036ad4347ad29a5
|
[
"MIT"
] | 11
|
2019-05-01T18:01:59.000Z
|
2022-01-01T06:43:36.000Z
|
tests/test_numpy.py
|
python-pipe/hellp
|
51fd7c9143ee8ce6392b9b877036ad4347ad29a5
|
[
"MIT"
] | 4
|
2019-06-07T12:03:53.000Z
|
2021-05-10T20:29:44.000Z
|
from sspipe import p, px
import numpy as np
def test_scalar_rhs():
assert np.int32(1) | p(lambda x: x + 1) | (px == 2)
def test_scalar_lhs():
assert 2 | px + np.int32(1)
def test_rhs():
assert np.array([1, 2]) | p(lambda x: x.sum()) | (px == 3)
def test_rhs_px():
assert np.array([1, 2]) | (px.sum() == 3)
def test_lhs():
assert 2 | p(np.log2) | (px == 1)
def test_lhs_px():
assert 2 | np.power(px, px + 1) | (px == 8)
| 16.851852
| 62
| 0.558242
| 84
| 455
| 2.904762
| 0.297619
| 0.172131
| 0.106557
| 0.07377
| 0.122951
| 0
| 0
| 0
| 0
| 0
| 0
| 0.061224
| 0.246154
| 455
| 26
| 63
| 17.5
| 0.650146
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.428571
| 1
| 0.428571
| true
| 0
| 0.142857
| 0
| 0.571429
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
7049b0e74f2f6f27ca826c944b216b0e20f61a74
| 1,125
|
py
|
Python
|
backend/mysite/student/serializers.py
|
sun0225SUN/Student-Data-Vision
|
94b2fbaef425cb2b51b3295059b1b7acca85cfcd
|
[
"MIT"
] | 2
|
2022-02-16T12:57:45.000Z
|
2022-02-24T14:09:00.000Z
|
backend/mysite/student/serializers.py
|
sun0225SUN/Student-Data-Vision
|
94b2fbaef425cb2b51b3295059b1b7acca85cfcd
|
[
"MIT"
] | null | null | null |
backend/mysite/student/serializers.py
|
sun0225SUN/Student-Data-Vision
|
94b2fbaef425cb2b51b3295059b1b7acca85cfcd
|
[
"MIT"
] | null | null | null |
from rest_framework import serializers
from .models import * # Student, StarInfo, SexInfo, GeoInfo, AnhuiGeoInfo, ProvinceInfo
class SexInfoSerializer(serializers.ModelSerializer):
class Meta:
model = SexInfo
fields = ['name', 'value']
# 星座信息序列化器
class StarInfoSerializer(serializers.ModelSerializer):
class Meta:
model = StarInfo
fields = ['name', 'value']
# 省外数据的序列化器
class Geo1Serializer(serializers.ModelSerializer):
class Meta:
model = GeoInfo
fields = ['value']
class Geo2Serializer(serializers.ModelSerializer):
class Meta:
model = GeoInfo
fields = ['coords']
# 省内数据的序列化器
class Geo3Serializer(serializers.ModelSerializer):
class Meta:
model = AnhuiGeoInfo
fields = ['value']
class Geo4Serializer(serializers.ModelSerializer):
class Meta:
model = AnhuiGeoInfo
fields = ['coords']
# 省份信息序列化器
class ProvinceInfoSerializer(serializers.ModelSerializer):
class Meta:
model = ProvinceInfo
fields = ['name', 'value']
| 21.634615
| 89
| 0.641778
| 91
| 1,125
| 7.923077
| 0.340659
| 0.252427
| 0.300971
| 0.339806
| 0.474341
| 0.307906
| 0.307906
| 0
| 0
| 0
| 0
| 0.004878
| 0.271111
| 1,125
| 51
| 90
| 22.058824
| 0.87439
| 0.089778
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| 0.050672
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| false
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| 0
| 0
| 1
| 0
|
0
| 4
|
709423185bdfdebb688bc7d5a18f61d78ced662c
| 22
|
py
|
Python
|
bifrost_min_read_check/__init__.py
|
ssi-dk/bifrost_min_read_check
|
120951280c4ca7dab07c59d73e677b701e2a5cca
|
[
"MIT"
] | null | null | null |
bifrost_min_read_check/__init__.py
|
ssi-dk/bifrost_min_read_check
|
120951280c4ca7dab07c59d73e677b701e2a5cca
|
[
"MIT"
] | 1
|
2020-08-21T07:14:36.000Z
|
2020-08-21T07:14:36.000Z
|
bifrost_min_read_check/__init__.py
|
ssi-dk/bifrost_min_read_check
|
120951280c4ca7dab07c59d73e677b701e2a5cca
|
[
"MIT"
] | null | null | null |
__version__ = 'v2_2_8'
| 22
| 22
| 0.772727
| 4
| 22
| 2.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0.15
| 0.090909
| 22
| 1
| 22
| 22
| 0.4
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| 0.26087
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
70974016c8294426ef58c0a0a53fcfaf197aee1a
| 332
|
py
|
Python
|
HW3/YaRa1312/Pleshyvtseva PythonCore HW 3.3.py
|
kolyasalubov/Lv-677.PythonCore
|
c9f9107c734a61e398154a90b8a3e249276c2704
|
[
"MIT"
] | null | null | null |
HW3/YaRa1312/Pleshyvtseva PythonCore HW 3.3.py
|
kolyasalubov/Lv-677.PythonCore
|
c9f9107c734a61e398154a90b8a3e249276c2704
|
[
"MIT"
] | null | null | null |
HW3/YaRa1312/Pleshyvtseva PythonCore HW 3.3.py
|
kolyasalubov/Lv-677.PythonCore
|
c9f9107c734a61e398154a90b8a3e249276c2704
|
[
"MIT"
] | 6
|
2022-02-22T22:30:49.000Z
|
2022-03-28T12:51:19.000Z
|
#3.3
user_ineteger_1 = int(input("Enter an integer: "))
user_integer_2 = int(input("Enter an other integer or the same as the first one: "))
def sameOrNot(user_ineteger_1, user_integer_2):
if (user_ineteger_1 ^ user_integer_2):
print("Not Same")
else:
print("Same")
sameOrNot(user_ineteger_1, user_integer_2)
| 36.888889
| 84
| 0.713855
| 54
| 332
| 4.092593
| 0.425926
| 0.217195
| 0.235294
| 0.230769
| 0.420814
| 0.420814
| 0.307692
| 0
| 0
| 0
| 0
| 0.036364
| 0.171687
| 332
| 9
| 85
| 36.888889
| 0.767273
| 0.009036
| 0
| 0
| 0
| 0
| 0.25228
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0
| 0
| 0
| 0.125
| 0.25
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
56149181b9ac3f4c3f13a262ec51ccae2f8c900c
| 193
|
py
|
Python
|
django_amenities/apps.py
|
okfde/django-amenities
|
a5522e33e27deb93a2ed49f89a6d9222fc146523
|
[
"MIT"
] | 1
|
2020-09-17T12:27:04.000Z
|
2020-09-17T12:27:04.000Z
|
django_amenities/apps.py
|
okfde/django-amenities
|
a5522e33e27deb93a2ed49f89a6d9222fc146523
|
[
"MIT"
] | null | null | null |
django_amenities/apps.py
|
okfde/django-amenities
|
a5522e33e27deb93a2ed49f89a6d9222fc146523
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
from django.utils.translation import gettext_lazy as _
class AmenitiesConfig(AppConfig):
name = 'django_amenities'
verbose_name = _("Amenities App")
| 24.125
| 54
| 0.777202
| 23
| 193
| 6.304348
| 0.695652
| 0.137931
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.150259
| 193
| 7
| 55
| 27.571429
| 0.884146
| 0
| 0
| 0
| 0
| 0
| 0.150259
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
56415df55959a03e911d73640e65d94b304b6856
| 161
|
py
|
Python
|
pybamm/models/submodels/thermal/__init__.py
|
manjunathnilugal/PyBaMM
|
65d5cba534b4f163670e753714964aaa75d6a2d2
|
[
"BSD-3-Clause"
] | 330
|
2019-04-17T11:36:57.000Z
|
2022-03-28T16:49:55.000Z
|
pybamm/models/submodels/thermal/__init__.py
|
masoodtamaddon/PyBaMM
|
a31e2095600bb92e913598ac4d02b2b6b77b31c1
|
[
"BSD-3-Clause"
] | 1,530
|
2019-03-26T18:13:03.000Z
|
2022-03-31T16:12:53.000Z
|
pybamm/models/submodels/thermal/__init__.py
|
masoodtamaddon/PyBaMM
|
a31e2095600bb92e913598ac4d02b2b6b77b31c1
|
[
"BSD-3-Clause"
] | 178
|
2019-03-27T13:48:04.000Z
|
2022-03-31T09:30:11.000Z
|
from .base_thermal import BaseThermal
from .isothermal import Isothermal
from .lumped import Lumped
from .x_full import OneDimensionalX
from . import pouch_cell
| 26.833333
| 37
| 0.84472
| 22
| 161
| 6.045455
| 0.545455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.124224
| 161
| 5
| 38
| 32.2
| 0.943262
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
566e601ac7f314a0c7263784d0d159ced84a93ad
| 201
|
py
|
Python
|
src/expression_evaluator/operators/basic/in_operator.py
|
Xett/expression_evaluator
|
eca895d79f015843a262e9636b86c6dd3d06a69d
|
[
"MIT"
] | null | null | null |
src/expression_evaluator/operators/basic/in_operator.py
|
Xett/expression_evaluator
|
eca895d79f015843a262e9636b86c6dd3d06a69d
|
[
"MIT"
] | null | null | null |
src/expression_evaluator/operators/basic/in_operator.py
|
Xett/expression_evaluator
|
eca895d79f015843a262e9636b86c6dd3d06a69d
|
[
"MIT"
] | null | null | null |
from expression_evaluator.token import *
class InOperator(BasicOperator):
symbols = ['in']
priority = PriorityLevel.String
@classmethod
def _function(cls, a, b):
return a in b
| 22.333333
| 40
| 0.681592
| 23
| 201
| 5.869565
| 0.869565
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.228856
| 201
| 9
| 41
| 22.333333
| 0.870968
| 0
| 0
| 0
| 0
| 0
| 0.009901
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0.142857
| 0.142857
| 0.857143
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
5677a8de826460d6b3962eb6561558b2f7259736
| 244
|
py
|
Python
|
cachex/decorator/CacheParameters.py
|
malversoft/cachex
|
8b4d5086c9553c50e91470a2e9a635bf22cde68d
|
[
"MIT"
] | null | null | null |
cachex/decorator/CacheParameters.py
|
malversoft/cachex
|
8b4d5086c9553c50e91470a2e9a635bf22cde68d
|
[
"MIT"
] | null | null | null |
cachex/decorator/CacheParameters.py
|
malversoft/cachex
|
8b4d5086c9553c50e91470a2e9a635bf22cde68d
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from .CacheDefaults import CacheDefaults
from ..caches.AbstractCacheParameters import AbstractCacheParameters
class CacheParameters(AbstractCacheParameters):
"""Decorator parameters."""
_defaults = CacheDefaults()
| 22.181818
| 68
| 0.786885
| 19
| 244
| 10.052632
| 0.684211
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004587
| 0.106557
| 244
| 10
| 69
| 24.4
| 0.87156
| 0.180328
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 1
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
56835f197330807710a910c73580f2e27a16947f
| 8,934
|
py
|
Python
|
examples/temp_bubbles/plot_sweep_results.py
|
SamuelBrand1/covid-19-in-households-public
|
a0740d85f8f9fb1ae67dbd9c5a92f1085e4d9ea1
|
[
"Apache-2.0"
] | null | null | null |
examples/temp_bubbles/plot_sweep_results.py
|
SamuelBrand1/covid-19-in-households-public
|
a0740d85f8f9fb1ae67dbd9c5a92f1085e4d9ea1
|
[
"Apache-2.0"
] | null | null | null |
examples/temp_bubbles/plot_sweep_results.py
|
SamuelBrand1/covid-19-in-households-public
|
a0740d85f8f9fb1ae67dbd9c5a92f1085e4d9ea1
|
[
"Apache-2.0"
] | null | null | null |
'''This plots the bubble results
'''
from pickle import load
from numpy import array, atleast_2d, hstack, where, zeros
from matplotlib.pyplot import close, subplots
from examples.temp_bubbles.common import DataObject
from seaborn import heatmap
no_i_vals = 3
no_j_vals = 3
peaks_1 = zeros((no_i_vals,no_j_vals))
peaks_2 = zeros((no_i_vals,no_j_vals))
peaks_3 = zeros((no_i_vals,no_j_vals))
peaks_4 = zeros((no_i_vals,no_j_vals))
jan_antiprev_1 = zeros((no_i_vals,no_j_vals))
jan_antiprev_2 = zeros((no_i_vals,no_j_vals))
jan_antiprev_3 = zeros((no_i_vals,no_j_vals))
jan_antiprev_4 = zeros((no_i_vals,no_j_vals))
for i in range(no_i_vals):
filename_stem = 'outputs/temp_bubbles/sweep_results_' + str(i)
with open(filename_stem + '.pkl', 'rb') as f:
unmerged_population,baseline_H, baseline_time, baseline_S, baseline_E, baseline_I, baseline_R = load(f)
ave_hh_size = unmerged_population.ave_hh_size
fig, ax = subplots(1, 1, sharex=True)
print(baseline_time.shape)
print(baseline_E.shape)
ax.plot(baseline_time, baseline_E, label='E')
ax.plot(baseline_time, baseline_I, label='I')
ax.plot(baseline_time, baseline_R, label='R')
ax.legend(ncol=1, bbox_to_anchor=(1,0.50))
fig.savefig('sweep_baseline_epidemic' + str(i) +'.png', bbox_inches='tight', dpi=300)
close()
for j in range(no_j_vals):
filename = filename_stem + str(j)
with open(filename + '.pkl', 'rb') as f:
merged_population2, merged_population3, merged_output = load(f)
fig, ax = subplots(1, 1, sharex=True)
lgd=['No bubbling','Policy 1',
'Policy 2',
'Policy 3',
'Policy 4',]
merge_I_1 = (1/3) * merged_output.H_merge_1.T.dot(
merged_population3.states[:, 2] + merged_population3.states[:, 6] +
merged_population3.states[:, 10])/ave_hh_size
postmerge_I_1 = merged_output.H_postmerge_1.T.dot(unmerged_population.states[:, 2])/ave_hh_size
peaks_1[i,j] = max(hstack((merge_I_1, postmerge_I_1)))
merge_R_1 = (1/3) * merged_output.H_merge_1.T.dot(
merged_population3.states[:, 3] + merged_population3.states[:, 7] +
merged_population3.states[:,11])/ave_hh_size
postmerge_R_1 = merged_output.H_postmerge_1.T.dot(unmerged_population.states[:, 3])/ave_hh_size
jan_antiprev_1[i,j] = postmerge_R_1[-1]
merge_I_2 = (1/2) * merged_output.H_merge_2.T.dot(
merged_population2.states[:, 2] + merged_population2.states[:, 6])/ave_hh_size
postmerge_I_2 = merged_output.H_postmerge_2.T.dot(unmerged_population.states[:, 2])/ave_hh_size
peaks_2[i,j] = max(hstack((merge_I_2, postmerge_I_2)))
merge_R_2 = (1/2) * merged_output.H_merge_2.T.dot(
merged_population2.states[:, 3] + merged_population2.states[:, 7])/ave_hh_size
postmerge_R_2 = merged_output.H_postmerge_2.T.dot(unmerged_population.states[:, 3])/ave_hh_size
jan_antiprev_2[i,j] = postmerge_R_2[-1]
merge_I_3 = (1/2) * merged_output.H_merge_3.T.dot(
merged_population2.states[:, 2] + merged_population2.states[:, 6])/ave_hh_size
postmerge_I_3 = merged_output.H_postmerge_3.T.dot(unmerged_population.states[:, 2])/ave_hh_size
peaks_3[i,j] = max(hstack((merge_I_3, postmerge_I_3)))
merge_R_3 = (1/2) * merged_output.H_merge_3.T.dot(
merged_population2.states[:, 3] + merged_population2.states[:, 7])/ave_hh_size
postmerge_R_3 = merged_output.H_postmerge_3.T.dot(unmerged_population.states[:, 3])/ave_hh_size
jan_antiprev_3[i,j] = postmerge_R_3[-1]
merge_I_4 = (1/2) * merged_output.H_merge_4.T.dot(
merged_population2.states[:, 2] + merged_population2.states[:, 6])/ave_hh_size
postmerge_I_4 = merged_output.H_postmerge_4.T.dot(unmerged_population.states[:, 2])/ave_hh_size
peaks_4[i,j] = max(hstack((merge_I_4, postmerge_I_4)))
merge_R_4 = (1/2) * merged_output.H_merge_4.T.dot(
merged_population2.states[:, 3] + merged_population2.states[:, 7])/ave_hh_size
postmerge_R_4 = merged_output.H_postmerge_4.T.dot(unmerged_population.states[:, 3])/ave_hh_size
jan_antiprev_4[i,j] = postmerge_R_4[-1]
ax.plot(baseline_time, 100*baseline_R, label=lgd[0])
ax.plot(hstack((merged_output.t_merge_1,merged_output.t_postmerge_1)),100*hstack((merge_R_1,postmerge_R_1)), label=lgd[1])
ax.plot(hstack((merged_output.t_merge_2,merged_output.t_postmerge_2)),100*hstack((merge_R_2,postmerge_R_2)), label=lgd[2])
ax.plot(hstack((merged_output.t_merge_3,merged_output.t_postmerge_3)),100*hstack((merge_R_3,postmerge_R_3)), label=lgd[3])
ax.plot(hstack((merged_output.t_merge_4,merged_output.t_postmerge_4)),100*hstack((merge_R_4,postmerge_R_4)), label=lgd[4])
ax.set_xlabel('Time in days')
ax.set_ylabel('Percentage recovered')
ax.set_xlim([340,395])
# ax.set_ylim([5.5,9.0])
ax.legend(ncol=1, bbox_to_anchor=(1,0.50))
fig.savefig('R_by_strategy_sweep' + str(i) + str(j) + '.png', bbox_inches='tight', dpi=300)
close()
fig, ax = subplots(1, 1, sharex=True)
ax.plot(baseline_time, 100*baseline_I, label=lgd[0])
ax.plot(hstack((merged_output.t_merge_1,merged_output.t_postmerge_1)),100*hstack((merge_I_1,postmerge_I_1)), label=lgd[1])
ax.plot(hstack((merged_output.t_merge_2,merged_output.t_postmerge_2)),100*hstack((merge_I_2,postmerge_I_2)), label=lgd[2])
ax.plot(hstack((merged_output.t_merge_3,merged_output.t_postmerge_3)),100*hstack((merge_I_3,postmerge_I_3)), label=lgd[3])
ax.plot(hstack((merged_output.t_merge_4,merged_output.t_postmerge_4)),100*hstack((merge_I_4,postmerge_I_4)), label=lgd[4])
ax.set_xlabel('Time in days')
ax.set_ylabel('Percentage infectious')
ax.set_xlim([340,395])
# ax.set_ylim([0,1])
ax.legend(ncol=1, bbox_to_anchor=(1,0.50))
fig.savefig('I_by_strategy_sweep' + str(i) + str(j) + '.png', bbox_inches='tight', dpi=300)
close()
pol_label = []
for pol in range(4):
pol_label.append('Policy'+str(pol+1))
peaks_min = array([peaks_1.min(),peaks_2.min(),peaks_3.min(),peaks_4.min()]).min()
peaks_max = array([peaks_1.max(),peaks_2.max(),peaks_3.max(),peaks_4.max()]).max()
fig, ax = subplots(1,1,sharex=True)
heatmap(peaks_1,square=True, vmin=peaks_min, vmax=peaks_max)
ax.set_title(pol_label[0])
ax.set_ylabel('Single household density exponent')
ax.set_xlabel('Bubbled density exponent')
fig.savefig('peaks_1.png',bbox_inches='tight', dpi=300)
close()
fig, ax = subplots(1,1,sharex=True)
heatmap(peaks_2,square=True, vmin=peaks_min, vmax=peaks_max)
ax.set_title(pol_label[1])
ax.set_ylabel('Single household density exponent')
ax.set_xlabel('Bubbled density exponent')
fig.savefig('peaks_2.png',bbox_inches='tight', dpi=300)
close()
fig, ax = subplots(1,1,sharex=True)
heatmap(peaks_3,square=True, vmin=peaks_min, vmax=peaks_max)
ax.set_title(pol_label[2])
ax.set_ylabel('Single household density exponent')
ax.set_xlabel('Bubbled density exponent')
fig.savefig('peaks_3.png',bbox_inches='tight', dpi=300)
close()
fig, ax = subplots(1,1,sharex=True)
heatmap(peaks_4,square=True, vmin=peaks_min, vmax=peaks_max)
ax.set_title(pol_label[3])
ax.set_ylabel('Single household density exponent')
ax.set_xlabel('Bubbled density exponent')
fig.savefig('peaks_4.png',bbox_inches='tight', dpi=300)
close()
antiprev_min = array([jan_antiprev_1.min(),jan_antiprev_2.min(),jan_antiprev_3.min(),jan_antiprev_4.min()]).min()
antiprev_max = array([jan_antiprev_1.max(),jan_antiprev_2.max(),jan_antiprev_3.max(),jan_antiprev_4.max()]).max()
fig, ax = subplots(1,1,sharex=True)
heatmap(jan_antiprev_1,square=True, vmin=antiprev_min, vmax=antiprev_max)
ax.set_title(pol_label[0])
ax.set_ylabel('Single household density exponent')
ax.set_xlabel('Bubbled density exponent')
fig.savefig('jan_antiprev_1.png',bbox_inches='tight', dpi=300)
close()
fig, ax = subplots(1,1,sharex=True)
heatmap(jan_antiprev_2,square=True, vmin=antiprev_min, vmax=antiprev_max)
ax.set_title(pol_label[1])
ax.set_ylabel('Single household density exponent')
ax.set_xlabel('Bubbled density exponent')
fig.savefig('jan_antiprev_2.png',bbox_inches='tight', dpi=300)
close()
fig, ax = subplots(1,1,sharex=True)
heatmap(jan_antiprev_3,square=True, vmin=antiprev_min, vmax=antiprev_max)
ax.set_title(pol_label[2])
ax.set_ylabel('Single household density exponent')
ax.set_xlabel('Bubbled density exponent')
fig.savefig('jan_antiprev_3.png',bbox_inches='tight', dpi=300)
close()
fig, ax = subplots(1,1,sharex=True)
heatmap(jan_antiprev_4,square=True, vmin=antiprev_min, vmax=antiprev_max)
ax.set_title(pol_label[3])
ax.set_ylabel('Single household density exponent')
ax.set_xlabel('Bubbled density exponent')
fig.savefig('jan_antiprev_4.png',bbox_inches='tight', dpi=300)
close()
| 42.542857
| 130
| 0.71323
| 1,482
| 8,934
| 3.978408
| 0.087719
| 0.067164
| 0.027476
| 0.026119
| 0.785278
| 0.765604
| 0.752374
| 0.714552
| 0.679444
| 0.658243
| 0
| 0.043744
| 0.137676
| 8,934
| 209
| 131
| 42.746411
| 0.721573
| 0.008059
| 0
| 0.373418
| 0
| 0
| 0.097583
| 0.006551
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.031646
| 0
| 0.031646
| 0.012658
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
56868508641f95c8037312c6e71d709a9b56a1e6
| 229
|
py
|
Python
|
mmdet/models/utils/builder.py
|
SuhyunL/Fashion-Object-Detection
|
5870189a65f7c5d009beb763c34fefd029b9cce5
|
[
"Apache-2.0"
] | 326
|
2021-05-06T01:15:09.000Z
|
2022-03-30T14:52:13.000Z
|
mmdet/models/utils/builder.py
|
MCG-NJU/AdaMixer
|
7cd998826da5f38e698cebb9a619bc322462a5db
|
[
"MIT"
] | 39
|
2021-05-20T02:54:40.000Z
|
2022-03-31T09:16:46.000Z
|
mmdet/models/utils/builder.py
|
MCG-NJU/AdaMixer
|
7cd998826da5f38e698cebb9a619bc322462a5db
|
[
"MIT"
] | 46
|
2021-05-08T22:25:27.000Z
|
2022-03-28T08:11:51.000Z
|
from mmcv.utils import Registry, build_from_cfg
TRANSFORMER = Registry('Transformer')
def build_transformer(cfg, default_args=None):
"""Builder for Transformer."""
return build_from_cfg(cfg, TRANSFORMER, default_args)
| 25.444444
| 57
| 0.772926
| 29
| 229
| 5.862069
| 0.517241
| 0.105882
| 0.141176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126638
| 229
| 8
| 58
| 28.625
| 0.85
| 0.104803
| 0
| 0
| 0
| 0
| 0.055276
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
568b420e2b194c6e850383a0e1263c01a6a582cb
| 299
|
py
|
Python
|
nilearn/decoding/__init__.py
|
sahahn/nilearn
|
642399137b923e273b396a1c33aa06b8081089b7
|
[
"BSD-2-Clause"
] | null | null | null |
nilearn/decoding/__init__.py
|
sahahn/nilearn
|
642399137b923e273b396a1c33aa06b8081089b7
|
[
"BSD-2-Clause"
] | null | null | null |
nilearn/decoding/__init__.py
|
sahahn/nilearn
|
642399137b923e273b396a1c33aa06b8081089b7
|
[
"BSD-2-Clause"
] | null | null | null |
"""
Decoding tools and algorithms.
"""
from .searchlight import SearchLight
from .space_net import SpaceNetClassifier, SpaceNetRegressor
from .decoder import Decoder, DecoderRegressor
__all__ = ['SearchLight', 'SpaceNetClassifier', 'SpaceNetRegressor', 'Decoder',
'DecoderRegressor']
| 23
| 79
| 0.762542
| 25
| 299
| 8.92
| 0.56
| 0.313901
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140468
| 299
| 12
| 80
| 24.916667
| 0.867704
| 0.100334
| 0
| 0
| 0
| 0
| 0.264368
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.6
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
568b4f13f51fbd3e746104f8badc5ad0334c142c
| 379
|
py
|
Python
|
acq4/devices/MockPressureControl.py
|
campagnola/acq4
|
09699c07d8949950f6df149cf17892aaa3a37402
|
[
"MIT"
] | 47
|
2015-01-05T16:18:10.000Z
|
2022-03-16T13:09:30.000Z
|
acq4/devices/MockPressureControl.py
|
acq4/acq4
|
c77636a76d68ffa1bc7dbd41edc522e523b909b8
|
[
"MIT"
] | 48
|
2015-04-19T16:51:41.000Z
|
2022-03-31T14:48:16.000Z
|
acq4/devices/MockPressureControl.py
|
acq4/acq4
|
c77636a76d68ffa1bc7dbd41edc522e523b909b8
|
[
"MIT"
] | 32
|
2015-01-15T14:11:49.000Z
|
2021-07-15T13:44:52.000Z
|
from acq4.devices.PressureControl import PressureControl
class MockPressureControl(PressureControl):
def _setPressure(self, p):
self.pressure = p
def getPressure(self):
return getattr(self, "pressure", 10)
def _setSource(self, source):
self.source = source
def getSource(self):
return getattr(self, "source", self.sources[0])
| 23.6875
| 56
| 0.680739
| 41
| 379
| 6.243902
| 0.512195
| 0.117188
| 0.132813
| 0.164063
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013514
| 0.218997
| 379
| 15
| 57
| 25.266667
| 0.851351
| 0
| 0
| 0
| 0
| 0
| 0.036939
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0.1
| 0.2
| 0.8
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
3b17829d2a52135864702c72229a5562364d0705
| 130
|
py
|
Python
|
src/cascade/input_data/configuration/sex.py
|
adolgert/cascade
|
2084e07c9ee5e901dd407b817220de882c7246a3
|
[
"MIT"
] | null | null | null |
src/cascade/input_data/configuration/sex.py
|
adolgert/cascade
|
2084e07c9ee5e901dd407b817220de882c7246a3
|
[
"MIT"
] | null | null | null |
src/cascade/input_data/configuration/sex.py
|
adolgert/cascade
|
2084e07c9ee5e901dd407b817220de882c7246a3
|
[
"MIT"
] | null | null | null |
SEX_ID_TO_NAME = {
1: "male",
2: "female",
3: "both",
}
SEX_NAME_TO_ID = {v: k for (k, v) in SEX_ID_TO_NAME.items()}
| 16.25
| 60
| 0.561538
| 25
| 130
| 2.56
| 0.6
| 0.15625
| 0.21875
| 0.34375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.030612
| 0.246154
| 130
| 7
| 61
| 18.571429
| 0.622449
| 0
| 0
| 0
| 0
| 0
| 0.107692
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
3b1a2bad79b0569b3ffa94c11cc30ebadfab7c45
| 139
|
py
|
Python
|
python/dragonradio/dragonradio/net/__init__.py
|
drexelwireless/dragonradio
|
885abd68d56af709e7a53737352641908005c45b
|
[
"MIT"
] | 8
|
2020-12-05T20:30:54.000Z
|
2022-01-22T13:32:14.000Z
|
python/dragonradio/dragonradio/net/__init__.py
|
drexelwireless/dragonradio
|
885abd68d56af709e7a53737352641908005c45b
|
[
"MIT"
] | 3
|
2020-10-28T22:15:27.000Z
|
2021-01-27T14:43:41.000Z
|
python/dragonradio/dragonradio/net/__init__.py
|
drexelwireless/dragonradio
|
885abd68d56af709e7a53737352641908005c45b
|
[
"MIT"
] | null | null | null |
# Copyright 2021 Drexel University
# Author: Geoffrey Mainland <mainland@drexel.edu>
try:
from _dragonradio.net import *
except:
pass
| 17.375
| 49
| 0.76259
| 17
| 139
| 6.176471
| 0.882353
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.034188
| 0.158273
| 139
| 7
| 50
| 19.857143
| 0.863248
| 0.57554
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.25
| 0.25
| 0
| 0.25
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
3b2dfadc0723866c776dd2e832a0bd0837f7b239
| 246
|
py
|
Python
|
run/depla/experiment/__init__.py
|
KinakomochiBotan/depla
|
e2c530f7fe5fc8fe185f0f789738fa7fc52bdeca
|
[
"MIT"
] | null | null | null |
run/depla/experiment/__init__.py
|
KinakomochiBotan/depla
|
e2c530f7fe5fc8fe185f0f789738fa7fc52bdeca
|
[
"MIT"
] | null | null | null |
run/depla/experiment/__init__.py
|
KinakomochiBotan/depla
|
e2c530f7fe5fc8fe185f0f789738fa7fc52bdeca
|
[
"MIT"
] | null | null | null |
from .experiment import Experiment
from .experiment1 import Experiment1
from .experiment2 import Experiment21, Experiment22, Experiment23
from .experiment3 import Experiment31, Experiment32, Experiment33, Experiment34, Experiment35, Experiment36
| 49.2
| 107
| 0.861789
| 23
| 246
| 9.217391
| 0.652174
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.098655
| 0.093496
| 246
| 4
| 108
| 61.5
| 0.852018
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
3b70e4c1e7bc801d960c67b7f02acbf422800456
| 11,178
|
py
|
Python
|
consensus_and_profile.py
|
ivanmilevtues/BioInformatic
|
5cb8f3a51f08d6a39732ec2feecc531e11f97797
|
[
"MIT"
] | null | null | null |
consensus_and_profile.py
|
ivanmilevtues/BioInformatic
|
5cb8f3a51f08d6a39732ec2feecc531e11f97797
|
[
"MIT"
] | null | null | null |
consensus_and_profile.py
|
ivanmilevtues/BioInformatic
|
5cb8f3a51f08d6a39732ec2feecc531e11f97797
|
[
"MIT"
] | null | null | null |
import pprint
def parse_input(data):
result = {}
for el in data.split('>'):
if el =='\n':
continue
result[el[:14]] = el[14:].strip().replace('\n', '')
pprint.pprint(result)
return result
def make_profile(data):
dna_strings = []
for _, v in data.items():
if len(v):
dna_strings.append([ch for ch in v])
dna_len = len(dna_strings[0])
# initialize profile with 0s
profile = {}
profile['A'] = [0 for i in range(dna_len)]
profile['C'] = [0 for i in range(dna_len)]
profile['G'] = [0 for i in range(dna_len)]
profile['T'] = [0 for i in range(dna_len)]
for col in range(dna_len):
for row in range(len(dna_strings)):
profile[dna_strings[row][col]][col] += 1
output(profile, dna_len)
def output(data, dna_len):
output_string = ''
for i in range(dna_len):
max_k = ''
max_v = 0
for k, v in data.items():
if v[i] > max_v:
max_v, max_k = v[i], k
output_string += max_k
print(output_string)
for k, v in data.items():
print(k, end=': ')
for ch in v:
print(ch, end=' ')
print()
def main():
data = """
>Rosalind_7877
TACGATTCGGGTACATTAGTCCGCTTGTGGACTTAGCTTAGATTAGTAAACATTTTTCGA
GGACTGATCGACCTCTCTAGAACTGAATAGCCGGGAACTAGCTTCGCGACAACTTGTACT
GGGGCACCTTATTGACGTTAGGGTACGAACCCTATTACCGGTGTTCACCGATTAGACCGC
CCTAATCGAGCACGAAGCGGCATACGAACTAAAAGAACATTAAAGGATGAAGTTCTGGCA
TTAGATGTGTGTAACGTCTCGGTCGCTCAGTGGGCCAAGTAGGGTCACGGAGAGGCCTCT
TAAGCGACGTTTTATAGCATTTTTGGTCTCCATGAGTACGCGTAACGTATAGCGTCCCAC
TCACAGCCATCGTCACGATTAGCAATTTAACACTCGCTCCATAGGGTCTCGCGTGTCTGA
GCGCTGCGTGTTTCCCCCCTGTTCACTTGAACTAGTAGATCGTGTAGGGGACACTTCTGG
AGAGACTTGATATAGGTCAAAAGGAAAACCTCGTCATGACGGACCAAACCCGGATAACTT
GGACTAGGCCCAACAAATAGGGCTTTACTTAGACCTTAAGAGTATAACGGTATCTACGTC
AATATGTGGACATCTATGCTATAAACGTCTACAAAGGCTCGAAGCGTGGTTTGCCCATTT
CATCCGAGAATCCTCATGTCGGTGTGGCCTAAACTTGCGGTATTGGGAGGGGGCTGATCT
GTCCCAGACGTCCAAAACGATTGTGCAGGTCGCAGGCACGAGGTTAGATTTAACACGCCT
TTCCCCTTCAGCTCTTGCGTGTCATTCGAGTCTAATGCTGATGCGGTAGACGGCCATATA
AGGCGGAACCCGTGACCTTCGAGACAGCCGAGAATCGTTACTAGGACTATCTAAATAACC
AAAACCTGGTGGTCGCCAAACGCATTGCAAACCATACGAGGGTTTATCCA
>Rosalind_9115
CAAAAGCGCTCCAGCTACGCACAGATCGCTTGATACGCACCCCACTGATTAATATTCTCA
GACCGTTACGTTAAACCTTGCAGGGTAAGATTATTCAGCGTAGCACTGCGCCTGGCGCAA
CCCAGGCCAGTTGAAATCTCCTATGTTGTACGCACGCACTCCATGGTAGTCGTCCCTAAG
TATCCACTGGGAAAGGTGCTCTAACCAAGGCCCCAAGGAAGCGGTGCTCGTTGGTAGTAG
TAGAGCGGCGACATTCATCTAGCAGCGTCAAAGATCCTTGTTTAGGACTCTTTGGTCAGG
CATCAACAGCCACCCTGGTGCCTGGCGATAATAAATCGCGGGCCCGCTAAAGTTGTTCAA
GGTTACAATTGCGAGTTCCCAGTGGTATGTCACCTCAAACGCCCACTGTGACGAAAATAG
GCAGGGCGTTTTCGCGATACCCTCTTGCCGTTGTGTGCGAACCATCTCACGTAGACGCGA
CACGGAAATGACACATATTATAACCGTCACTTTCGCGATATTGTAGCAGCCTCTTACGCA
CTTACACGTAATCCATCACCCGTATTGCCTGTCATTACGCTGCGCCATGAGTCACGTAAT
AAACTGGAATCCTTCCCGATGGGATCCGCTCAAGGAACAAAACACCGCTTTACAGTTTTG
GCAAAGCCAGAAACTAGAACAGTCAATACTGCCATTCACGGGGCAAAACGCCGACGACGA
GCATATGCATCTGGACTTAGAATATGGCGACTCCCAATCTCCATCGCGAGCCGAACCTAA
GCAGCGGCGCTTGACCTTCCGAGTCAGGACACAATTGTGGAAAGACATAAGAGGAGGTTC
CTTCCGATGCTATCCCGAGATGGCACACCTCCCAGAATATTTCCTAAACCCCTGACGTTA
GGCGCGGCGTAGGATGGTGAGGTCACCTGCCCATGACCGCATAGATTGCG
>Rosalind_0640
CGAATGATACTCGTACTCTCCAACATTTCATAAGCAAATAGATACTCCCACATTTGCGAA
TTCACGAGTAGCGAGCAGGCCTATAACGCTGCTTGGTTAGTTGCTTCGGTAACGTACCGG
ATCTGGCGTAACTCAATAATTGTGCTACCTATGCTCAAATGCTATTCACAGACTCTCCAT
CACGTCGGGACCCCGAATATGTTTTTATACAGCTAAGTACGCCAGCAAAACGACGTAACG
AGTTTCGGTTATTCAATGAGCAGACCCTGATACGGATCGACTACCGTAACTGTCAACGTG
AGGGTGAAAGAGAAGGTAATTGTCGTATGCTAAGGCGGGTATGCGACGGGGTTGCGAACT
CCGGAGGAGTTAGACTGTCGCGATATCTTCACGTACTGCACAAAGCCTACCAGTTATAAG
GTAAAGGTCCCCCGTTGTCAAATCTGAGAGGCGCTCCCAAAGATGGCTAGACACCACCTT
AGCGCACGGCTCGGATTATATACTTAAGAGACTAAACCCTCCCCGTAGAGACGCAGGCGG
TTAAAACTAGAACAGGCACTTGAAGTTACCCGGAACGCTACCTGCTAATTTCAGCTGTTC
TTGGTACCACTTCAGGCAGCTCCGGCAACAAGGCCTCTCCGTTAGTCAATATGGACACTG
CATTAGGCGTAGGGATGTCAGGGAGCACTTGTGCAGACGGATAGCTCGAAGCCGCTGGCG
TCCGAGAATCTCCTAGAGGATACGATCGTTAATGCAGTAAGCACACCCTCCTAGACCTCT
CTTGCGGTCGCTGGCCCTTGGGCAGTGCAACCAACACCATCCGATCTTATAGCCCGCGCA
TACACAATGCTCGCCAGTGAATACCGGAGGCTAGGCCTGCAAAACTCTGGCGATGGTGGA
GACAATTGTTCTCCCGGGAGGGGCTGGGTTAAGCGCTAATCTGACCCTAC
>Rosalind_9012
TTCCTACCTTGATCGTGGTTATCAGCGGTCGTGGGTAGGGAACTGGAGAGTTACAATCAT
ACACAACCGCTACTAATCACAACTCTCGTTTTGAACCGCTGTCCAGCCGGCGGATGACCA
CGTAAGTGAACTTCGGAATCACCTGCGGTGCATTGTAAAAGAGCAGCTCAGCAAACACAG
CCTGCAAGGGTCCATAATAAGGCCAAGGCCACCAACCACCCAGACTAAGATCACATCCGG
AACGGGCCTTAAACGTTTTGTGCCTGTCCAGGTCGCGCTCTTTTTAGGAAATACGAAATT
CCTGGGTAGAATTTCGCCAGATCGTTCGGTAAAGTAAAGAGGTACCTTGGATCGAATCAA
GAATAGCGCTTTGTTTTGCGACTCAGAACGGGTAATTTTTTTTTGCACGCAATTGCCACA
GAAAGACAGGTGGTGCGGTGGGCATTACTTTAGTGTACTGGGACGGACTCGCTTCCTCCA
AGAAGCCTTCAATATCATTGGCTGCGTGGTTTGTTCAGGCTCGCGGACCCGACTGCTCGG
AGTAACGCACGGCTGTTGTCATCGACACGGGAGAACGATTGTCTCTAGCTTGTTATCCGG
ATCTGGAGGCCCGATAGTGTATCATCCCTTACCCCCCCGACGTGAATCAACCAGTGTATA
GTTGAAGAACAAGGGACCACATGGTAAGATCCGAAGAACTTGCCCCCGAACTACAGAGAA
GACGACCGTCTTCGGCTCGTATGAAAAGTCTGTAGCAAGCGATGTATGGCTGTGCAGTAG
TAGGTTTGCTATCCACGTGATAGTCGCCCATGACACAGAGTAGGGTACGAGGGGAGGCGG
TGACGTTACGGCGTAACGTCACCCCGGGTCATGACGATATGGGTCGCCATTGATTTGATT
GTGCCTTGCATCTGCAGTTGGTTCGACAACGGTGGTTGACGCATCTCATG
>Rosalind_6116
AGCAGGATTGAGCGCACGGTGGGTACGTTTACACTATCAGCGTCAGTAGAGTGAGGTCGG
CACTAGTACATCGTAGAGTTGAAAACAAGGCCTGCACGTCGGCGTGCCATTTGCACTCAT
AGTCCTTCGCTACGAGCTAATAGGAATTTCGGGGGATCAAACTCCGCACCATACGATAGT
TTATATAGGTCAGGCGTCTCACTAATCTTTAACCGACACATATAATCACAAATAGAGATT
GTCGATCTCGCAGTATAATATACGATCAGAACAGTGGGGCCCGGCGCCAGTTCCACGGCG
CATGGCAGGCATTTTGGTGTTGTCGCTGTACGAAAATTTGGATCAGACCCTGCTAAATTT
CAGCCAAGACTCGACCTCGCTTTCAGGATTAAGCGGTCTAGATCCCGATCGCCATTTTCC
CCGTTGTCCCACTGGGAACACCTACAGTAGGTACCAGACCACGCACTGAATACGGTTAAG
GCGAGCCCTTCTCCTACATCATTTATTCCTGGTCATACATTCATCTCAAGGAGTGATTGG
TACGTCCATGCTGATTTAATCACACGGTTAGCTCATATATGAAGCAAGAGTGTCATGTAT
ATGTTAGTTAACGACAAAGCTAAGCCCGGGGGGCAACTGGATAGTCACTCTGCTGGGGCC
TTACCGCAGCGGACTCCGTTCAAACGTATAATTTAAATTTATCCATTTGTGTAATGGAAG
ACCGCTATTGTCATCCGATAAGCTGGTAGAACAATATAAGTCGCCATGGGTAGTTCTTTC
GTATGCGTAGGATCGCGTCGGCTTTTCCGATAACCCCGCATTCGACCAAGTTGTCGTCGA
CTGCCAGTAGTAATTACTTTTGGGTATGCGGAGTCGATACTCTTTGAAACCAGAGAGTTT
GAGGGCAAGCCTGCTCCATTGACACCTTGAAAAGTATGAGCTCCCTAGAA
>Rosalind_4523
TCGCGTTTTATCCAGGCTGAGATAAGGGGCCTGTCTTGCGCAAATGATTCCCGCATGAAA
TGAACCCGCCGTAAGCTTCAGCTTTCGATAACATACTGTGCGTTCGGTACAAGGATAACT
TAAAACCTCTCGAGCTAGAAACGTAGAATGTCCTTAGCCAGGGTTCTCCAAGTACAGTCT
AGGCGGTGTAGTGTGATACAGCCGGTGGCATCTCTCCTTTGACTACTCTTAGGTGCCCTC
GCTCGACGCATGGAAGAGCCGGATAAAACAGAGTGGAGTACACTCGCTGAAAACCACCTA
TTCAGGCCTACCGCAAAGGCATGCAACGTAACGTACGGAGTTGCATATTAAAAGGCACAC
TGACGCGAACCGAAAGCCGGGTCGGTGATCGGCGTCATCGTATATCACGCATTGCAGTGG
CAGCGTATTACTCTGGTAACCGAACGACCTTGGTCCACTACAACCCTGGCCCCAGCTATT
TTTATATAGTTCCATTTCGGGTGCTGCGTCTCGCACGCAGCAGTTTTGAGATAGGCGCCG
TTCAGGCGCCTGCTGACGTCAAAATTGCTACAGTGGCCAGAAATCTCGATCGTCGAGTAA
ATAGCCAGATACCTCGCCAAATACCTGTAACCGTCTGTCTACTGTTTTTATGGGTATCAT
CTTCAATCGTACACCTCTAGTAACATCACATGGGGGGTGAATCATGGGCATAACGGGTTT
TGGAACCGTGACCTTAAATCGGTATGTGTGTTTGGTCGTAAATGTGCGTTCACTTCGGGT
CGCCAAACGGCCGTATCGACGCTTTGTTAGGGATTTAACGGCCGCGTATGCCGGTGGCCC
TGGATACAGTGTTGGTAAAGCTCTACCAACAATGTCAAAATACTCACATCATCTTACTAA
AGAGCCCCAACGTCGAGTCGGGGGACTCGGCGATGAATAAAGTTCTTGTG
>Rosalind_9863
TTCCAACGGGCCTGAACATCTTGCCGTACCACAGACGGCGGTCAGACTGTTATGACAGAT
GTGCACATCGTCAGGTCACGGCTTGACGAGGGGGCTATTTACATATGGGGTTCCGGACTT
GATGTAACCGTGATCTAACTCATGATGAGCGCCGTTAGGGTTGGGCACCGGGCCGCGGCC
ACTCGGAGACTTCAAGATTAAGATCCTGATTATCTCCTACCCAGGGGGGAAACAATTGCA
GTCATGAGGGGCTATAATGCTTCGGCTGTGCTATCTTTGTGGGGCCTTCTTTAACACAAT
TCAACTCCGTTAAAGCTTAAAGCATTGGACGAGATAAATTTGTCAGTAGACTATACGGTC
ATCTCGGTTCCCGGCGCTGGCCAGTACCATATCGACCACAGTGTTTCCTAAAAATTCCAT
GTATAGGCGTCATGGGTCGAACCCCACGTACGCAGTCCTGAGTATGCACACACATCAGCG
ACAAAGTGACCTTATAGGTGGGCTACCTCGCTCGATCGGCCCATGAAGAAGTGTCTGCCA
TCTTCGGGGTTCCCTGGTACTTGGGTGGATGTTCCGGGAACTCTGCATCTAGATCTCTGA
TGCGGCTTGTACTCGGGTTGTCTCAAGGGGGGTTGTATGGAGGCATCTTTTGGATGATCA
CGCCTTTTCATTAATCCGCGCGCTTAGTTATCCACTTCAACCCACAACTAGTTATCCGGC
TATACGGAACCAAGTTAAGCGTAATGCGGTAGCAGACTCGCCACCACTTATTGCGTTACT
GCGATAGCGAAACTGGATTTGCTCCGAACAACCGAAAAGTAATCGGATGTGGATGATGCG
GGCCGCTTTGCCTGAGTTGGGAGTACATCTGGTGATCTGTTCTGGTGGTCATTCCACGAG
AGTACTCGAGGGCGTAGCAGATACAAGAGAAGGGCGCCGCTAGGACTAAA
>Rosalind_0174
GATATAAACGTGTGTCCCGCTACTAGGGGCCACATGTAATCAAGACTTTGTTTATATGAC
AACTTCAGGCCTTACCGATCTGGTGCCAACATGTCAATTTTCCCCTGTTCCAGTATCTAG
CCTTCATCGCTGCAGGCTTTCCGAGACAAGCAACCGCTCTTAACTACAGGCAAGACCGGG
AATACCTGTCTTAATGACGCTATGACCGGATGCGGAGTACCGCATCGTGATGCAACAACT
GTGGACAGTTAGTGTGCAGGGTCATGGAAAGGAGCAGGCGCTTACGTTTTTCGTATACAC
AACCACGAGGGGTTAACTTGTGAACAATAAGGTCCGTTAGTAGCACCTCCCCAGGGACAG
CACGGGCTCAAGGTCTTCTTCGGATGGGTTGAAACCTCTGGTCGGCGGGCGGGCACTTAG
AAAGTCGAAATCCCCACTACGATCAAGCATTCACCTTATCGGCTCGATTGGATCGTCGGA
TGGAAGGTCTACCAACCGGCTGGTCAGATTCGCTTTCTTCGATGTACATGCCGGAGTTCT
ACATGCACCAAAATTAGCTAGGGTTCCCATGGCCAAGACAACTCATCCTCACTGTGGGAA
AGAGTCTTTTGTGATCCAGTTTAGCTGGCGTCACCCCGAATGGCACACATTACATGGTCG
GACGCTGGACAGTGAGTGTTCCGCTACAACGCATCGGGCGACCCGTAAACATGTGTTACC
CGTCATGATCCACCTAACCAGAAATCAAAGAAGTACTACTTTCCGGCCATGCAACAGGAG
CGCGTCATCCTAGTGCGCTAGCCGGGCCATCCTCTAGTAGATCAGGCGTAACGCGATTCC
TTCGTAGGCATCGCGCTAATGTAGCAATAGAGAAGCACAAGCCTTCAGGGATAACCCAGT
GATTATGCACCTATCTGTTCGAAAAGGGCAAGACGGCACGGCCTCCGCGT
>Rosalind_4563
ATGACCCACTAGAAATATTTGCTGCAGCAATAAAGACGCGGTCGTTATTAAAGGACCCCA
TCAAGCACGTACACGAGTACGCGTTCACTCCCTAGGCCCGTTCAGCTGTAATGCTCTCCT
TACGCGCTAGGGGTACGCAGAGTTTCTATTTCCCGCCTCCAATTATCGTATTTGCCCGCG
GCCTTCCGGGCGTCGCTTTATTTCGCCAATACTCGCATCGCGCTCGCACCGCCGTCTGGG
GCAGGTTGATACCTGGCACATGTCTCACCCCTTCTATTTTGACGAAGCTCGTAGCGCCCG
ACGCGATATAGGGTCGGCGGTATTCGATCGCCTAGTCACCGAGTTCCATGGTGCGATAGG
TCGAACTGGTTCGTGTCCCTGGTCAGGAAACTATTCCTCACAGATGATGCTTATTCCTGT
TTGTTAGTCTACCCACATGTCCATCTTCCTGCTAATCCATGCCTTTCGGTTAACACTGAC
ATAGTAACTAATTCGGCTGCTCCTTCCGGCATATATTTGGCGCCTTCGGCGTGGCGGCCC
GGCGCAAGTCCCCCAATGGGGCTGCCCACACTCAGCGGCCCTTCATACGTATGTTTGGAG
CACGTTTTAGGTGTAACACGCCCTACCGCGGCGAGGATAACTAACTAATCCGCATACATC
TAACCATTCTGCATGGCAGCCTCGTAGCAGCATCCGTTCTACCCGTAACTCGACAAGTCT
TTCAAACTAGCAGCGCCCCACCGAAGAGATACGGAGTACCGCAGCCGTAGTAAGACTCAG
TTTAACAGGAGAATCTCTGATGGGAATCCCATGAAGGATACAAGAACAAATCGCCTGAGT
TGCGATAGGGTGACCGCATTAAGGCTGCTCAGTCATGGCCTCGTATTTCCTTGTGCCATA
ATGTTCCGCTGCGGTACGGTGGTTTGGTGGTTAAAGAAGGACTCCAAAGA
>Rosalind_8396
GGCGTTCACAAGTTAAGCTGGCTGAAGACTTGTAAAACTCCGGAGCAACACAAGTAACCA
TTCGTTGTCGGTCCGGTGCAGGCCAGGGGGTTAGAGAGATCTACATACTAGACCCTTTCA
CCTCTTAGGATTAATGTCCAGCCACCGAAACTGCGCGACATCGTGACACTTGCGCCCATA
TGCAGTAATGTAATAACCAGCTCTAATATTTCTATCCGACGTCAGCACTACGGTTAAGTC
AGGTCCTTAGTGGAATGTAGAGAATCGAGCTGTGAGTAGTAGGGGGGGCTAGCACCCCAT
TTAAGCAACGCTACTCACTTAGATCGGGCATAAGAACCTAAAGTGTAAGTAGAGATGATG
TAGCCTCCGGTAAACCAGAATTTCCCCGGCCTCTATACCGGGCCTTAACAGTCGTGAGGC
GCATCCCTCAGTTCAGTCCGGGACAAACCATAGGTAATAATAAATGGTATTGTTTCAAGC
TCATCCCAATTTTGCAATCGGGAACACCACGCTTTATTAACGTCGCATTGCCGTCGTATA
AGTCTCGGAGGAAAGGCCACTGTGATAGTTAATGCATAGCTCCAATCTGACGAGCGCGAC
CATGTAAACCATTCCTCCGGCACGTTGTAAACGATTGGCTGCCTTATCACTCCACCCCTG
CATCGTGGATAATGGACTTGAGCGTAAGTCAATACTCGGTGTTGGCCCTTTTCTCCGTGC
ATATTATGCGTTTGAAATCGAGCGACGTTCGGTAATTTCCTTGGTCCGGTTCTTGTCAAT
CGACAACATAGGCGTGCTTACGCTTCTTCACGACGAACCATAGATAGCGCCCCTAAGCGC
AACGTGTGAGAGCATGATGACGAAACTGGGTGTGCCACTAGGTGTTTTCTACTGTTACGC
CAACCTTCCTATTCCACAGTACCTGCGGCTGAACCTTAGTACCTTCTCTA
""".strip()
parsed_data = parse_input(data)
make_profile(parsed_data)
if __name__ == '__main__':
main()
| 47.364407
| 60
| 0.926552
| 379
| 11,178
| 27.200528
| 0.580475
| 0.005238
| 0.00582
| 0.007566
| 0.017169
| 0.013774
| 0.009021
| 0.007275
| 0
| 0
| 0
| 0.004918
| 0.054124
| 11,178
| 235
| 61
| 47.565957
| 0.970113
| 0.002326
| 0
| 0.009259
| 0
| 0
| 0.882232
| 0.852094
| 0
| 1
| 0
| 0
| 0
| 1
| 0.018519
| false
| 0
| 0.00463
| 0
| 0.027778
| 0.027778
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
3b78751e748e0c28eb4574bc2ceb68edf1932467
| 209
|
py
|
Python
|
doc/_themes/__init__.py
|
embedded-devops/Flask-MQTT
|
bc3a625f14fb4ec8290bf151072c147497f3a0a0
|
[
"MIT"
] | 64
|
2016-12-10T16:55:32.000Z
|
2021-01-25T02:15:01.000Z
|
doc/_themes/__init__.py
|
embedded-devops/Flask-MQTT
|
bc3a625f14fb4ec8290bf151072c147497f3a0a0
|
[
"MIT"
] | 2
|
2017-09-22T09:36:16.000Z
|
2021-03-22T17:15:52.000Z
|
doc/_themes/__init__.py
|
embedded-devops/Flask-MQTT
|
bc3a625f14fb4ec8290bf151072c147497f3a0a0
|
[
"MIT"
] | 10
|
2016-12-11T03:19:36.000Z
|
2021-05-02T14:53:16.000Z
|
import os
__version__ = '1.0.1'
def get_path():
return os.path.abspath(os.path.dirname(__file__))
def setup(app):
return {
'version': __version__,
'parallel_read_safe': True
}
| 13.933333
| 53
| 0.62201
| 27
| 209
| 4.259259
| 0.666667
| 0.104348
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018987
| 0.244019
| 209
| 14
| 54
| 14.928571
| 0.708861
| 0
| 0
| 0
| 0
| 0
| 0.143541
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.111111
| 0.222222
| 0.555556
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
3b99148cfdeb90a765f839391c5a34781f128d17
| 185
|
py
|
Python
|
app/schemas.py
|
ev-horrosh/fastapi-project
|
4e38f5eb7573b8d70add47dd52fc973e9fed07b9
|
[
"MIT"
] | null | null | null |
app/schemas.py
|
ev-horrosh/fastapi-project
|
4e38f5eb7573b8d70add47dd52fc973e9fed07b9
|
[
"MIT"
] | null | null | null |
app/schemas.py
|
ev-horrosh/fastapi-project
|
4e38f5eb7573b8d70add47dd52fc973e9fed07b9
|
[
"MIT"
] | null | null | null |
from re import S
from pydantic import BaseModel
from typing import Optional
class User(BaseModel):
first_name:str
last_name:str
age:int
sex:Optional[str]=None
| 16.818182
| 30
| 0.708108
| 27
| 185
| 4.777778
| 0.666667
| 0.108527
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.237838
| 185
| 11
| 31
| 16.818182
| 0.914894
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.375
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
8e5772016ce9d093b9d855bc35d35474f74a9187
| 101
|
py
|
Python
|
abstract-codegen/src/atmfjstc/lib/abstract_codegen/ast/__init__.py
|
goc9000/python-library
|
0a4a09278df6e84061baedda8997071e2201103f
|
[
"MIT"
] | null | null | null |
abstract-codegen/src/atmfjstc/lib/abstract_codegen/ast/__init__.py
|
goc9000/python-library
|
0a4a09278df6e84061baedda8997071e2201103f
|
[
"MIT"
] | null | null | null |
abstract-codegen/src/atmfjstc/lib/abstract_codegen/ast/__init__.py
|
goc9000/python-library
|
0a4a09278df6e84061baedda8997071e2201103f
|
[
"MIT"
] | null | null | null |
"""
This package groups all the built-in node classes offered by the `abstract_codegen` package.
"""
| 25.25
| 92
| 0.752475
| 15
| 101
| 5
| 0.866667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148515
| 101
| 3
| 93
| 33.666667
| 0.872093
| 0.910891
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8e6099119f26b536e38e505e34fc237bd2e59cfb
| 152
|
py
|
Python
|
chapter-14/shakespearebot-waypoint/bot/models.py
|
GeSup/Hands-on-JavaScript-for-Python-Developers
|
a4d779e3e46797754252e97ec0e517c9e42682c6
|
[
"MIT"
] | 41
|
2019-04-30T14:55:48.000Z
|
2022-03-27T21:59:56.000Z
|
chapter-14/shakespearebot-waypoint/bot/models.py
|
GeSup/Hands-on-JavaScript-for-Python-Developers
|
a4d779e3e46797754252e97ec0e517c9e42682c6
|
[
"MIT"
] | 10
|
2020-05-27T22:54:38.000Z
|
2020-10-13T21:52:24.000Z
|
chapter-14/shakespearebot-waypoint/bot/models.py
|
GeSup/Hands-on-JavaScript-for-Python-Developers
|
a4d779e3e46797754252e97ec0e517c9e42682c6
|
[
"MIT"
] | 24
|
2019-05-07T21:02:11.000Z
|
2021-10-31T23:44:14.000Z
|
from django.db import models
class Text(models.Model):
PlayerLine = models.CharField(max_length=1000)
def __str__(self):
return self.PlayerLine
| 25.333333
| 48
| 0.769737
| 21
| 152
| 5.333333
| 0.809524
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.030534
| 0.138158
| 152
| 6
| 49
| 25.333333
| 0.824427
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0.2
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
8e67c9cb778e91d2cab352898b79d1683798c293
| 144
|
py
|
Python
|
Externals/micromegas_4.3.5/Packages/smodels-v1.1.0patch1/smodels/tools/__init__.py
|
yuanfangtardis/vscode_project
|
2d78a85413cc85789cc4fee8ec991eb2a0563ef8
|
[
"Apache-2.0"
] | null | null | null |
Externals/micromegas_4.3.5/Packages/smodels-v1.1.0patch1/smodels/tools/__init__.py
|
yuanfangtardis/vscode_project
|
2d78a85413cc85789cc4fee8ec991eb2a0563ef8
|
[
"Apache-2.0"
] | null | null | null |
Externals/micromegas_4.3.5/Packages/smodels-v1.1.0patch1/smodels/tools/__init__.py
|
yuanfangtardis/vscode_project
|
2d78a85413cc85789cc4fee8ec991eb2a0563ef8
|
[
"Apache-2.0"
] | 1
|
2022-01-15T12:22:30.000Z
|
2022-01-15T12:22:30.000Z
|
"""
.. module:: tools.__init__
:synopsis: This package contains tools for handling results obtained with the
main SModelS code.
"""
| 20.571429
| 81
| 0.6875
| 17
| 144
| 5.588235
| 0.941176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.215278
| 144
| 6
| 82
| 24
| 0.840708
| 0.930556
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8e7e2fd82b90a62a490603dc24f1988ca7e27fb8
| 31
|
py
|
Python
|
networth/__init__.py
|
Hedde/django-networth
|
496311e31f3b49202bda9c0b2997ee4508cc9477
|
[
"MIT"
] | null | null | null |
networth/__init__.py
|
Hedde/django-networth
|
496311e31f3b49202bda9c0b2997ee4508cc9477
|
[
"MIT"
] | 3
|
2020-02-12T00:02:35.000Z
|
2021-06-10T19:38:41.000Z
|
networth/__init__.py
|
Hedde/django-networth
|
496311e31f3b49202bda9c0b2997ee4508cc9477
|
[
"MIT"
] | null | null | null |
__author__ = 'heddevanderheide'
| 31
| 31
| 0.83871
| 2
| 31
| 11
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.064516
| 31
| 1
| 31
| 31
| 0.758621
| 0
| 0
| 0
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8e92b7bf4f6465a749d963319c6412e27abe7160
| 111
|
py
|
Python
|
src/ToolChainSCDG/procedures/linux/custom_package/gen_simproc4v.py
|
AnonymousSEMA/SEMA-ToolChain
|
05d6a7e43e10d4b1f6c5dfb70fbabeab3d4daf82
|
[
"BSD-2-Clause"
] | null | null | null |
src/ToolChainSCDG/procedures/linux/custom_package/gen_simproc4v.py
|
AnonymousSEMA/SEMA-ToolChain
|
05d6a7e43e10d4b1f6c5dfb70fbabeab3d4daf82
|
[
"BSD-2-Clause"
] | null | null | null |
src/ToolChainSCDG/procedures/linux/custom_package/gen_simproc4v.py
|
AnonymousSEMA/SEMA-ToolChain
|
05d6a7e43e10d4b1f6c5dfb70fbabeab3d4daf82
|
[
"BSD-2-Clause"
] | null | null | null |
import angr
class gen_simproc4v(angr.SimProcedure):
def run(self, arg1, ar2, arg3, arg4):
return
| 15.857143
| 41
| 0.675676
| 15
| 111
| 4.933333
| 0.933333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.05814
| 0.225225
| 111
| 6
| 42
| 18.5
| 0.802326
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
8eb1436051dd71a0f14169c0a3e3c5db3f38a647
| 95
|
py
|
Python
|
Bio-StrongHold/src/Partial_Permutations.py
|
crf1111/Bio-Informatics-Learning
|
2ccc02d7a23584c12aee44c5620160cdcaf70bd4
|
[
"MIT"
] | 1
|
2018-10-10T19:03:52.000Z
|
2018-10-10T19:03:52.000Z
|
Bio-StrongHold/src/Partial_Permutations.py
|
crf1111/Bio-Informatics-Learning
|
2ccc02d7a23584c12aee44c5620160cdcaf70bd4
|
[
"MIT"
] | null | null | null |
Bio-StrongHold/src/Partial_Permutations.py
|
crf1111/Bio-Informatics-Learning
|
2ccc02d7a23584c12aee44c5620160cdcaf70bd4
|
[
"MIT"
] | null | null | null |
from math import factorial
n = 86
k = 8
res = factorial(n)/factorial(n-k)%1e6
print int(res)
| 11.875
| 37
| 0.694737
| 18
| 95
| 3.666667
| 0.666667
| 0.454545
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.064103
| 0.178947
| 95
| 7
| 38
| 13.571429
| 0.782051
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.2
| null | null | 0.2
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d930bd7e55bef5a0a588be2aeede17fbaa44f754
| 745
|
py
|
Python
|
exastolog/test/test_toy3.py
|
sysbio-curie/pyExaStoLog
|
a8474823c1b5ef1642339b022675e0d60e340073
|
[
"BSD-3-Clause"
] | 2
|
2020-11-17T15:00:01.000Z
|
2021-07-02T07:14:15.000Z
|
exastolog/test/test_toy3.py
|
sysbio-curie/pyExaStoLog
|
a8474823c1b5ef1642339b022675e0d60e340073
|
[
"BSD-3-Clause"
] | null | null | null |
exastolog/test/test_toy3.py
|
sysbio-curie/pyExaStoLog
|
a8474823c1b5ef1642339b022675e0d60e340073
|
[
"BSD-3-Clause"
] | 1
|
2020-07-07T13:36:44.000Z
|
2020-07-07T13:36:44.000Z
|
from unittest import TestCase
from ..Model import Model
from ..Simulation import Simulation
from os.path import dirname, join
import numpy as np
import math
class TestToy3(TestCase):
def test_toy3(self):
model = Model(join(dirname(__file__), "../../notebooks/model_files/toy3.bnet"))
simulation = Simulation(model, ['A','B'], [0, 0])
result = simulation.get_last_states_probtraj()
self.assertAlmostEqual(result.iloc[0, :].sum(), 1.0)
self.assertAlmostEqual(result.loc[0, '<nil>'], 0.25)
self.assertAlmostEqual(result.loc[0, 'A'], 0.25)
self.assertAlmostEqual(result.loc[0, 'A'], 0.25)
self.assertAlmostEqual(result.loc[0, 'A -- B'], 0.25)
| 33.863636
| 87
| 0.632215
| 95
| 745
| 4.863158
| 0.410526
| 0.227273
| 0.292208
| 0.25974
| 0.294372
| 0.227273
| 0.227273
| 0.227273
| 0.227273
| 0.227273
| 0
| 0.041237
| 0.218792
| 745
| 22
| 88
| 33.863636
| 0.752577
| 0
| 0
| 0.125
| 0
| 0
| 0.069705
| 0.049598
| 0
| 0
| 0
| 0
| 0.3125
| 1
| 0.0625
| false
| 0
| 0.375
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
d955bd3b6a1f98f5c7cc4debf622f8e2f6c5f9cd
| 104
|
py
|
Python
|
goutdotcom/treatment/apps.py
|
Spiewart/goutdotcom
|
0916155732a72fcb8c8a2fb0f4dd81efef618af8
|
[
"MIT"
] | null | null | null |
goutdotcom/treatment/apps.py
|
Spiewart/goutdotcom
|
0916155732a72fcb8c8a2fb0f4dd81efef618af8
|
[
"MIT"
] | null | null | null |
goutdotcom/treatment/apps.py
|
Spiewart/goutdotcom
|
0916155732a72fcb8c8a2fb0f4dd81efef618af8
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class TreatmentConfig(AppConfig):
name = 'goutdotcom.treatment'
| 17.333333
| 33
| 0.778846
| 11
| 104
| 7.363636
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.144231
| 104
| 5
| 34
| 20.8
| 0.910112
| 0
| 0
| 0
| 0
| 0
| 0.192308
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
d9724df91f0d1e509249a814becdf43525ed1c7c
| 182
|
py
|
Python
|
Contest/ABC051/c/main.py
|
mpses/AtCoder
|
9c101fcc0a1394754fcf2385af54b05c30a5ae2a
|
[
"CC0-1.0"
] | null | null | null |
Contest/ABC051/c/main.py
|
mpses/AtCoder
|
9c101fcc0a1394754fcf2385af54b05c30a5ae2a
|
[
"CC0-1.0"
] | null | null | null |
Contest/ABC051/c/main.py
|
mpses/AtCoder
|
9c101fcc0a1394754fcf2385af54b05c30a5ae2a
|
[
"CC0-1.0"
] | null | null | null |
#!/usr/bin/env python3
sx, sy, tx, ty = map(int, input().split())
x, y = tx - sx, ty - sy
print("R"*x + "U"*-~y + "L"*-~x + "D"*-~y + "R" + "U"*y + "R"*-~x + "D"*-~y + "L"*-~x + "U")
| 45.5
| 92
| 0.401099
| 37
| 182
| 1.972973
| 0.513514
| 0.054795
| 0.082192
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006849
| 0.197802
| 182
| 4
| 92
| 45.5
| 0.493151
| 0.115385
| 0
| 0
| 0
| 0
| 0.062112
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.333333
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d9913fd01e1b721da362c3a1ba14143f873c7a20
| 5,450
|
py
|
Python
|
knoema/source_data/get_indic_id.py
|
zmmyc/ksh
|
5869908714ea87a297a8fc19ecafd7d3cf15e889
|
[
"MIT"
] | 1
|
2022-03-30T06:50:42.000Z
|
2022-03-30T06:50:42.000Z
|
knoema/source_data/get_indic_id.py
|
zmmyc/ksh
|
5869908714ea87a297a8fc19ecafd7d3cf15e889
|
[
"MIT"
] | null | null | null |
knoema/source_data/get_indic_id.py
|
zmmyc/ksh
|
5869908714ea87a297a8fc19ecafd7d3cf15e889
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
import requests, json
from bs4 import BeautifulSoup
from mspider.spider import MSpider
class Get_indic_idSpider(MSpider):
def __init__(self):
self.name = "get_count_id"
self.indics = ['GDP', 'GDP-based-on-PPP', 'Real-GDP-growth', 'GDP-per-capita', 'GDP-per-capita-based-on-PPP', 'Inflation-rate', 'Unemployment-rate', 'Current-account-balance', 'Current-account-balance-as-a-share-of-GDP', 'Government-gross-debt-as-a-share-of-GDP', 'Poverty-rate', 'International-reserves', 'Primary-energy-production', 'Primary-energy-consumption', 'Energy-intensity', 'Energy-imports', 'Alternative-and-nuclear-energy-use', 'Fossil-fuel-energy-consumption', 'Diesel-price', 'Gasoline-price', 'Air-transport-freight', 'Number-of-air-passengers-carried', 'Volume-of-goods-transported-by-railways', 'Number-of-passengers-carried-by-railways', 'Length-of-rail-lines', 'Road-density', 'Share-of-the-Internet-users', 'Share-of-households-with-Internet', 'Number-of-mobile-cellular-subscriptions', 'Military-expenditure', 'Military-expenditure-as-a-share-of-GDP', 'Arms-exports', 'Arms-imports', 'Exports', 'Goods-exports', 'Service-exports', 'Merchandise-exports', 'Food-exports', 'Fuel-exports', 'High-technology-exports', 'High-technology-exports-as-a-share-of-exports', 'Imports', 'Goods-imports', 'Service-imports', 'Merchandise-imports', 'Food-imports', 'Fuel-imports', 'Number-of-arrivals', 'Number-of-departures', 'Tourism-expenditures', 'Tourism-expenditures-as-a-share-of-imports', 'Expenditures-for-passenger-transport-items', 'Expenditures-for-travel-items', 'Tourism-receipts', 'Tourism-receipts-as-a-share-of-exports', 'Receipts-for-passenger-transport-items', 'Receipts-for-travel-items', 'CO2-emissions', 'CO2-emissions-per-capita', 'CO2-emissions-intensity', 'Quantity-of-municipal-waste-collected', 'Human-development-index', 'Ease-of-doing-business-index', 'Global-competitiveness-index', 'Corruption-perceptions-index', 'Index-of-economic-freedom', 'Press-freedom-index', 'Political-rights-index', 'Civil-liberties-index', 'Property-rights-index', 'Prosperity-index', 'Happiness', 'Population', 'Population-growth-rate', 'Population-density', 'Urban-population', 'Birth-rate', 'Death-rate', 'Fertility-rate', 'Population-aged-0-14-years', 'Population-aged-15-64-years', 'Population-aged-65-years-and-above', 'Female-population', 'Employment-to-population-ratio', 'Land-area', 'Agricultural-land-area', 'Agricultural-land-as-a-share-of-land-area', 'Forest-area-as-a-share-of-land-area', 'Agriculture-value-added-per-worker', 'Food-production-index', 'Livestock-production-index', 'Crop-production-index', 'Cereal-production', 'Cereal-yield', 'Land-under-cereal-production', 'Number-of-tractors', 'Fertilizer-consumption', 'Neonatal-mortality-rate', 'Infant-mortality-rate', 'Child-mortality-rate', 'Maternal-mortality-ratio', 'Life-expectancy', 'Health-expenditure-as-a-share-of-GDP', 'Health-expenditure-per-capita', 'HIV-prevalence', 'Incidence-of-tuberculosis', 'Female-obesity-prevalence', 'Male-obesity-prevalence', 'Education-expenditure', 'Primary-enrollment', 'Duration-of-primary-education', 'Duration-of-secondary-education', 'Pupil-teacher-ratio-in-primary-education', 'Pupil-teacher-ratio-in-secondary-education', 'Adult-literacy-rate', 'Youth-literacy-rate', 'Homicide-rate', 'Number-of-homicides', 'Number-of-homicides-by-firearm', 'Share-of-homicides-by-firearm', 'Homicides-by-firearm-rate', 'Assault-rate', 'Kidnapping-rate', 'Robbery-rate', 'Rape-rate', 'Burglary-rate', 'Private-car-theft-rate', 'Motor-vehicle-theft-rate', 'Burglary-and-housebreaking-rate', 'Poverty-rate-at-dollar19-a-day', 'Poverty-rate-at-dollar32-a-day', 'Poverty-rate-at-national-poverty-line', 'Rural-poverty-rate', 'Urban-poverty-rate', 'GINI-index', 'Income-share-held-by-lowest-10percent', 'Income-share-held-by-highest-10percent', 'Prevalence-of-undernourishment', 'Number-of-undernourished-people', 'Food-deficit', 'Dietary-energy-supply-adequacy', 'Precipitation', 'Precipitation-volume', 'Rainfall-index', 'Volume-of-groundwater-produced', 'Volume-of-surface-water-produced', 'Internal-renewable-water-resources-per-capita', 'Renewable-water-resources-per-capita', 'Dependency-ratio', 'Freshwater-withdrawals', 'Water-productivity', 'RandD-expenditure', 'Number-of-researchers-in-RandD', 'Number-of-technicians-in-RandD', 'Number-of-scientific-journal-articles', 'Number-of-patent-applications']
self.urls = ['https://knoema.com/atlas/United-States-of-America/%s' %(indic) for indic in self.indics]
self.source = list(zip(self.indics, self.urls))
self.file = open('./indicators.json', 'w', encoding='utf-8')
super(Get_indic_idSpider, self).__init__(self.basic_func, self.source)
def basic_func(self, index, src_item):
indic, url = src_item
html = self.sess.get(url).text
soup = BeautifulSoup(html, 'lxml')
payload_data = json.loads(soup.find('input', {'name': 'datadescriptor'}).attrs['value'])
item = {}
item['id'] = str(payload_data['Stub'][0]['Members'][0])
item['name'] = indic
# print(item)
self.save_item(item)
def save_item(self, item):
content = json.dumps(item, ensure_ascii=False) + '\n'
self.file.write(content)
self.file.flush()
if __name__=="__main__":
spider = Get_indic_idSpider()
# spider.test()
spider.crawl()
spider.file.close()
| 147.297297
| 4,232
| 0.728807
| 697
| 5,450
| 5.651363
| 0.420373
| 0.026403
| 0.018279
| 0.022848
| 0.075654
| 0.021325
| 0
| 0
| 0
| 0
| 0
| 0.004984
| 0.079633
| 5,450
| 37
| 4,233
| 147.297297
| 0.780303
| 0.008624
| 0
| 0
| 0
| 0
| 0.691111
| 0.476111
| 0
| 0
| 0
| 0
| 0
| 1
| 0.107143
| false
| 0.035714
| 0.142857
| 0
| 0.285714
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
794e90ebf4066373e9e80503d5223bdfcb0a3273
| 580
|
py
|
Python
|
lab8/point.py
|
kuzkov/computational-geometry
|
4411231a8097e618e03b3ef0ad5836e49e837216
|
[
"MIT"
] | 1
|
2021-04-04T07:34:14.000Z
|
2021-04-04T07:34:14.000Z
|
lab8/point.py
|
kuzkov/computational-geometry
|
4411231a8097e618e03b3ef0ad5836e49e837216
|
[
"MIT"
] | null | null | null |
lab8/point.py
|
kuzkov/computational-geometry
|
4411231a8097e618e03b3ef0ad5836e49e837216
|
[
"MIT"
] | 1
|
2021-02-18T09:50:10.000Z
|
2021-02-18T09:50:10.000Z
|
import math
import numpy as np
from vector import Vector
import segment as segment_lib
class Point(Vector):
def direction(self, segment):
det = np.linalg.det([
segment.as_vector().as_array(),
segment_lib.Segment(segment.p1, self).as_vector().as_array()
])
return 1 if det > 0 else 0 if math.isclose(det, 0) else -1 # 1 left, -1 right, 0 on
def inside_segment(self, segment):
pass
def tolist(self):
return (self.x, self.y)
def within_polygon(self, polygon):
return polygon.contains(self)
| 25.217391
| 91
| 0.631034
| 84
| 580
| 4.261905
| 0.416667
| 0.067039
| 0.055866
| 0.083799
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021077
| 0.263793
| 580
| 22
| 92
| 26.363636
| 0.81733
| 0.037931
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.235294
| false
| 0.058824
| 0.235294
| 0.117647
| 0.705882
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
7975367638974979532191242ae89eeddc64e809
| 4,418
|
py
|
Python
|
jacket/compute/opts.py
|
bopopescu/jacket
|
d7ad3147fcb43131098c2a5210847634ff5fb325
|
[
"Apache-2.0"
] | null | null | null |
jacket/compute/opts.py
|
bopopescu/jacket
|
d7ad3147fcb43131098c2a5210847634ff5fb325
|
[
"Apache-2.0"
] | null | null | null |
jacket/compute/opts.py
|
bopopescu/jacket
|
d7ad3147fcb43131098c2a5210847634ff5fb325
|
[
"Apache-2.0"
] | 2
|
2016-08-10T02:21:49.000Z
|
2020-07-24T01:57:21.000Z
|
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy
# of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import itertools
import jacket.cmd.compute.novnc
import jacket.cmd.compute.serialproxy
import jacket.cmd.compute.spicehtml5proxy
import jacket.compute.baserpc
import jacket.compute.cloudpipe.pipelib
import jacket.compute.conductor.rpcapi
import jacket.compute.conductor.tasks.live_migrate
import jacket.compute.conf
import jacket.compute.console.manager
import jacket.compute.console.rpcapi
import jacket.compute.console.serial
import jacket.compute.console.xvp
import jacket.compute.consoleauth
import jacket.compute.consoleauth.manager
import jacket.compute.consoleauth.rpcapi
import jacket.compute.crypto
import jacket.compute.exception
import jacket.compute.image.download.file
import jacket.compute.image.glance
import jacket.compute.ipv6.api
import jacket.compute.keymgr
import jacket.compute.keymgr.barbican
import jacket.compute.keymgr.conf_key_mgr
import jacket.compute.netconf
import jacket.compute.notifications
import jacket.compute.paths
import jacket.compute.quota
import jacket.compute.rdp
import jacket.compute.servicegroup.api
import jacket.compute.spice
import jacket.compute.utils
import jacket.compute.volume
import jacket.compute.volume.cinder
import jacket.db.base
import jacket.db.compute.api
import jacket.db.compute.sqlalchemy.api
import jacket.objects.compute.network
def list_opts():
return [
('DEFAULT',
itertools.chain(
[jacket.compute.conductor.tasks.live_migrate.migrate_opt],
[jacket.compute.consoleauth.consoleauth_topic_opt],
[jacket.db.base.db_driver_opt],
[jacket.compute.ipv6.api.ipv6_backend_opt],
[jacket.compute.servicegroup.api.servicegroup_driver_opt],
jacket.compute.cloudpipe.pipelib.cloudpipe_opts,
jacket.cmd.compute.novnc.opts,
jacket.compute.console.manager.console_manager_opts,
jacket.compute.console.rpcapi.rpcapi_opts,
jacket.compute.console.xvp.xvp_opts,
jacket.compute.consoleauth.manager.consoleauth_opts,
jacket.compute.crypto.crypto_opts,
jacket.db.compute.api.db_opts,
jacket.db.compute.sqlalchemy.api.db_opts,
jacket.compute.exception.exc_log_opts,
jacket.compute.netconf.netconf_opts,
jacket.compute.notifications.notify_opts,
jacket.objects.compute.network.network_opts,
jacket.compute.paths.path_opts,
jacket.compute.quota.quota_opts,
# jacket.compute.service.service_opts,
jacket.compute.utils.monkey_patch_opts,
jacket.compute.utils.utils_opts,
jacket.compute.volume._volume_opts,
)),
('barbican', jacket.compute.keymgr.barbican.barbican_opts),
('cinder', jacket.compute.volume.cinder.cinder_opts),
('api_database', jacket.db.compute.sqlalchemy.api.api_db_opts),
('database', jacket.db.compute.sqlalchemy.api.oslo_db_options.database_opts),
('glance', jacket.compute.image.glance.glance_opts),
('image_file_url', [jacket.compute.image.download.file.opt_group]),
('compute_keymgr',
itertools.chain(
jacket.compute.keymgr.conf_key_mgr.key_mgr_opts,
jacket.compute.keymgr.keymgr_opts,
)),
('rdp', jacket.compute.rdp.rdp_opts),
('spice',
itertools.chain(
jacket.cmd.compute.spicehtml5proxy.opts,
jacket.compute.spice.spice_opts,
)),
('upgrade_levels',
itertools.chain(
[jacket.compute.baserpc.rpcapi_cap_opt],
[jacket.compute.conductor.rpcapi.rpcapi_cap_opt],
[jacket.compute.console.rpcapi.rpcapi_cap_opt],
[jacket.compute.consoleauth.rpcapi.rpcapi_cap_opt],
)),
('workarounds', jacket.compute.utils.workarounds_opts),
]
| 40.53211
| 85
| 0.716614
| 538
| 4,418
| 5.762082
| 0.247212
| 0.26
| 0.183871
| 0.033548
| 0.144516
| 0.086452
| 0
| 0
| 0
| 0
| 0
| 0.002506
| 0.187189
| 4,418
| 108
| 86
| 40.907407
| 0.860763
| 0.125396
| 0
| 0.086957
| 0
| 0
| 0.028045
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.01087
| true
| 0
| 0.413043
| 0.01087
| 0.434783
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
79ce0327616efa9691f6ae8fe41ab9246d6bf9e6
| 143
|
py
|
Python
|
tests/redirects_tests/urls.py
|
Yoann-Vie/esgi-hearthstone
|
115d03426c7e8e80d89883b78ac72114c29bed12
|
[
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null |
tests/redirects_tests/urls.py
|
Yoann-Vie/esgi-hearthstone
|
115d03426c7e8e80d89883b78ac72114c29bed12
|
[
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null |
tests/redirects_tests/urls.py
|
Yoann-Vie/esgi-hearthstone
|
115d03426c7e8e80d89883b78ac72114c29bed12
|
[
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null |
from django.conf.urls import url
from django.http import HttpResponse
urlpatterns = [
url(r'^$', lambda req: HttpResponse('OK')),
]
| 20.428571
| 48
| 0.678322
| 18
| 143
| 5.388889
| 0.722222
| 0.206186
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.188811
| 143
| 6
| 49
| 23.833333
| 0.836207
| 0
| 0
| 0
| 0
| 0
| 0.029197
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
8db775d1dd9bd4e0cb2fd047201ecfb22122ee56
| 247
|
py
|
Python
|
toughradius/common/__init__.py
|
capitek-wangsj/toughradius
|
ee0e6c20d32262ff7a6ace653af5a78340db62a2
|
[
"Apache-2.0"
] | null | null | null |
toughradius/common/__init__.py
|
capitek-wangsj/toughradius
|
ee0e6c20d32262ff7a6ace653af5a78340db62a2
|
[
"Apache-2.0"
] | null | null | null |
toughradius/common/__init__.py
|
capitek-wangsj/toughradius
|
ee0e6c20d32262ff7a6ace653af5a78340db62a2
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
class ObjectDict(dict):
def __getattr__(self, name):
try:
return self[name]
except KeyError:
raise AttributeError(name)
def __setattr__(self, name, value):
self[name] = value
| 24.7
| 39
| 0.587045
| 27
| 247
| 5.074074
| 0.666667
| 0.233577
| 0.189781
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005917
| 0.315789
| 247
| 10
| 40
| 24.7
| 0.804734
| 0.052632
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8ddd3e9119c32c0e18dc330a4330c6e053f331a5
| 427
|
py
|
Python
|
app/blueprints/seo_arizona/errors.py
|
Anioko/TestApp
|
95fa8d27ca8e7a074e62f92609427a378844e621
|
[
"MIT"
] | null | null | null |
app/blueprints/seo_arizona/errors.py
|
Anioko/TestApp
|
95fa8d27ca8e7a074e62f92609427a378844e621
|
[
"MIT"
] | 1
|
2021-06-02T01:53:47.000Z
|
2021-06-02T01:53:47.000Z
|
app/blueprints/seo_arizona/errors.py
|
Anioko/TestApp
|
95fa8d27ca8e7a074e62f92609427a378844e621
|
[
"MIT"
] | null | null | null |
from flask import render_template
from app.blueprints.seo_arizona.views import seo_arizona
@seo_arizona.app_errorhandler(403)
def forbidden(_):
return render_template('errors/403.html'), 403
@seo_arizona.app_errorhandler(404)
def page_not_found(_):
return render_template('errors/404.html'), 404
@seo_arizona.app_errorhandler(500)
def internal_server_error(_):
return render_template('errors/500.html'), 500
| 22.473684
| 56
| 0.789227
| 60
| 427
| 5.3
| 0.416667
| 0.157233
| 0.122642
| 0.235849
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.070681
| 0.105386
| 427
| 18
| 57
| 23.722222
| 0.76178
| 0
| 0
| 0
| 0
| 0
| 0.105386
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.272727
| false
| 0
| 0.181818
| 0.272727
| 0.727273
| 0.090909
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
8dde19fedd80853c00291936adb295b97fcd76bc
| 1,315
|
py
|
Python
|
tests.py
|
rudradatta/Flames
|
3692564ef1c3493eb2e1586be47ca997ede97cb4
|
[
"BSD-3-Clause"
] | null | null | null |
tests.py
|
rudradatta/Flames
|
3692564ef1c3493eb2e1586be47ca997ede97cb4
|
[
"BSD-3-Clause"
] | null | null | null |
tests.py
|
rudradatta/Flames
|
3692564ef1c3493eb2e1586be47ca997ede97cb4
|
[
"BSD-3-Clause"
] | null | null | null |
import flames
import unittest
class TestFlamesMethods(unittest.TestCase):
def test_flames_count(self):
self.assertEqual(flames.flames_count('abhi','abhi'),0)
self.assertEqual(flames.flames_count('abhi','a'),3)
self.assertEqual(flames.flames_count('abhi','asd'),5)
def test_flames_result(self):
self.assertEqual(flames.flames_result(1),'S')
self.assertEqual(flames.flames_result(2),'E')
self.assertEqual(flames.flames_result(3),'F')
self.assertEqual(flames.flames_result(7),'E')
self.assertEqual(flames.flames_result(10),'L')
self.assertEqual(flames.flames_result(15),'M')
self.assertEqual(flames.flames_result(21),'F')
self.assertEqual(flames.flames_result(28),'A')
self.assertEqual(flames.flames_result(30),'A')
def test_calculate(self):
self.assertEqual(flames.calculate('abhi','abhil'),'S')
self.assertEqual(flames.calculate('abhi','abhila'),'E')
self.assertEqual(flames.calculate('abhi','abhilas'),'F')
self.assertEqual(flames.calculate('abhi','abhilashdsm'),'E')
self.assertEqual(flames.calculate('Abhi',' abHil '),'S')
self.assertEqual(flames.calculate('abhi','abhi.l'),'S')
if __name__ == '__main__':
unittest.main()
| 35.540541
| 68
| 0.657034
| 157
| 1,315
| 5.343949
| 0.248408
| 0.321812
| 0.450536
| 0.386174
| 0.756853
| 0.510131
| 0.1764
| 0.1764
| 0.1764
| 0.1764
| 0
| 0.015639
| 0.173384
| 1,315
| 36
| 69
| 36.527778
| 0.75621
| 0
| 0
| 0
| 0
| 0
| 0.082953
| 0
| 0
| 0
| 0
| 0
| 0.692308
| 1
| 0.115385
| false
| 0
| 0.076923
| 0
| 0.230769
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8de28136620ecc67d3f38af5cae41d8092c4a0be
| 165
|
py
|
Python
|
src/wayscript/errors.py
|
wayscript/wayscript-python
|
55abcf4f22869fccf6dbc7853444b70339683f2a
|
[
"MIT"
] | 17
|
2019-04-17T18:48:51.000Z
|
2022-01-28T08:47:07.000Z
|
src/wayscript/errors.py
|
Plataformaalgoritmica/wayscript-python
|
a0ddaf849b879631c2bab3ab1ea0878e3df10812
|
[
"MIT"
] | 1
|
2019-11-13T18:11:00.000Z
|
2019-11-13T18:13:13.000Z
|
src/wayscript/errors.py
|
Plataformaalgoritmica/wayscript-python
|
a0ddaf849b879631c2bab3ab1ea0878e3df10812
|
[
"MIT"
] | 9
|
2020-01-09T23:06:39.000Z
|
2022-01-01T12:02:51.000Z
|
"""
WayScript Errors
"""
class MissingCredentialsError(Exception):
"""Error thrown when a workspace integration does not have requisite credentials"""
pass
| 20.625
| 87
| 0.745455
| 17
| 165
| 7.235294
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.163636
| 165
| 7
| 88
| 23.571429
| 0.891304
| 0.569697
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
8def1e2453ca4173ec7af3b63bf0b6b393ac0493
| 349
|
py
|
Python
|
polymorhism/pol_testing/abc_class.py
|
borko81/SU_OOP_2021
|
8c38682bd4a2b032ca09f85b0a579be152223a59
|
[
"MIT"
] | null | null | null |
polymorhism/pol_testing/abc_class.py
|
borko81/SU_OOP_2021
|
8c38682bd4a2b032ca09f85b0a579be152223a59
|
[
"MIT"
] | null | null | null |
polymorhism/pol_testing/abc_class.py
|
borko81/SU_OOP_2021
|
8c38682bd4a2b032ca09f85b0a579be152223a59
|
[
"MIT"
] | null | null | null |
from abc import ABC, abstractmethod
class Abstract(ABC):
PRICE = 0
@abstractmethod
def __init__(self, name, age):
self.name = name
self.age = age
@abstractmethod
def show_name_capitalize(self):
return self.name.title()
@abstractmethod
def show_price(self):
return self.__class__.PRICE
| 19.388889
| 35
| 0.644699
| 41
| 349
| 5.219512
| 0.414634
| 0.238318
| 0.196262
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003937
| 0.272206
| 349
| 18
| 36
| 19.388889
| 0.838583
| 0
| 0
| 0.230769
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.230769
| false
| 0
| 0.076923
| 0.153846
| 0.615385
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
8defe0931ec33c13ad662fc15043aa6c6f5e4581
| 3,209
|
py
|
Python
|
programa educativo de matematica.py
|
lucaslk122/Programa-de-matematica-basica-para-criancas
|
bd62ea8c1dd339290483b45b1a6f4a31a5c7e366
|
[
"MIT"
] | null | null | null |
programa educativo de matematica.py
|
lucaslk122/Programa-de-matematica-basica-para-criancas
|
bd62ea8c1dd339290483b45b1a6f4a31a5c7e366
|
[
"MIT"
] | null | null | null |
programa educativo de matematica.py
|
lucaslk122/Programa-de-matematica-basica-para-criancas
|
bd62ea8c1dd339290483b45b1a6f4a31a5c7e366
|
[
"MIT"
] | null | null | null |
3# -*- coding: utf-8 -*-
"""
Created on Thu May 28 14:31:02 2020
@author: Lucas
"""
import random
acertos = 0
erros = 0
perguntas = 0
print("Programa educativo matematico")
print("""Digite a opção desejada
[1] para Soma
[2] para subtração
[3] para divisão
[4] para multiplicação""")
opção = int(input("Digite sua opção: "))
perguntas2 = int(input("Quantas perguntas quer fazer? "))
if opção ==1:
while perguntas < perguntas2:
aleatórios = random.randint(1,100)
aleatório2 = random.randint(1,100)
soma = int(input(f"Quanto vale {aleatórios} + {aleatório2} ? = "))
if soma == (aleatórios + aleatório2):
acertos +=1
print("Acertou")
else:
print("Errou,a resposta é",(aleatórios + aleatório2))
erros += 1
perguntas += 1
print(f"Voce acertou {acertos} e errou {erros} questões")
if acertos > acertos*0.6:
print("Parabéns, voce está indo muito bem, continue assim! XD")
else:
print("Precisa estudar mais,heim >.<")
elif opção ==2:
while perguntas < perguntas2:
aleatórios = random.randint(1,100)
aleatório2 = random.randint(1,100)
subtração = int(input(f"Quanto vale {aleatórios} - {aleatório2} ? = "))
if subtração == (aleatórios - aleatório2):
acertos +=1
print("Acertou")
else:
print("Errou feio errou rude,a resposta é",(aleatórios - aleatório2))
erros += 1
perguntas += 1
print(f"Voce acertou {acertos} e errou {erros} questões")
if acertos > acertos*0.6:
print("Parabéns, voce está indo muito bem, continue assim! XD")
else:
print("Precisa estudar mais,heim >.<")
elif opção ==3:
print("Use apenas duas casas decimais")
while perguntas < perguntas2:
aleatórios = random.randint(1,100)
aleatório2 = random.randint(1,100)
divisão = float(input(f"Quanto vale {aleatórios} : {aleatório2} ? = "))
if divisão == round((aleatórios / aleatório2),2):
acertos +=1
print("Acertou")
else:
print(f"Errou ,a resposta é {(aleatórios / aleatório2):.2f}")
erros += 1
perguntas += 1
print(f"Voce acertou {acertos} e errou {erros} questões")
if acertos > acertos*0.6:
print("Parabéns, voce está indo muito bem, continue assim! XD")
else:
print("Precisa estudar mais,heim >.<")
elif opção ==4:
while perguntas < perguntas2:
aleatórios = random.randint(1,100)
aleatório2 = random.randint(1,100)
multiplicação = int(input(f"Quanto vale {aleatórios} * {aleatório2} ? = "))
if multiplicação == (aleatórios * aleatório2):
acertos +=1
print("Acertou")
else:
print("Errou ,a resposta é",(aleatórios * aleatório2))
erros += 1
perguntas += 1
print(f"Voce acertou {acertos} e errou {erros} questões")
if acertos > acertos*0.6:
print("Parabéns, voce está indo muito bem, continue assim! XD")
else:
print("Precisa estudar mais,heim >.<")
else:
print("Oxe,essa opção não existe,ta loucona?")
| 35.263736
| 83
| 0.591773
| 375
| 3,209
| 5.064
| 0.242667
| 0.126382
| 0.058978
| 0.071617
| 0.758294
| 0.758294
| 0.724592
| 0.704581
| 0.63981
| 0.611374
| 0
| 0.043346
| 0.281084
| 3,209
| 91
| 84
| 35.263736
| 0.779801
| 0.006544
| 0
| 0.630952
| 0
| 0
| 0.354859
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.011905
| 0
| 0.011905
| 0.285714
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8df8715160af657554f13c94d21120b38964b96a
| 244
|
py
|
Python
|
tgbot/routers/user/__init__.py
|
djimboy/tgbot_template_djimbo
|
71ef5e1a600d4ca952d84efde238359c7af82dcd
|
[
"MIT"
] | null | null | null |
tgbot/routers/user/__init__.py
|
djimboy/tgbot_template_djimbo
|
71ef5e1a600d4ca952d84efde238359c7af82dcd
|
[
"MIT"
] | null | null | null |
tgbot/routers/user/__init__.py
|
djimboy/tgbot_template_djimbo
|
71ef5e1a600d4ca952d84efde238359c7af82dcd
|
[
"MIT"
] | null | null | null |
# - *- coding: utf- 8 - *-
from aiogram import Router
from tgbot.routers.user.user_menu import router_user_menu
# Подключение хендлеров для юзера
def setup_user_handlers(user_router: Router):
user_router.include_router(router_user_menu)
| 24.4
| 57
| 0.786885
| 35
| 244
| 5.2
| 0.542857
| 0.131868
| 0.153846
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004717
| 0.131148
| 244
| 9
| 58
| 27.111111
| 0.853774
| 0.229508
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.5
| 0
| 0.75
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
5c0da5f77a085661e96a680ab4f4aace5c39d144
| 34
|
py
|
Python
|
venv-lib/lib/python3.7/__future__.py
|
migmaciasdiaz/venvs
|
bcdbb75931cb27fc4b5b30f12fc44be85952157e
|
[
"MIT"
] | 2
|
2020-03-30T14:17:10.000Z
|
2020-10-04T12:33:00.000Z
|
venv-lib/lib/python3.7/__future__.py
|
migmaciasdiaz/venvs
|
bcdbb75931cb27fc4b5b30f12fc44be85952157e
|
[
"MIT"
] | 1
|
2020-11-24T03:31:13.000Z
|
2020-11-24T03:31:13.000Z
|
venv/lib/python3.7/__future__.py
|
wensu425/aws-eb-webapp
|
4b149c75c11fe5b33c9a080313ec336fabb45824
|
[
"MIT"
] | 1
|
2021-05-04T09:18:22.000Z
|
2021-05-04T09:18:22.000Z
|
/usr/lib64/python3.7/__future__.py
| 34
| 34
| 0.823529
| 6
| 34
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 0
| 34
| 1
| 34
| 34
| 0.588235
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5c0dcc445a82edfdc35b31cc9c086ddb8671e374
| 294
|
py
|
Python
|
pyez/get_config.py
|
rsmekala/junosautomation
|
b76b3e8ce34048e3460cb071d0aeef176ab3836f
|
[
"Apache-2.0"
] | 117
|
2016-08-22T15:52:28.000Z
|
2022-01-08T00:53:28.000Z
|
pyez/get_config.py
|
rsmekala/junosautomation
|
b76b3e8ce34048e3460cb071d0aeef176ab3836f
|
[
"Apache-2.0"
] | 12
|
2017-10-28T09:44:44.000Z
|
2018-11-21T15:12:42.000Z
|
pyez/get_config.py
|
rsmekala/junosautomation
|
b76b3e8ce34048e3460cb071d0aeef176ab3836f
|
[
"Apache-2.0"
] | 78
|
2016-08-19T05:35:28.000Z
|
2022-03-13T07:16:27.000Z
|
from jnpr.junos import Device
from lxml import etree
dev = Device(host='xxxx', user='demo', password='demo123', gather_facts=False)
dev.open()
cnf = dev.rpc.get_config()
#cnf = dev.rpc.get_config(filter_xml=etree.XML('<configuration><interfaces/></configuration>'))
print etree.tostring(cnf)
| 29.4
| 95
| 0.751701
| 43
| 294
| 5.046512
| 0.651163
| 0.0553
| 0.082949
| 0.110599
| 0.165899
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011152
| 0.085034
| 294
| 9
| 96
| 32.666667
| 0.795539
| 0.319728
| 0
| 0
| 0
| 0
| 0.075377
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.166667
| 0.333333
| null | null | 0.166667
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 0
| 0
| 0
|
0
| 4
|
5c19e95ecbd605cd5bbe2f492605c45f95815362
| 53
|
py
|
Python
|
pindividual.py
|
IsSveshuD/lab_3
|
9e4f4a649d30b9a4b11997fbce426f44fa9fcfd1
|
[
"MIT"
] | null | null | null |
pindividual.py
|
IsSveshuD/lab_3
|
9e4f4a649d30b9a4b11997fbce426f44fa9fcfd1
|
[
"MIT"
] | null | null | null |
pindividual.py
|
IsSveshuD/lab_3
|
9e4f4a649d30b9a4b11997fbce426f44fa9fcfd1
|
[
"MIT"
] | null | null | null |
a, b = map(int, input().split())
print((a%b)*(b%a)+1)
| 26.5
| 32
| 0.528302
| 12
| 53
| 2.333333
| 0.666667
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020833
| 0.09434
| 53
| 2
| 33
| 26.5
| 0.5625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
308e63c76843dc2c83c6e852f8d1de8f5c88dc24
| 236
|
py
|
Python
|
thirdweb/modules/__init__.py
|
princetonwong/python-sdk
|
f35181d97620e29d055498fca75f3702f3bb2449
|
[
"Apache-2.0"
] | 1
|
2022-02-18T16:59:12.000Z
|
2022-02-18T16:59:12.000Z
|
thirdweb/modules/__init__.py
|
princetonwong/python-sdk
|
f35181d97620e29d055498fca75f3702f3bb2449
|
[
"Apache-2.0"
] | null | null | null |
thirdweb/modules/__init__.py
|
princetonwong/python-sdk
|
f35181d97620e29d055498fca75f3702f3bb2449
|
[
"Apache-2.0"
] | null | null | null |
"""All Modules"""
from .nft import NftModule as NftModuleV2
from .nft_v1 import *
from .nft_types import *
from .currency import *
from .market import *
from .pack import *
from .collection import CollectionModule
from .bundle import *
| 23.6
| 41
| 0.762712
| 32
| 236
| 5.5625
| 0.5
| 0.280899
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.01
| 0.152542
| 236
| 9
| 42
| 26.222222
| 0.88
| 0.04661
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
30a588158c50b26b948593296dc5a892bedb5ede
| 101
|
py
|
Python
|
scripts/fastapi/escuelas.py
|
HighDeFing/thesis_v4
|
2dc9288af75a8b51fe54ed66f520e8aa8a0ab3c7
|
[
"Apache-2.0"
] | null | null | null |
scripts/fastapi/escuelas.py
|
HighDeFing/thesis_v4
|
2dc9288af75a8b51fe54ed66f520e8aa8a0ab3c7
|
[
"Apache-2.0"
] | null | null | null |
scripts/fastapi/escuelas.py
|
HighDeFing/thesis_v4
|
2dc9288af75a8b51fe54ed66f520e8aa8a0ab3c7
|
[
"Apache-2.0"
] | null | null | null |
import json
f = open('Thesis_v3/scripts/fastapi/web/static/data/escuelas.json')
data = json.load(f)
| 20.2
| 67
| 0.752475
| 17
| 101
| 4.411765
| 0.764706
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.01087
| 0.089109
| 101
| 4
| 68
| 25.25
| 0.804348
| 0
| 0
| 0
| 0
| 0
| 0.544554
| 0.544554
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
30b5e4e7800e589009301f09b9320ccd7cff9745
| 256
|
py
|
Python
|
services/helpers.py
|
jonti09/postgresql-manager
|
b41dab209b3b655c71c5e0f36699e63ddba1ad06
|
[
"MIT"
] | null | null | null |
services/helpers.py
|
jonti09/postgresql-manager
|
b41dab209b3b655c71c5e0f36699e63ddba1ad06
|
[
"MIT"
] | null | null | null |
services/helpers.py
|
jonti09/postgresql-manager
|
b41dab209b3b655c71c5e0f36699e63ddba1ad06
|
[
"MIT"
] | null | null | null |
from configparser import ConfigParser
import boto3
class S3Client:
@staticmethod
def get_client(config: ConfigParser):
return boto3.Session(
profile_name=config.get('S3', 'profile', fallback='default')
).client('s3')
| 21.333333
| 72
| 0.671875
| 27
| 256
| 6.296296
| 0.666667
| 0.211765
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025126
| 0.222656
| 256
| 11
| 73
| 23.272727
| 0.829146
| 0
| 0
| 0
| 0
| 0
| 0.070313
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0
| 0.25
| 0.125
| 0.625
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
30cae5fcba520d2336e9de37bde53bf9f641c26d
| 1,593
|
py
|
Python
|
src/Controllers/CEOControl.py
|
shulip/ShoppingMallSystem
|
01e5a04a8353ca319ed2dc002fc358f6e44c33dd
|
[
"MIT"
] | null | null | null |
src/Controllers/CEOControl.py
|
shulip/ShoppingMallSystem
|
01e5a04a8353ca319ed2dc002fc358f6e44c33dd
|
[
"MIT"
] | null | null | null |
src/Controllers/CEOControl.py
|
shulip/ShoppingMallSystem
|
01e5a04a8353ca319ed2dc002fc358f6e44c33dd
|
[
"MIT"
] | 1
|
2021-04-22T15:14:21.000Z
|
2021-04-22T15:14:21.000Z
|
#######################################################
#
# CEOControl.py
# Python implementation of the Class CEOControl
# Generated by Enterprise Architect
# Created on: 16-5��-2019 12:06:10
# Original author: ����
#
#######################################################
from Models.Statement import Statement
from Models.Contract import Contract
from Controllers.User import User
from Controllers.Login import Login
class CEOControl(User):
def __init__(self,ID):
super().__init__()
self.__identity = 'ceo'
self.__ID = ID
self.m_Statement = Statement()
self.__contractCon = Contract()
def set_contract_ceoaffirm_by_id(self,user_id, ceoaffirm):
self.__contractCon.set_contract_ceoaffirm_by_id(user_id, ceoaffirm)
def set_contract_ceosign_by_id(self,user_id, ceosign):
self.__contractCon.set_contract_ceosign_by_id(user_id, ceosign)
def check_all_information(self):
pass
def get_all_contracts(self):
return self.m_Statement.contracts
def get_all_receipts(self):
return self.m_Statement.receipts
def get_all_receivable(self):
return self.m_Statement.receivable
def confirm_contract(self):
pass
def login(self,name,password,identity):
super().login(name,password,identity)
def registration(self):
pass
def remind_arrearage(self):
pass
def remind_expiration_con(self):
pass
def sign_contract(self):
pass
if __name__ == '__main__':
ceo = CEOControl()
ceo.login('as',12,'ceo')
| 24.890625
| 75
| 0.640301
| 188
| 1,593
| 5.12234
| 0.340426
| 0.049844
| 0.057113
| 0.046729
| 0.19107
| 0
| 0
| 0
| 0
| 0
| 0.003766
| 0.011876
| 0.207156
| 1,593
| 64
| 76
| 24.890625
| 0.745843
| 0.096045
| 0
| 0.157895
| 1
| 0
| 0.012112
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.342105
| false
| 0.210526
| 0.105263
| 0.078947
| 0.552632
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
30f4e2ae84a31284f08d9dd4f970283a7dda20d5
| 40,407
|
py
|
Python
|
pysnmp_mibs/ROHC-MIB.py
|
jackjack821/pysnmp-mibs
|
9835ea0bb2420715caf4ee9aaa07d59bb263acd6
|
[
"BSD-2-Clause"
] | 6
|
2017-04-21T13:48:08.000Z
|
2022-01-06T19:42:52.000Z
|
pysnmp_mibs/ROHC-MIB.py
|
jackjack821/pysnmp-mibs
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9835ea0bb2420715caf4ee9aaa07d59bb263acd6
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[
"BSD-2-Clause"
] | 1
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2020-05-05T16:42:25.000Z
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2020-05-05T16:42:25.000Z
|
pysnmp_mibs/ROHC-MIB.py
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jackjack821/pysnmp-mibs
|
9835ea0bb2420715caf4ee9aaa07d59bb263acd6
|
[
"BSD-2-Clause"
] | 6
|
2020-02-08T20:28:49.000Z
|
2021-09-14T13:36:46.000Z
|
#
# PySNMP MIB module ROHC-MIB (http://pysnmp.sf.net)
# ASN.1 source http://mibs.snmplabs.com:80/asn1/ROHC-MIB
# Produced by pysmi-0.0.7 at Sun Feb 14 00:27:00 2016
# On host bldfarm platform Linux version 4.1.13-100.fc21.x86_64 by user goose
# Using Python version 3.5.0 (default, Jan 5 2016, 17:11:52)
#
( Integer, OctetString, ObjectIdentifier, ) = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier")
( NamedValues, ) = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
( ValueSizeConstraint, ConstraintsIntersection, ConstraintsUnion, ValueRangeConstraint, SingleValueConstraint, ) = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ConstraintsIntersection", "ConstraintsUnion", "ValueRangeConstraint", "SingleValueConstraint")
( ifIndex, ) = mibBuilder.importSymbols("IF-MIB", "ifIndex")
( SnmpAdminString, ) = mibBuilder.importSymbols("SNMP-FRAMEWORK-MIB", "SnmpAdminString")
( ModuleCompliance, ObjectGroup, NotificationGroup, ) = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "ObjectGroup", "NotificationGroup")
( ObjectIdentity, iso, Unsigned32, Gauge32, mib_2, MibIdentifier, Integer32, TimeTicks, MibScalar, MibTable, MibTableRow, MibTableColumn, Bits, Counter64, Counter32, NotificationType, ModuleIdentity, IpAddress, ) = mibBuilder.importSymbols("SNMPv2-SMI", "ObjectIdentity", "iso", "Unsigned32", "Gauge32", "mib-2", "MibIdentifier", "Integer32", "TimeTicks", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Bits", "Counter64", "Counter32", "NotificationType", "ModuleIdentity", "IpAddress")
( TimeInterval, DisplayString, TruthValue, TextualConvention, DateAndTime, ) = mibBuilder.importSymbols("SNMPv2-TC", "TimeInterval", "DisplayString", "TruthValue", "TextualConvention", "DateAndTime")
rohcMIB = ModuleIdentity((1, 3, 6, 1, 2, 1, 112)).setRevisions(("2004-06-03 00:00",))
if mibBuilder.loadTexts: rohcMIB.setLastUpdated('200406030000Z')
if mibBuilder.loadTexts: rohcMIB.setOrganization('IETF Robust Header Compression Working Group')
if mibBuilder.loadTexts: rohcMIB.setContactInfo('WG charter:\n http://www.ietf.org/html.charters/rohc-charter.html\n\n Mailing Lists:\n General Discussion: rohc@ietf.org\n To Subscribe: rohc-request@ietf.org\n In Body: subscribe your_email_address\n\n Editor:\n Juergen Quittek\n NEC Europe Ltd.\n Network Laboratories\n Kurfuersten-Anlage 36\n\n\n\n 69221 Heidelberg\n Germany\n Tel: +49 6221 90511-15\n EMail: quittek@netlab.nec.de')
if mibBuilder.loadTexts: rohcMIB.setDescription('This MIB module defines a set of basic objects for\n monitoring and configuring robust header compression.\n The module covers information about running instances\n of ROHC (compressors or decompressors) at IP interfaces.\n\n Information about compressor contexts and decompressor\n contexts has different structure for different profiles.\n Therefore it is not provided by this MIB module, but by\n individual modules for different profiles.\n\n Copyright (C) The Internet Society (2004). The\n initial version of this MIB module was published\n in RFC 3816. For full legal notices see the RFC\n itself or see:\n http://www.ietf.org/copyrights/ianamib.html')
class RohcChannelIdentifier(Unsigned32, TextualConvention):
displayHint = 'd'
subtypeSpec = Unsigned32.subtypeSpec+ValueRangeConstraint(1,4294967295)
class RohcChannelIdentifierOrZero(Unsigned32, TextualConvention):
displayHint = 'd'
subtypeSpec = Unsigned32.subtypeSpec+ValueRangeConstraint(0,4294967295)
class RohcCompressionRatio(Unsigned32, TextualConvention):
displayHint = 'd'
rohcObjects = MibIdentifier((1, 3, 6, 1, 2, 1, 112, 1))
rohcConformance = MibIdentifier((1, 3, 6, 1, 2, 1, 112, 2))
rohcInstanceObjects = MibIdentifier((1, 3, 6, 1, 2, 1, 112, 1, 1))
rohcChannelTable = MibTable((1, 3, 6, 1, 2, 1, 112, 1, 1, 1), )
if mibBuilder.loadTexts: rohcChannelTable.setDescription('This table lists and describes all ROHC channels\n per interface.')
rohcChannelEntry = MibTableRow((1, 3, 6, 1, 2, 1, 112, 1, 1, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "ROHC-MIB", "rohcChannelID"))
if mibBuilder.loadTexts: rohcChannelEntry.setDescription('An entry describing a particular script. Every script that\n is stored in non-volatile memory is required to appear in\n\n\n\n this script table.\n\n Note, that the rohcChannelID identifies the channel\n uniquely. The ifIndex is part of the index of this table\n just in order to allow addressing channels per interface.')
rohcChannelID = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 1, 1, 2), RohcChannelIdentifier())
if mibBuilder.loadTexts: rohcChannelID.setDescription("The locally arbitrary, but unique identifier associated\n with this channel. The value is REQUIRED to be unique\n per ROHC MIB implementation independent of the associated\n interface.\n\n The value is REQUIRED to remain constant at least from one\n re-initialization of the entity's network management system\n to the next re-initialization. It is RECOMMENDED that the\n value persist across such re-initializations.")
rohcChannelType = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3,))).clone(namedValues=NamedValues(("notInUse", 1), ("rohc", 2), ("dedicatedFeedback", 3),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcChannelType.setDescription('Type of usage of the channel. A channel might be currently\n not in use for ROHC or feedback, it might be in use as\n a ROHC channel carrying packets and optional piggy-backed\n feedback, or it might be used as a dedicated feedback\n channel exclusively carrying feedback.')
rohcChannelFeedbackFor = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 1, 1, 4), RohcChannelIdentifierOrZero()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcChannelFeedbackFor.setDescription('The index of another channel of this interface for which\n the channel serves as feedback channel.\n\n If no feedback information is transferred on this channel,\n then the value of this ID is 0. If the channel type is set\n to notInUse(1), then the value of this object must be 0.\n If the channel type is rohc(2) and the value of this object\n is a valid channel ID, then feedback information is\n piggy-backed on the ROHC channel. If the channel type is\n dedicatedFeedback(3), then feedback is transferred on this\n channel and the value of this object MUST be different from\n 0 and MUST identify an existing ROHC channel.')
rohcChannelDescr = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 1, 1, 5), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcChannelDescr.setDescription('A textual description of the channel.')
rohcChannelStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 1, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2,))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcChannelStatus.setDescription('Status of the channel.')
rohcInstanceTable = MibTable((1, 3, 6, 1, 2, 1, 112, 1, 1, 2), )
if mibBuilder.loadTexts: rohcInstanceTable.setDescription('This table lists properties of running instances\n of robust header compressors and decompressors\n at IP interfaces. It is indexed by interface number,\n the type of instance (compressor or decompressor),\n and the ID of the channel used by the instance as\n ROHC channel.\n\n Note that the rohcChannelID uniquely identifies an\n instance. The ifIndex and rohcInstanceType are part\n of the index, because it simplifies accessing instances\n per interface and for addressing either compressors or\n decompressors only.')
rohcInstanceEntry = MibTableRow((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "ROHC-MIB", "rohcInstanceType"), (0, "ROHC-MIB", "rohcChannelID"))
if mibBuilder.loadTexts: rohcInstanceEntry.setDescription('An entry describing a particular instance\n of a robust header compressor or decompressor.')
rohcInstanceType = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2,))).clone(namedValues=NamedValues(("compressor", 1), ("decompressor", 2),)))
if mibBuilder.loadTexts: rohcInstanceType.setDescription('Type of the instance of ROHC. It is either a\n compressor instance or a decompressor instance.')
rohcInstanceFBChannelID = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 4), RohcChannelIdentifierOrZero()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcInstanceFBChannelID.setDescription('Identifier of the channel used for feedback.\n If no feedback channel is used, the value of\n this object is 0 .')
rohcInstanceVendor = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 5), ObjectIdentifier()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcInstanceVendor.setDescription('An object identifier that identifies the vendor who\n provides the implementation of robust header description.\n This object identifier SHALL point to the object identifier\n directly below the enterprise object identifier\n {1 3 6 1 4 1} allocated for the vendor. The value must be\n the object identifier {0 0} if the vendor is not known.')
rohcInstanceVersion = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 6), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(0,32))).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcInstanceVersion.setDescription('The version number of the implementation of robust header\n compression. The zero-length string shall be used if the\n implementation does not have a version number.\n\n\n\n\n It is suggested that the version number consist of one or\n more decimal numbers separated by dots, where the first\n number is called the major version number.')
rohcInstanceDescr = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 7), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcInstanceDescr.setDescription('A textual description of the implementation.')
rohcInstanceClockRes = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 8), Unsigned32()).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcInstanceClockRes.setDescription('This object indicates the system clock resolution in\n units of milliseconds. A zero (0) value means that there\n is no clock available.')
rohcInstanceMaxCID = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 9), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1,16383))).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcInstanceMaxCID.setDescription('The highest context ID number to be used by the\n compressor. Note that this parameter is not coupled to,\n but in effect further constrained by,\n rohcChannelLargeCIDs.')
rohcInstanceLargeCIDs = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 10), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcInstanceLargeCIDs.setDescription('When retrieved, this boolean object returns false if\n the short CID representation (0 bytes or 1 prefix byte,\n covering CID 0 to 15) is used; it returns true, if the\n embedded CID representation (1 or 2 embedded CID bytes\n covering CID 0 to 16383) is used.')
rohcInstanceMRRU = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 11), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcInstanceMRRU.setDescription('Maximum reconstructed reception unit. This is the\n size of the largest reconstructed unit in octets that\n the decompressor is expected to reassemble from\n segments (see RFC 3095, Section 5.2.5). Note that this\n size includes the CRC. If MRRU is negotiated to be 0,\n no segment headers are allowed on the channel.')
rohcInstanceContextStorageTime = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 12), TimeInterval().clone(360000)).setUnits('centi-seconds').setMaxAccess("readwrite")
if mibBuilder.loadTexts: rohcInstanceContextStorageTime.setDescription('This object indicates the default maximum amount of time\n information on a context belonging to this instance is kept\n as entry in the rohcContextTable after the context is\n expired or terminated. The value of this object is used\n to initialize rohcContexStorageTime object when a new\n context is created.\n Changing the value of an rohcInstanceContextStorageTime\n instance does not affect any entry of the rohcContextTable\n created previously.\n ROHC-MIB implementations SHOULD store the set value of this\n object persistently.')
rohcInstanceStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2,))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcInstanceStatus.setDescription('Status of the instance of ROHC.')
rohcInstanceContextsTotal = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 14), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcInstanceContextsTotal.setDescription('Counter of all contexts created by this instance.\n\n Discontinuities in the value of this counter can\n occur at re-initialization of the management\n system, and at other times as indicated by the\n value of ifCounterDiscontinuityTime.')
rohcInstanceContextsCurrent = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 15), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcInstanceContextsCurrent.setDescription('Number of currently active contexts created by this\n instance.')
rohcInstancePackets = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 16), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcInstancePackets.setDescription('Counter of all packets passing this instance.\n\n Discontinuities in the value of this counter can\n occur at re-initialization of the management\n system, and at other times as indicated by the\n value of ifCounterDiscontinuityTime.')
rohcInstanceIRs = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 17), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcInstanceIRs.setDescription('The number of all IR packets that are either sent\n or received by this instance.\n\n Discontinuities in the value of this counter can\n occur at re-initialization of the management\n system, and at other times as indicated by the\n\n\n\n value of ifCounterDiscontinuityTime.')
rohcInstanceIRDYNs = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 18), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcInstanceIRDYNs.setDescription('The number of all IR-DYN packets that are either sent\n or received by this instance.\n\n Discontinuities in the value of this counter can\n occur at re-initialization of the management\n system, and at other times as indicated by the\n value of ifCounterDiscontinuityTime.')
rohcInstanceFeedbacks = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 19), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcInstanceFeedbacks.setDescription('The number of all feedbacks that are either sent\n or received by this instance.\n\n Discontinuities in the value of this counter can\n occur at re-initialization of the management\n system, and at other times as indicated by the\n value of ifCounterDiscontinuityTime.')
rohcInstanceCompressionRatio = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 2, 1, 20), RohcCompressionRatio()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcInstanceCompressionRatio.setDescription('This object indicates the compression ratio so far over all\n packets on the channel served by this instance. The\n compression is computed over all bytes of the IP packets\n including the IP header but excluding all lower layer\n headers.')
rohcProfileTable = MibTable((1, 3, 6, 1, 2, 1, 112, 1, 1, 3), )
if mibBuilder.loadTexts: rohcProfileTable.setDescription('This table lists a set of profiles supported by the\n instance.')
rohcProfileEntry = MibTableRow((1, 3, 6, 1, 2, 1, 112, 1, 1, 3, 1), ).setIndexNames((0, "ROHC-MIB", "rohcChannelID"), (0, "ROHC-MIB", "rohcProfile"))
if mibBuilder.loadTexts: rohcProfileEntry.setDescription('An entry describing a particular profile supported by\n the instance. It is indexed by the rohcChannelID\n identifying the instance and by the rohcProfile.')
rohcProfile = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 3, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0,65535)))
if mibBuilder.loadTexts: rohcProfile.setDescription("Identifier of a profile supported. For a listing of\n possible profile values, see the IANA registry for\n 'RObust Header Compression (ROHC) Profile Identifiers'\n at http://www.iana.org/assignments/rohc-pro-ids")
rohcProfileVendor = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 3, 1, 3), ObjectIdentifier()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcProfileVendor.setDescription('An object identifier that identifies the vendor who\n provides the implementation of robust header description.\n This object identifier SHALL point to the object identifier\n directly below the enterprise object identifier\n {1 3 6 1 4 1} allocated for the vendor. The value must be\n the object identifier {0 0} if the vendor is not known.')
rohcProfileVersion = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 3, 1, 4), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(0,32))).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcProfileVersion.setDescription('The version number of the implementation of robust header\n compression. The zero-length string shall be used if the\n implementation does not have a version number.\n\n It is suggested that the version number consist of one or\n more decimal numbers separated by dots, where the first\n number is called the major version number.')
rohcProfileDescr = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 3, 1, 5), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcProfileDescr.setDescription('A textual description of the implementation.')
rohcProfileNegotiated = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 1, 3, 1, 6), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcProfileNegotiated.setDescription('When retrieved, this boolean object returns true\n if the profile has been negotiated to be used at\n the instance, i.e., is supported also be the\n corresponding compressor/decompressor.')
rohcContextTable = MibTable((1, 3, 6, 1, 2, 1, 112, 1, 2), )
if mibBuilder.loadTexts: rohcContextTable.setDescription('This table lists and describes all compressor contexts\n per instance.')
rohcContextEntry = MibTableRow((1, 3, 6, 1, 2, 1, 112, 1, 2, 1), ).setIndexNames((0, "ROHC-MIB", "rohcChannelID"), (0, "ROHC-MIB", "rohcContextCID"))
if mibBuilder.loadTexts: rohcContextEntry.setDescription('An entry describing a particular compressor context.')
rohcContextCID = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0,16383)))
if mibBuilder.loadTexts: rohcContextCID.setDescription('The context identifier (CID) of this context.')
rohcContextCIDState = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4,))).clone(namedValues=NamedValues(("unused", 1), ("active", 2), ("expired", 3), ("terminated", 4),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextCIDState.setDescription("State of the CID. When a CID is assigned to a context,\n its state changes from `unused' to `active'. The active\n context may stop operation due to some explicit\n signalling or after observing no packet for some specified\n time. In the first case then the CID state changes to\n `terminated', in the latter case it changes to `expired'.\n If the CID is re-used again for another context, the\n state changes back to `active'.")
rohcContextProfile = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 4), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0,65535))).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextProfile.setDescription('Identifier of the profile for this context.\n The profile is identified by its index in the\n rohcProfileTable for this instance. There MUST exist a\n corresponding entry in the rohcProfileTable using the\n value of rohcContextProfile as second part of the index\n (and using the same rohcChannelID as first part of the\n index).')
rohcContextDecompressorDepth = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 5), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextDecompressorDepth.setDescription('This object indicates whether reverse decompression, for\n example as described in RFC 3095, Section 6.1, is used\n on this channel or not, and if used, to what extent.\n\n\n\n\n Its value is only valid for decompressor contexts, i.e.,\n if rohcInstanceType has the value decompressor(2). For\n compressor contexts where rohcInstanceType has the value\n compressor(1), the value of this object is irrelevant\n and MUST be set to zero (0).\n\n The value of the reverse decompression depth indicates\n the maximum number of packets that are buffered, and thus\n possibly be reverse decompressed by the decompressor.\n A zero (0) value means that reverse decompression is not\n used.')
rohcContextStorageTime = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 6), TimeInterval()).setUnits('centi-seconds').setMaxAccess("readwrite")
if mibBuilder.loadTexts: rohcContextStorageTime.setDescription('The value of this object specifies how long this row\n can exist in the rohcContextTable after the\n rohcContextCIDState switched to expired(3) or\n terminated(4). This object returns the remaining time\n that the row may exist before it is aged out. The object\n is initialized with the value of the associated\n rohcContextStorageTime object. After expiration or\n termination of the context, the value of this object ticks\n backwards. The entry in the rohcContextTable is destroyed\n when the value reaches 0.\n\n The value of this object may be set in order to increase or\n reduce the remaining time that the row may exist. Setting\n the value to 0 will destroy this entry as soon as the\n rochContextCIDState has the value expired(3) or\n terminated(4).\n\n Note that there is no guarantee that the row is stored as\n long as this object indicates. In case of limited CID\n space, the instance may re-use a CID before the storage\n time of the corresponding row in rohcContextTable reaches\n the value of 0. In this case the information stored in this\n row is not anymore available.')
rohcContextActivationTime = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 7), DateAndTime().clone(hexValue="0000000000000000")).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextActivationTime.setDescription("The date and time when the context started to be able to\n compress packets or decompress packets, respectively.\n The value '0000000000000000'H is returned if the context\n has not been activated yet.")
rohcContextDeactivationTime = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 8), DateAndTime().clone(hexValue="0000000000000000")).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextDeactivationTime.setDescription("The date and time when the context stopped being able to\n compress packets or decompress packets, respectively,\n because it expired or was terminated for other reasons.\n The value '0000000000000000'H is returned if the context\n has not been deactivated yet.")
rohcContextPackets = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 9), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextPackets.setDescription('The number of all packets passing this context.\n\n Discontinuities in the value of this counter can\n occur at re-initialization of the management\n system, and at other times as indicated by the\n value of ifCounterDiscontinuityTime. For checking\n ifCounterDiscontinuityTime, the interface index is\n required. It can be determined by reading the\n rohcChannelTable.')
rohcContextIRs = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 10), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextIRs.setDescription('The number of all IR packets sent or received,\n respectively, by this context.\n\n Discontinuities in the value of this counter can\n occur at re-initialization of the management\n system, and at other times as indicated by the\n\n\n\n value of ifCounterDiscontinuityTime. For checking\n ifCounterDiscontinuityTime, the interface index is\n required. It can be determined by reading the\n rohcChannelTable.')
rohcContextIRDYNs = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 11), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextIRDYNs.setDescription('The number of all IR-DYN packets sent or received,\n respectively, by this context.\n\n Discontinuities in the value of this counter can\n occur at re-initialization of the management\n system, and at other times as indicated by the\n value of ifCounterDiscontinuityTime. For checking\n ifCounterDiscontinuityTime, the interface index is\n required. It can be determined by reading the\n rohcChannelTable.')
rohcContextFeedbacks = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 12), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextFeedbacks.setDescription('The number of all feedbacks sent or received,\n respectively, by this context.\n\n Discontinuities in the value of this counter can\n occur at re-initialization of the management\n system, and at other times as indicated by the\n value of ifCounterDiscontinuityTime. For checking\n ifCounterDiscontinuityTime, the interface index is\n required. It can be determined by reading the\n rohcChannelTable.')
rohcContextDecompressorFailures = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 13), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextDecompressorFailures.setDescription('The number of all decompressor failures so far in this\n context. The number is only valid for decompressor\n contexts, i.e., if rohcInstanceType has the value\n decompressor(2).\n\n Discontinuities in the value of this counter can\n occur at re-initialization of the management\n system, and at other times as indicated by the\n value of ifCounterDiscontinuityTime. For checking\n ifCounterDiscontinuityTime, the interface index is\n required. It can be determined by reading the\n rohcChannelTable.')
rohcContextDecompressorRepairs = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 14), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextDecompressorRepairs.setDescription('The number of all context repairs so far in this\n context. The number is only valid for decompressor\n contexts, i.e., if rohcInstanceType has the value\n decompressor(2).\n\n Discontinuities in the value of this counter can\n occur at re-initialization of the management\n system, and at other times as indicated by the\n value of ifCounterDiscontinuityTime. For checking\n ifCounterDiscontinuityTime, the interface index is\n required. It can be determined by reading the\n rohcChannelTable.')
rohcContextAllPacketsRatio = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 15), RohcCompressionRatio()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextAllPacketsRatio.setDescription('This object indicates the compression ratio so far over all\n packets passing this context. The compression is computed\n over all bytes of the IP packets including the IP header\n but excluding all lower layer headers.')
rohcContextAllHeadersRatio = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 16), RohcCompressionRatio()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextAllHeadersRatio.setDescription('This object indicates the compression ratio so far over all\n packet headers passing this context. The compression is\n computed over all bytes of all headers that are subject to\n compression for the used profile.')
rohcContextAllPacketsMeanSize = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 17), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextAllPacketsMeanSize.setDescription('This object indicates the mean compressed packet size\n of all packets passing this context. The packet size\n includes the IP header and payload but excludes all lower\n layer headers. The mean value is given in byte rounded\n to the next integer value.')
rohcContextAllHeadersMeanSize = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 18), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextAllHeadersMeanSize.setDescription('This object indicates the mean compressed packet header size\n of all packets passing this context. The packet header size\n is the sum of the size of all headers of a packet that are\n subject to compression for the used profile. The mean value\n is given in byte rounded to the next integer value.')
rohcContextLastPacketsRatio = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 19), RohcCompressionRatio()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextLastPacketsRatio.setDescription('This object indicates the compression ratio\n concerning the last 16 packets passing this context\n or concerning all packets passing this context\n if they are less than 16, so far. The compression is\n computed over all bytes of the IP packets including the IP\n header but excluding all lower layer headers.')
rohcContextLastHeadersRatio = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 20), RohcCompressionRatio()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextLastHeadersRatio.setDescription('This object indicates the compression ratio concerning the\n headers of the last 16 packets passing this context or\n concerning the headers of all packets passing this context\n if they are less than 16, so far. The compression is\n computed over all bytes of all headers that are subject to\n compression for the used profile.')
rohcContextLastPacketsMeanSize = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 21), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextLastPacketsMeanSize.setDescription('This object indicates the mean compressed packet size\n concerning the last 16 packets passing this context or\n concerning all packets passing this context if they are\n less than 16, so far. The packet size includes the IP\n header and payload but excludes all lower layer headers.\n The mean value is given in byte rounded to the next\n integer value.')
rohcContextLastHeadersMeanSize = MibTableColumn((1, 3, 6, 1, 2, 1, 112, 1, 2, 1, 22), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rohcContextLastHeadersMeanSize.setDescription('This object indicates the mean compressed packet header size\n concerning the last 16 packets passing this context or\n concerning all packets passing this context if they are\n less than 16, so far. The packet header size is the sum of\n the size of all headers of a packet that are subject to\n compression for the used profile. The mean value is given\n in byte rounded to the next integer value.')
rohcCompliances = MibIdentifier((1, 3, 6, 1, 2, 1, 112, 2, 1))
rohcGroups = MibIdentifier((1, 3, 6, 1, 2, 1, 112, 2, 2))
rohcCompliance = ModuleCompliance((1, 3, 6, 1, 2, 1, 112, 2, 1, 1)).setObjects(*(("ROHC-MIB", "rohcInstanceGroup"), ("ROHC-MIB", "rohcContextGroup"), ("ROHC-MIB", "rohcStatisticsGroup"), ("ROHC-MIB", "rohcTimerGroup"), ("ROHC-MIB", "rohcContextStatisticsGroup"),))
if mibBuilder.loadTexts: rohcCompliance.setDescription('The compliance statement for SNMP entities that implement\n the ROHC-MIB.\n\n Note that compliance with this compliance\n statement requires compliance with the\n ifCompliance3 MODULE-COMPLIANCE statement of the\n IF-MIB (RFC2863).')
rohcInstanceGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 112, 2, 2, 2)).setObjects(*(("ROHC-MIB", "rohcChannelType"), ("ROHC-MIB", "rohcChannelFeedbackFor"), ("ROHC-MIB", "rohcChannelDescr"), ("ROHC-MIB", "rohcChannelStatus"), ("ROHC-MIB", "rohcInstanceFBChannelID"), ("ROHC-MIB", "rohcInstanceVendor"), ("ROHC-MIB", "rohcInstanceVersion"), ("ROHC-MIB", "rohcInstanceDescr"), ("ROHC-MIB", "rohcInstanceClockRes"), ("ROHC-MIB", "rohcInstanceMaxCID"), ("ROHC-MIB", "rohcInstanceLargeCIDs"), ("ROHC-MIB", "rohcInstanceMRRU"), ("ROHC-MIB", "rohcInstanceStatus"), ("ROHC-MIB", "rohcProfileVendor"), ("ROHC-MIB", "rohcProfileVersion"), ("ROHC-MIB", "rohcProfileDescr"), ("ROHC-MIB", "rohcProfileNegotiated"),))
if mibBuilder.loadTexts: rohcInstanceGroup.setDescription('A collection of objects providing information about\n ROHC instances, used channels and available profiles.')
rohcStatisticsGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 112, 2, 2, 4)).setObjects(*(("ROHC-MIB", "rohcInstanceContextsTotal"), ("ROHC-MIB", "rohcInstanceContextsCurrent"), ("ROHC-MIB", "rohcInstancePackets"), ("ROHC-MIB", "rohcInstanceIRs"), ("ROHC-MIB", "rohcInstanceIRDYNs"), ("ROHC-MIB", "rohcInstanceFeedbacks"), ("ROHC-MIB", "rohcInstanceCompressionRatio"),))
if mibBuilder.loadTexts: rohcStatisticsGroup.setDescription('A collection of objects providing ROHC statistics.')
rohcContextGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 112, 2, 2, 5)).setObjects(*(("ROHC-MIB", "rohcContextCIDState"), ("ROHC-MIB", "rohcContextProfile"), ("ROHC-MIB", "rohcContextDecompressorDepth"),))
if mibBuilder.loadTexts: rohcContextGroup.setDescription('A collection of objects providing information about\n ROHC compressor contexts and decompressor contexts.')
rohcTimerGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 112, 2, 2, 6)).setObjects(*(("ROHC-MIB", "rohcInstanceContextStorageTime"), ("ROHC-MIB", "rohcContextStorageTime"), ("ROHC-MIB", "rohcContextActivationTime"), ("ROHC-MIB", "rohcContextDeactivationTime"),))
if mibBuilder.loadTexts: rohcTimerGroup.setDescription('A collection of objects providing statistical information\n about ROHC compressor contexts and decompressor contexts.')
rohcContextStatisticsGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 112, 2, 2, 7)).setObjects(*(("ROHC-MIB", "rohcContextPackets"), ("ROHC-MIB", "rohcContextIRs"), ("ROHC-MIB", "rohcContextIRDYNs"), ("ROHC-MIB", "rohcContextFeedbacks"), ("ROHC-MIB", "rohcContextDecompressorFailures"), ("ROHC-MIB", "rohcContextDecompressorRepairs"), ("ROHC-MIB", "rohcContextAllPacketsRatio"), ("ROHC-MIB", "rohcContextAllHeadersRatio"), ("ROHC-MIB", "rohcContextAllPacketsMeanSize"), ("ROHC-MIB", "rohcContextAllHeadersMeanSize"), ("ROHC-MIB", "rohcContextLastPacketsRatio"), ("ROHC-MIB", "rohcContextLastHeadersRatio"), ("ROHC-MIB", "rohcContextLastPacketsMeanSize"), ("ROHC-MIB", "rohcContextLastHeadersMeanSize"),))
if mibBuilder.loadTexts: rohcContextStatisticsGroup.setDescription('A collection of objects providing statistical information\n about ROHC compressor contexts and decompressor contexts.')
mibBuilder.exportSymbols("ROHC-MIB", rohcProfileVendor=rohcProfileVendor, rohcInstanceEntry=rohcInstanceEntry, rohcContextDecompressorDepth=rohcContextDecompressorDepth, rohcInstanceIRs=rohcInstanceIRs, rohcChannelID=rohcChannelID, rohcContextTable=rohcContextTable, rohcContextDeactivationTime=rohcContextDeactivationTime, rohcInstanceContextsCurrent=rohcInstanceContextsCurrent, rohcInstanceTable=rohcInstanceTable, rohcInstanceMaxCID=rohcInstanceMaxCID, rohcInstanceFBChannelID=rohcInstanceFBChannelID, RohcChannelIdentifierOrZero=RohcChannelIdentifierOrZero, rohcContextFeedbacks=rohcContextFeedbacks, rohcMIB=rohcMIB, rohcTimerGroup=rohcTimerGroup, rohcContextDecompressorRepairs=rohcContextDecompressorRepairs, rohcInstanceContextStorageTime=rohcInstanceContextStorageTime, rohcInstanceGroup=rohcInstanceGroup, RohcCompressionRatio=RohcCompressionRatio, rohcContextPackets=rohcContextPackets, rohcInstanceLargeCIDs=rohcInstanceLargeCIDs, rohcStatisticsGroup=rohcStatisticsGroup, rohcProfileVersion=rohcProfileVersion, rohcContextLastPacketsMeanSize=rohcContextLastPacketsMeanSize, rohcChannelDescr=rohcChannelDescr, rohcObjects=rohcObjects, rohcContextIRs=rohcContextIRs, rohcContextAllHeadersMeanSize=rohcContextAllHeadersMeanSize, rohcInstancePackets=rohcInstancePackets, rohcContextDecompressorFailures=rohcContextDecompressorFailures, rohcCompliances=rohcCompliances, rohcInstanceStatus=rohcInstanceStatus, rohcContextLastPacketsRatio=rohcContextLastPacketsRatio, rohcInstanceVendor=rohcInstanceVendor, rohcContextLastHeadersMeanSize=rohcContextLastHeadersMeanSize, rohcContextProfile=rohcContextProfile, rohcChannelEntry=rohcChannelEntry, rohcInstanceVersion=rohcInstanceVersion, rohcInstanceFeedbacks=rohcInstanceFeedbacks, rohcContextStorageTime=rohcContextStorageTime, rohcContextAllPacketsMeanSize=rohcContextAllPacketsMeanSize, rohcChannelTable=rohcChannelTable, rohcContextActivationTime=rohcContextActivationTime, rohcContextIRDYNs=rohcContextIRDYNs, rohcContextCID=rohcContextCID, rohcInstanceClockRes=rohcInstanceClockRes, rohcContextCIDState=rohcContextCIDState, rohcProfile=rohcProfile, rohcContextLastHeadersRatio=rohcContextLastHeadersRatio, rohcInstanceCompressionRatio=rohcInstanceCompressionRatio, rohcProfileDescr=rohcProfileDescr, rohcGroups=rohcGroups, rohcChannelStatus=rohcChannelStatus, rohcCompliance=rohcCompliance, rohcProfileNegotiated=rohcProfileNegotiated, PYSNMP_MODULE_ID=rohcMIB, RohcChannelIdentifier=RohcChannelIdentifier, rohcProfileEntry=rohcProfileEntry, rohcChannelType=rohcChannelType, rohcContextGroup=rohcContextGroup, rohcInstanceMRRU=rohcInstanceMRRU, rohcInstanceIRDYNs=rohcInstanceIRDYNs, rohcContextEntry=rohcContextEntry, rohcChannelFeedbackFor=rohcChannelFeedbackFor, rohcContextStatisticsGroup=rohcContextStatisticsGroup, rohcContextAllHeadersRatio=rohcContextAllHeadersRatio, rohcProfileTable=rohcProfileTable, rohcConformance=rohcConformance, rohcInstanceType=rohcInstanceType, rohcInstanceContextsTotal=rohcInstanceContextsTotal, rohcInstanceDescr=rohcInstanceDescr, rohcInstanceObjects=rohcInstanceObjects, rohcContextAllPacketsRatio=rohcContextAllPacketsRatio)
| 246.384146
| 3,124
| 0.740144
| 5,111
| 40,407
| 5.850323
| 0.128351
| 0.008093
| 0.011036
| 0.009498
| 0.480151
| 0.43945
| 0.369887
| 0.343667
| 0.312163
| 0.29484
| 0
| 0.040076
| 0.163239
| 40,407
| 163
| 3,125
| 247.895706
| 0.844281
| 0.007226
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| 0.568543
| 0.033436
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| 0.065359
| 0.052288
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| 0
|
0
| 4
|
a50bf5796e4acbc1519350c7c0f92a9d2b1f20f3
| 24
|
py
|
Python
|
aldryn_django_cms/__init__.py
|
vladimir-bezrukov/Aldryn-Django-cms
|
0edac2ee0d14fada9e960afe99750b343ceeb706
|
[
"BSD-3-Clause"
] | 1
|
2021-11-04T17:46:35.000Z
|
2021-11-04T17:46:35.000Z
|
aldryn_django_cms/__init__.py
|
vladimir-bezrukov/Aldryn-Django-cms
|
0edac2ee0d14fada9e960afe99750b343ceeb706
|
[
"BSD-3-Clause"
] | null | null | null |
aldryn_django_cms/__init__.py
|
vladimir-bezrukov/Aldryn-Django-cms
|
0edac2ee0d14fada9e960afe99750b343ceeb706
|
[
"BSD-3-Clause"
] | null | null | null |
__version__ = '3.6.0.1'
| 12
| 23
| 0.625
| 5
| 24
| 2.2
| 1
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| 0.125
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| 24
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| 0
| 0
|
0
| 4
|
a50cd6a066649f21e84260aa02f2b64721a82778
| 1,188
|
py
|
Python
|
src/jemo/plugins/base.py
|
jazzycamel/jemo
|
172a28cb9c4f75efeaf7640ce6b77d720f6e713e
|
[
"MIT"
] | null | null | null |
src/jemo/plugins/base.py
|
jazzycamel/jemo
|
172a28cb9c4f75efeaf7640ce6b77d720f6e713e
|
[
"MIT"
] | null | null | null |
src/jemo/plugins/base.py
|
jazzycamel/jemo
|
172a28cb9c4f75efeaf7640ce6b77d720f6e713e
|
[
"MIT"
] | null | null | null |
from abc import ABC, abstractmethod
from typing import Callable
class PluginBase(ABC):
def __init__(self, *, name: str, port: int) -> None:
self._name = name
self._port = port
self._latest_action = "off"
def __getattribute__(self, name: str) -> Callable:
if name in ("on", "off"):
success = object.__getattribute__(self, name)()
if success is True:
self._latest_action = name
return lambda: success
return object.__getattribute__(self, name)
def __repr__(self) -> str:
attrs = ", ".join(f"{k}={v!r}" for k, v in self.__dict__.items())
return f"{self.__class__.__name__}({attrs}"
@property
def port(self) -> int:
return self._port
@property
def name(self) -> str:
return self._name
@abstractmethod
def on(self) -> bool: # pylint:disable=invalid-name
pass
@abstractmethod
def off(self) -> bool:
pass
def get_state(self) -> str:
return self._latest_action
def close(self) -> None:
pass
@property
def latest_action(self) -> str:
return self._latest_action
| 24.75
| 73
| 0.588384
| 141
| 1,188
| 4.631206
| 0.340426
| 0.073507
| 0.098009
| 0.078101
| 0.088821
| 0.088821
| 0
| 0
| 0
| 0
| 0
| 0
| 0.29798
| 1,188
| 47
| 74
| 25.276596
| 0.782974
| 0.022727
| 0
| 0.277778
| 0
| 0
| 0.044866
| 0.028473
| 0
| 0
| 0
| 0
| 0
| 1
| 0.277778
| false
| 0.083333
| 0.055556
| 0.111111
| 0.555556
| 0
| 0
| 0
| 0
| null | 0
| 0
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| null | 0
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| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
eb59a61061f97223ab1d4a63d1d6e26c9e3f3922
| 64
|
py
|
Python
|
tests/helpers/test_model_interface.py
|
sebastian-lapuschkin/Quantus
|
c3b8a9fb2018f34bd89ba38efa2b2b8c38128b3f
|
[
"MIT"
] | null | null | null |
tests/helpers/test_model_interface.py
|
sebastian-lapuschkin/Quantus
|
c3b8a9fb2018f34bd89ba38efa2b2b8c38128b3f
|
[
"MIT"
] | null | null | null |
tests/helpers/test_model_interface.py
|
sebastian-lapuschkin/Quantus
|
c3b8a9fb2018f34bd89ba38efa2b2b8c38128b3f
|
[
"MIT"
] | null | null | null |
"""No identified need to test model interface functionality."""
| 32
| 63
| 0.765625
| 8
| 64
| 6.125
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 64
| 1
| 64
| 64
| 0.875
| 0.890625
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
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| 0
| null | 0
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| null | 0
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| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
eb9dfa5d0a36f0ca4db0ee5aca27a1643f342549
| 257
|
py
|
Python
|
matdat/__init__.py
|
Fumipo-Theta/matdat
|
cb55acd346acef5f192d71c835b8fbe5c957cc55
|
[
"BSD-2-Clause"
] | null | null | null |
matdat/__init__.py
|
Fumipo-Theta/matdat
|
cb55acd346acef5f192d71c835b8fbe5c957cc55
|
[
"BSD-2-Clause"
] | null | null | null |
matdat/__init__.py
|
Fumipo-Theta/matdat
|
cb55acd346acef5f192d71c835b8fbe5c957cc55
|
[
"BSD-2-Clause"
] | null | null | null |
from .figure import Figure
from .subplot import Subplot
from .subplot_time import SubplotTime
from .csv_reader import CsvReader, matchCsv
from .excel_reader import ExcelReader
from .get_path import getFileList, PathList
from .save_plot import actionSavePNG
| 32.125
| 43
| 0.848249
| 35
| 257
| 6.085714
| 0.542857
| 0.103286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.116732
| 257
| 7
| 44
| 36.714286
| 0.938326
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
ebb6654546e2771ea9a8d0a98c2ca7dabc9a83dc
| 230
|
py
|
Python
|
scrapyu/__init__.py
|
lin-zone/scrapyu
|
abcb8eed2ea02121b74017e007c57c0d3762342d
|
[
"MIT"
] | 1
|
2021-01-05T09:11:42.000Z
|
2021-01-05T09:11:42.000Z
|
scrapyu/__init__.py
|
lin-zone/scrapyu
|
abcb8eed2ea02121b74017e007c57c0d3762342d
|
[
"MIT"
] | null | null | null |
scrapyu/__init__.py
|
lin-zone/scrapyu
|
abcb8eed2ea02121b74017e007c57c0d3762342d
|
[
"MIT"
] | null | null | null |
__version__ = '0.1.12'
from ._useragent import UserAgentMiddleware
from ._markdown import MarkdownPipeline
from ._cookies import FirefoxCookiesMiddleware
from ._mongodb import MongoDBPipeline
from ._redis import RedisDupeFilter
| 25.555556
| 46
| 0.847826
| 24
| 230
| 7.75
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019512
| 0.108696
| 230
| 8
| 47
| 28.75
| 0.887805
| 0
| 0
| 0
| 0
| 0
| 0.026087
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.833333
| 0
| 0.833333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
ebd3c4127f7770e12f634b24cbfe903d62dc536d
| 57
|
py
|
Python
|
LUCI/LuciConvenience.py
|
benjaminvigneron/LUCI
|
227bb1e0b87aa06012b2809d9af7767a261e0f00
|
[
"MIT"
] | null | null | null |
LUCI/LuciConvenience.py
|
benjaminvigneron/LUCI
|
227bb1e0b87aa06012b2809d9af7767a261e0f00
|
[
"MIT"
] | null | null | null |
LUCI/LuciConvenience.py
|
benjaminvigneron/LUCI
|
227bb1e0b87aa06012b2809d9af7767a261e0f00
|
[
"MIT"
] | null | null | null |
"""
A hodge-podge of convenience functions for luci
"""
| 11.4
| 47
| 0.701754
| 8
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| 57
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| 48
| 14.25
| 0.851064
| 0.824561
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
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0
| 4
|
ccdd11c45e65428dfc4eae76238a33996803a95a
| 12,491
|
py
|
Python
|
py/manipulation/props/parametric_object/parametric_object_test.py
|
LaudateCorpus1/dm_robotics
|
647bc810788c74972c1684a8d2e4d2dfd2791485
|
[
"Apache-2.0"
] | null | null | null |
py/manipulation/props/parametric_object/parametric_object_test.py
|
LaudateCorpus1/dm_robotics
|
647bc810788c74972c1684a8d2e4d2dfd2791485
|
[
"Apache-2.0"
] | 1
|
2021-10-05T16:07:56.000Z
|
2021-10-05T16:07:56.000Z
|
py/manipulation/props/parametric_object/parametric_object_test.py
|
LaudateCorpus1/dm_robotics
|
647bc810788c74972c1684a8d2e4d2dfd2791485
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 2020 DeepMind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests for parametric_object.py."""
from absl.testing import absltest
from absl.testing import parameterized
from dm_robotics.manipulation.props.parametric_object import parametric_object
class PropertyTest(parameterized.TestCase):
def test_size_mismatch_in_init(self):
with self.assertRaises(ValueError):
_ = parametric_object.ParametricMinMaxBounds({
'p': [[0, 255]], 'q': [[0, 255]], 'r': [[1, 2, 3]]})
with self.assertRaises(ValueError):
_ = parametric_object.ParametricMinMaxBounds({
'p': [[0, 255]], 'q': [[0, 255]], 'r': [[1]]})
with self.assertRaises(ValueError):
_ = parametric_object.ParametricMinMaxBounds({
'p': [[0, 255]], 'q': [[0, 255]], 'r': [[]]})
with self.assertRaises(ValueError):
_ = parametric_object.ParametricMinMaxBounds({
'p': [[0, 255]], 'q': [[0, 255]], 'r': []})
def test_check_instance_assertions(self):
param_names = ('p', 'q', 'r')
param_check = parametric_object.ParametricMinMaxBounds({
'p': [[0, 255]], 'q': [[0, 255]], 'r': [[0, 255]]})
prop = parametric_object.ParametricProperties(param_names, param_check)
prop.check_instance({'p': 122, 'q': 122, 'r': 122})
self.assertEqual(prop._param_names, ('p', 'q', 'r'))
reply = prop.check_instance({'p': 500, 'q': 0, 'r': 0})
self.assertEqual(False, reply)
reply = prop.check_instance({'p': 0, 'q': -500, 'r': 0})
self.assertEqual(False, reply)
param_check = parametric_object.ParametricMinMaxBounds({
'p': [[0, 255]], 'q': [['p', 'r']], 'r': [[0, 255]]})
prop = parametric_object.ParametricProperties(param_names, param_check)
prop.check_instance({'p': 0, 'q': 122, 'r': 255})
reply = prop.check_instance({'p': 0, 'q': 255, 'r': 122})
self.assertEqual(False, reply)
reply = prop.check_instance({'p': 122, 'q': 0, 'r': 255})
self.assertEqual(False, reply)
with self.assertRaises(ValueError):
prop.check_instance({'p': 0, 'q': 255})
param_names = ('p0', 'p1', 'p2')
with self.assertRaises(ValueError):
param_check = parametric_object.ParametricMinMaxBounds({
'p0': [[0, 255]], 'p1': [[0, 255]], 'p2': [[0, 255]]}).check_instance
def test_get_dict(self):
names = ('first', 'second', 'third')
checks = parametric_object.ParametricMinMaxBounds({
'first': [[0, 255]],
'second': [[0, 255]],
'third': [[0, 255]]})
prop = parametric_object.ParametricProperties(names, checks)
_ = prop.get_dict('first0_second0_third0')
with self.assertRaises(ValueError):
_ = prop.get_dict('first0_second0')
with self.assertRaises(ValueError):
_ = prop.get_dict('first0_second0_fourth0')
with self.assertRaises(ValueError):
_ = prop.get_dict('first0_second0_')
def test_set_types(self):
names = ('first', 'second', 'third')
types = {'first': parametric_object.ParametersTypes.INTEGER,
'second': parametric_object.ParametersTypes.INTEGER,
'third': parametric_object.ParametersTypes.INTEGER}
checks = parametric_object.ParametricMinMaxBounds({
'first': [[0, 255]],
'second': [[0, 255]],
'third': [[0, 255]]}, types)
prop = parametric_object.ParametricProperties(names, checks)
reply = prop.check_instance({'first': 0, 'second': 255, 'third': 122})
self.assertEqual(True, reply)
reply = prop.check_instance({'first': 0.0, 'second': 0.0, 'third': 0.0})
self.assertEqual(False, reply)
prop_shape = parametric_object.ParametricProperties(names, checks)
prop_texture = parametric_object.ParametricProperties(names, checks)
prop = parametric_object.ParametricObject(prop_shape, prop_texture)
reply = prop.check_instance({'first': 0, 'second': 255, 'third': 122},
{'first': 0, 'second': 255, 'third': 122})
self.assertEqual(True, reply)
names = ('first', 'second', 'third')
types = {'first': parametric_object.ParametersTypes.FLOAT,
'second': parametric_object.ParametersTypes.FLOAT,
'third': parametric_object.ParametersTypes.FLOAT}
checks = parametric_object.ParametricMinMaxBounds({
'first': [[0, 255]],
'second': [[0, 255]],
'third': [[0, 255]]}, types)
prop = parametric_object.ParametricProperties(names, checks)
_ = prop.check_instance({'first': 0.0, 'second': 0.0, 'third': 0.0})
reply = prop.check_instance({'first': 0, 'second': 255, 'third': 122})
self.assertEqual(False, reply)
types = {'first': parametric_object.ParametersTypes.FLOAT,
'second': parametric_object.ParametersTypes.INTEGER,
'third': parametric_object.ParametersTypes.FLOAT}
checks = parametric_object.ParametricMinMaxBounds({
'first': [[0, 255]],
'second': [[0, 255]],
'third': [[0, 255]]}, types)
prop = parametric_object.ParametricProperties(names, checks)
_ = prop.check_instance({'first': 0.0, 'second': 0, 'third': 0.0})
reply = prop.check_instance({'first': 0, 'second': 255, 'third': 122})
self.assertEqual(False, reply)
names = ('p', 'q', 'r')
checks = parametric_object.ParametricMinMaxBounds({
'p': [[0, 255]], 'q': [[0, 255]], 'r': [[0, 255]]})
prop = parametric_object.ParametricProperties(names, checks)
_ = prop.check_instance({'p': 0.0, 'q': 0, 'r': 0.0})
_ = prop.check_instance({'p': 0, 'q': 255.0, 'r': 122})
def test_parameters_min_max_tuples(self):
# 0 <= p0, p1, p2 <=1
# 3 <= p0, p1, p2 <=4
names = ('first', 'second', 'third')
checks = parametric_object.ParametricMinMaxBounds({
'first': [[0, 1], [3, 4]],
'second': [[0, 1], [3, 4]],
'third': [[0, 1], [3, 4]]})
prop = parametric_object.ParametricProperties(names, checks)
_ = prop.check_instance({'first': 0, 'second': 0, 'third': 0})
_ = prop.check_instance({'first': 1, 'second': 1, 'third': 1})
_ = prop.check_instance({'first': 3, 'second': 3, 'third': 3})
_ = prop.check_instance({'first': 4, 'second': 4, 'third': 4})
reply = prop.check_instance({'first': 2, 'second': 2, 'third': 2})
self.assertEqual(False, reply)
reply = prop.check_instance({'first': 2, 'second': 3, 'third': 3})
self.assertEqual(False, reply)
reply = prop.check_instance({'first': 2, 'second': 3, 'third': 2})
self.assertEqual(False, reply)
reply = prop.check_instance({'first': 3, 'second': 3, 'third': 2})
self.assertEqual(False, reply)
reply = prop.check_instance({'first': 5, 'second': 3, 'third': 3})
self.assertEqual(False, reply)
reply = prop.check_instance({'first': 1, 'second': 3, 'third': 3})
self.assertEqual(False, reply)
# if a == 2, 0 <= b <= c, 0 <= c <=10
# if 3 <= a <= 10, 0 <= b <= 10, 0 <= c <=10
names = ('a', 'b', 'c')
checks = parametric_object.ParametricMinMaxBounds({
'a': [[2, 2], [3, 10]],
'b': [[0, 'c'], [0, 10]],
'c': [[0, 10], [0, 10]]})
prop = parametric_object.ParametricProperties(names, checks)
# if a == 2, 0 <= b <= c, 0 <= c <=10
# if 3 <= a <= 10, 0 <= b <= 10, 0 <= c <=10
with self.assertRaises(ValueError):
checks = parametric_object.ParametricMinMaxBounds({
'a': [[2, 2], [3, 10]],
'b': [[0, 'c'], [0, 10]],
'c': [[0, 10]]})
_ = prop.check_instance({'a': 2, 'b': 2, 'c': 10})
_ = prop.check_instance({'a': 3, 'b': 5, 'c': 2})
reply = prop.check_instance({'a': 2, 'b': 5, 'c': 2})
self.assertEqual(False, reply)
def test_add_parametric_dict(self):
a = parametric_object.ParametersDict({'k1': 1, 'k2': 2})
b = parametric_object.ParametersDict({'k1': 3, 'k2': 4})
c = parametric_object.ParametersDict({'k3': 5, 'k4': 6})
d = parametric_object.ParametersDict({'k1': 7, 'k4': 8})
r = a + b
self.assertEqual(r['k1'], 4)
self.assertEqual(r['k2'], 6)
with self.assertRaises(TypeError):
r = a + 1
with self.assertRaises(ValueError):
r = a + c
with self.assertRaises(ValueError):
r = a + d
def test_sub_parametric_dict(self):
a = parametric_object.ParametersDict({'k1': 1, 'k2': 2})
b = parametric_object.ParametersDict({'k1': 3, 'k2': 4})
c = parametric_object.ParametersDict({'k3': 5, 'k4': 6})
d = parametric_object.ParametersDict({'k1': 7, 'k4': 8})
r = a - b
self.assertEqual(r['k1'], -2)
self.assertEqual(r['k2'], -2)
with self.assertRaises(TypeError):
r = a - 1
with self.assertRaises(ValueError):
r = a - c
with self.assertRaises(ValueError):
r = a - d
def test_mult_parametric_dict(self):
a = parametric_object.ParametersDict({'k1': 1, 'k2': 2})
b = parametric_object.ParametersDict({'k1': 3, 'k2': 4})
r = a * 0.5
self.assertEqual(r['k1'], int(a['k1']*1/2))
self.assertEqual(r['k2'], int(a['k2']*1/2))
with self.assertRaises(TypeError):
r = a * b
with self.assertRaises(TypeError):
r = 0.5 * b
def test_truediv_parametric_dict(self):
a = parametric_object.ParametersDict({'k1': 1, 'k2': 2})
b = parametric_object.ParametersDict({'k1': 3, 'k2': 4})
r = a // 2
self.assertEqual(r['k1'], int(a['k1'] // 2))
self.assertEqual(r['k2'], int(a['k2'] // 2))
with self.assertRaises(TypeError):
r = a // b
with self.assertRaises(TypeError):
r = 0.5 // b
def test_types_conversion(self):
names = ('first', 'second', 'third')
checks = parametric_object.ParametricMinMaxBounds({
'first': [[0, 255]],
'second': [[0, 255]],
'third': [[0, 255]]})
prop = parametric_object.ParametricProperties(names, checks)
dictionary = {'first': 0, 'second': 3, 'third': 2}
param_dict = parametric_object.ParametersDict(dictionary)
name = prop.get_name(param_dict)
self.assertEqual(name, 'first0_second3_third2')
dictionary = {'first': 0.0, 'second': 0.1, 'third': 2.0}
param_dict = parametric_object.ParametersDict(dictionary)
name = prop.get_name(param_dict)
self.assertEqual(name, 'first0.0_second0.1_third2.0')
dictionary = {'first': 1.0, 'second': 3.0, 'third': 4}
param_dict = parametric_object.ParametersDict(dictionary)
name = prop.get_name(param_dict)
reconstruction = prop.get_dict(name)
self.assertEqual(dictionary, reconstruction)
def test_types_algebra(self):
dictionary = {'first': 0, 'second': 3, 'third': 2}
types = (parametric_object.ParametersTypes.INTEGER,)*3
param_dict = parametric_object.ParametersDict(dictionary, param_types=types)
param_half = param_dict * 1.1
self.assertAlmostEqual(param_half['first'], 0)
self.assertAlmostEqual(param_half['second'], 3)
self.assertAlmostEqual(param_half['third'], 2)
types = (parametric_object.ParametersTypes.FLOAT,)*3
param_dict = parametric_object.ParametersDict(dictionary, param_types=types)
param_half = param_dict * 1.1
self.assertAlmostEqual(param_half['first'], 0)
self.assertAlmostEqual(param_half['second'], 3.3)
self.assertAlmostEqual(param_half['third'], 2.2)
dictionary = {'first': 0, 'second': 3, 'third': 2}
types = (parametric_object.ParametersTypes.INTEGER,)*3
param_dict = parametric_object.ParametersDict(dictionary, param_types=types)
param_half = param_dict / 3
self.assertAlmostEqual(param_half['first'], 0)
self.assertAlmostEqual(param_half['second'], int(3/3))
self.assertAlmostEqual(param_half['third'], int(2/3))
types = (parametric_object.ParametersTypes.FLOAT,)*3
param_dict = parametric_object.ParametersDict(dictionary, param_types=types)
param_half = param_dict / 3
self.assertAlmostEqual(param_half['first'], 0)
self.assertAlmostEqual(param_half['second'], float(3/3))
self.assertAlmostEqual(param_half['third'], float(2/3))
if __name__ == '__main__':
absltest.main()
| 41.636667
| 80
| 0.629173
| 1,558
| 12,491
| 4.903081
| 0.105905
| 0.134049
| 0.064537
| 0.048959
| 0.807566
| 0.775101
| 0.737138
| 0.693415
| 0.67679
| 0.608195
| 0
| 0.052193
| 0.193179
| 12,491
| 299
| 81
| 41.77592
| 0.705795
| 0.063966
| 0
| 0.558333
| 0
| 0
| 0.081076
| 0.007799
| 0
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| 0.254167
| 1
| 0.045833
| false
| 0
| 0.0125
| 0
| 0.0625
| 0
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| 0
| 0
| null | 0
| 0
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| 1
| 1
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| 0
|
0
| 4
|
ccdea5fc87e2dce7da82287cb335d1d1997b89b2
| 125
|
py
|
Python
|
barbearia/email_config.py
|
FabioMarquesArao/OPE_BARBEARIA
|
867e7d4b67d9d70b6056b2d817cd3d2561ca7131
|
[
"MIT"
] | null | null | null |
barbearia/email_config.py
|
FabioMarquesArao/OPE_BARBEARIA
|
867e7d4b67d9d70b6056b2d817cd3d2561ca7131
|
[
"MIT"
] | null | null | null |
barbearia/email_config.py
|
FabioMarquesArao/OPE_BARBEARIA
|
867e7d4b67d9d70b6056b2d817cd3d2561ca7131
|
[
"MIT"
] | null | null | null |
EMAIL_ADDRESS = 'domfigarobarbearia@gmail.com'
EMAIL_PASSWORD = 'barbeariadomfigaro'
HEROKU_PASSWORD = "Barbeariadomfigaro!"
| 31.25
| 46
| 0.832
| 11
| 125
| 9.181818
| 0.727273
| 0.514851
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072
| 125
| 4
| 47
| 31.25
| 0.87069
| 0
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| 0
| 0.515873
| 0.222222
| 0
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| 0
| 0
| 0
| 1
| 0
| false
| 0.666667
| 0
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| null | 1
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0
| 4
|
ccfb1aaf66833ea1e34ee0d93d00ff4476230fb8
| 4,890
|
py
|
Python
|
tests/test_filesystem_paths.py
|
NinjasCL-archive/masonite-fs
|
333c11d19927f9cf371d12bb87af88b0ca3dd698
|
[
"MIT"
] | 2
|
2018-08-18T01:15:33.000Z
|
2018-08-18T17:28:08.000Z
|
tests/test_filesystem_paths.py
|
NinjasCL-archive/masonite-fs
|
333c11d19927f9cf371d12bb87af88b0ca3dd698
|
[
"MIT"
] | null | null | null |
tests/test_filesystem_paths.py
|
NinjasCL-archive/masonite-fs
|
333c11d19927f9cf371d12bb87af88b0ca3dd698
|
[
"MIT"
] | null | null | null |
# coding: utf-8
from the import expect
from filesystem import paths
from filesystem.paths import root
class TestFilesystemPaths:
def setup_method(self):
pass
def test_that_root_exists(self):
expect(paths.ROOT).to.be.NOT.empty
def test_that_app_is_correct(self):
expect(paths.APP).to.be.eq('/app')
def test_that_app_http_is_correct(self):
expect(paths.APP_HTTP).to.be.eq('/app/http')
def test_that_app_http_controllers_is_correct(self):
expect(paths.APP_HTTP_CONTROLLERS).to.be.eq('/app/http/controllers')
def test_that_app_http_middleware_is_correct(self):
expect(paths.APP_HTTP_MIDDLEWARE).to.be.eq('/app/http/middleware')
def test_that_app_providers_is_correct(self):
expect(paths.APP_PROVIDERS).to.be.eq('/app/providers')
def test_that_bootstrap_is_correct(self):
expect(paths.BOOTSTRAP).to.be.eq('/bootstrap')
def test_that_bootstrap_cache_is_correct(self):
expect(paths.BOOTSTRAP_CACHE).to.be.eq('/bootstrap/cache')
def test_that_config_is_correct(self):
expect(paths.CONFIG).to.be.eq('/config')
def test_that_databases_is_correct(self):
expect(paths.DATABASES).to.be.eq('/databases')
def test_that_databases_migrations_is_correct(self):
expect(paths.DATABASES_MIGRATIONS).to.be.eq('/databases/migrations')
def test_that_resources_is_correct(self):
expect(paths.RESOURCES).to.be.eq('/resources')
def test_that_resources_templates_is_correct(self):
expect(paths.RESOURCES_TEMPLATES).to.be.eq('/resources/templates')
def test_that_resources_snippets_is_correct(self):
expect(paths.RESOURCES_SNIPPETS).to.be.eq('/resources/snippets')
def test_that_routes_is_correct(self):
expect(paths.ROUTES).to.be.eq('/routes')
def test_that_storage_is_correct(self):
expect(paths.STORAGE).to.be.eq('/storage')
def test_that_storage_compiled_is_correct(self):
expect(paths.STORAGE_COMPILED).to.be.eq('/storage/compiled')
def test_that_storage_static_is_correct(self):
expect(paths.STORAGE_STATIC).to.be.eq('/storage/static')
def test_that_storage_uploads_is_correct(self):
expect(paths.STORAGE_UPLOADS).to.be.eq('/storage/uploads')
def test_that_tests_is_correct(self):
expect(paths.TESTS).to.be.eq('/tests')
# root paths
def test_that_root_app_is_correct(self):
expect(root.APP).to.be.eq(paths.ROOT + paths.APP)
def test_that_root_app_http_is_correct(self):
expect(root.APP_HTTP).to.be.eq(paths.ROOT + paths.APP_HTTP)
def test_that_root_app_http_controllers_is_correct(self):
expect(root.APP_HTTP_CONTROLLERS).to.be.eq(paths.ROOT + paths.APP_HTTP_CONTROLLERS)
def test_that_root_app_http_middleware_is_correct(self):
expect(root.APP_HTTP_MIDDLEWARE).to.be.eq(paths.ROOT + paths.APP_HTTP_MIDDLEWARE)
def test_that_root_app_providers_is_correct(self):
expect(root.APP_PROVIDERS).to.be.eq(paths.ROOT + paths.APP_PROVIDERS)
def test_that_root_bootstrap_is_correct(self):
expect(root.BOOTSTRAP).to.be.eq(paths.ROOT + paths.BOOTSTRAP)
def test_that_root_bootstrap_cache_is_correct(self):
expect(root.BOOTSTRAP_CACHE).to.be.eq(paths.ROOT + paths.BOOTSTRAP_CACHE)
def test_that_root_config_is_correct(self):
expect(root.CONFIG).to.be.eq(paths.ROOT + paths.CONFIG)
def test_that_root_databases_is_correct(self):
expect(root.DATABASES).to.be.eq(paths.ROOT + paths.DATABASES)
def test_that_root_databases_migrations_is_correct(self):
expect(root.DATABASES_MIGRATIONS).to.be.eq(paths.ROOT + paths.DATABASES_MIGRATIONS)
def test_that_root_resources_is_correct(self):
expect(root.RESOURCES).to.be.eq(paths.ROOT + paths.RESOURCES)
def test_that_root_resources_templates_is_correct(self):
expect(root.RESOURCES_TEMPLATES).to.be.eq(paths.ROOT + paths.RESOURCES_TEMPLATES)
def test_that_root_resources_snippets_is_correct(self):
expect(root.RESOURCES_SNIPPETS).to.be.eq(paths.ROOT + paths.RESOURCES_SNIPPETS)
def test_that_root_routes_is_correct(self):
expect(root.ROUTES).to.be.eq(paths.ROOT + paths.ROUTES)
def test_that_root_storage_is_correct(self):
expect(root.STORAGE).to.be.eq(paths.ROOT + paths.STORAGE)
def test_that_root_storage_compiled_is_correct(self):
expect(root.STORAGE_COMPILED).to.be.eq(paths.ROOT + paths.STORAGE_COMPILED)
def test_that_root_storage_static_is_correct(self):
expect(root.STORAGE_STATIC).to.be.eq(paths.ROOT + paths.STORAGE_STATIC)
def test_that_root_storage_uploads_is_correct(self):
expect(root.STORAGE_UPLOADS).to.be.eq(paths.ROOT + paths.STORAGE_UPLOADS)
def test_that_root_tests_is_correct(self):
expect(root.TESTS).to.be.eq(paths.ROOT + paths.TESTS)
| 37.045455
| 91
| 0.740082
| 724
| 4,890
| 4.667127
| 0.063536
| 0.080793
| 0.126961
| 0.213673
| 0.872152
| 0.592483
| 0.204498
| 0.023972
| 0
| 0
| 0
| 0.000239
| 0.144581
| 4,890
| 131
| 92
| 37.328244
| 0.807554
| 0.004908
| 0
| 0
| 0
| 0
| 0.051409
| 0.008637
| 0
| 0
| 0
| 0
| 0
| 1
| 0.47619
| false
| 0.011905
| 0.035714
| 0
| 0.52381
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
6913dde4acd202b7bb00fc51376d6dcff16b4ba7
| 100
|
py
|
Python
|
q025.py
|
sjf/project_euler
|
8514710e2018136ba8a087ae58cba35370700f6f
|
[
"MIT"
] | null | null | null |
q025.py
|
sjf/project_euler
|
8514710e2018136ba8a087ae58cba35370700f6f
|
[
"MIT"
] | null | null | null |
q025.py
|
sjf/project_euler
|
8514710e2018136ba8a087ae58cba35370700f6f
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
f=1
fprev=1
n=2
while f < 10**999:
f,fprev = f + fprev,f
n += 1
print(n)
| 11.111111
| 23
| 0.58
| 23
| 100
| 2.521739
| 0.565217
| 0.206897
| 0.241379
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.128205
| 0.22
| 100
| 9
| 24
| 11.111111
| 0.615385
| 0.21
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.142857
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
69157e91f425c2893ef06beb1c157d48d39855f1
| 198
|
py
|
Python
|
docsie_universal_importer/providers/google_cloud_storage/urls.py
|
Zarif99/test-universal
|
062972ed64d9f048de702ab1edf4025cffca2abb
|
[
"BSD-3-Clause"
] | null | null | null |
docsie_universal_importer/providers/google_cloud_storage/urls.py
|
Zarif99/test-universal
|
062972ed64d9f048de702ab1edf4025cffca2abb
|
[
"BSD-3-Clause"
] | null | null | null |
docsie_universal_importer/providers/google_cloud_storage/urls.py
|
Zarif99/test-universal
|
062972ed64d9f048de702ab1edf4025cffca2abb
|
[
"BSD-3-Clause"
] | null | null | null |
from docsie_universal_importer.providers.base.urls import default_urlpatterns
from .import_provider import GoogleCloudStorageProvider
urlpatterns = default_urlpatterns(GoogleCloudStorageProvider)
| 33
| 77
| 0.89899
| 19
| 198
| 9.105263
| 0.631579
| 0.208092
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.065657
| 198
| 5
| 78
| 39.6
| 0.935135
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
691961c351775c6d1643e0e7e934a4b430e01308
| 35
|
py
|
Python
|
tests/__init__.py
|
anrputina/oadds
|
f2e058f48a9edfbdd9ee7229b4f303cdd4543190
|
[
"MIT"
] | 5
|
2020-12-25T19:38:32.000Z
|
2021-06-12T20:39:05.000Z
|
tests/__init__.py
|
anrputina/ods-anomalydetection
|
f2e058f48a9edfbdd9ee7229b4f303cdd4543190
|
[
"MIT"
] | 63
|
2020-08-04T12:08:09.000Z
|
2020-10-09T12:08:09.000Z
|
tests/__init__.py
|
anrputina/ods-anomalydetection
|
f2e058f48a9edfbdd9ee7229b4f303cdd4543190
|
[
"MIT"
] | null | null | null |
"""Unit test package for oadds."""
| 17.5
| 34
| 0.657143
| 5
| 35
| 4.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 35
| 1
| 35
| 35
| 0.766667
| 0.8
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
15c48e2d345be8eb45daabb4d97935eaab12b990
| 17,156
|
py
|
Python
|
tests/commons/big_query/copy_job_async/copy_job/test_copy_job_service.py
|
Morgenz/bbq
|
f0fd3f626841c610aee80ad08a61123b7cccb775
|
[
"Apache-2.0"
] | 41
|
2018-05-08T11:54:37.000Z
|
2022-02-09T21:19:17.000Z
|
tests/commons/big_query/copy_job_async/copy_job/test_copy_job_service.py
|
Morgenz/bbq
|
f0fd3f626841c610aee80ad08a61123b7cccb775
|
[
"Apache-2.0"
] | 139
|
2018-06-07T13:45:21.000Z
|
2021-04-30T20:44:06.000Z
|
tests/commons/big_query/copy_job_async/copy_job/test_copy_job_service.py
|
Morgenz/bbq
|
f0fd3f626841c610aee80ad08a61123b7cccb775
|
[
"Apache-2.0"
] | 5
|
2019-09-11T12:28:24.000Z
|
2022-02-04T21:38:29.000Z
|
import unittest
from apiclient.errors import HttpError
from google.appengine.ext import testbed, ndb
from mock import patch, Mock
from src.commons.big_query.copy_job_async.copy_job.copy_job_request \
import CopyJobRequest
from src.commons.big_query.copy_job_async.copy_job.copy_job_service \
import CopyJobService
from src.commons.big_query.copy_job_async.post_copy_action_request import \
PostCopyActionRequest
from src.commons.big_query.copy_job_async.result_check.result_check_request \
import ResultCheckRequest
from src.commons.big_query.copy_job_async.task_creator import TaskCreator
from src.commons.big_query.big_query import BigQuery
from src.commons.big_query.big_query_job_reference import BigQueryJobReference
from src.commons.big_query.big_query_table import BigQueryTable
class TestCopyJobService(unittest.TestCase):
def setUp(self):
self.testbed = testbed.Testbed()
self.testbed.activate()
ndb.get_context().clear_cache()
patch('googleapiclient.discovery.build').start()
patch(
'oauth2client.client.GoogleCredentials.get_application_default') \
.start()
self._create_http = patch.object(BigQuery, '_create_http').start()
self.example_source_bq_table = BigQueryTable('source_project_id_1',
'source_dataset_id_1',
'source_table_id_1')
self.example_target_bq_table = BigQueryTable('target_project_id_1',
'target_dataset_id_1',
'target_table_id_1')
def tearDown(self):
patch.stopall()
self.testbed.deactivate()
@patch.object(BigQuery, 'insert_job',
return_value=BigQueryJobReference(
project_id='test_project',
job_id='job123',
location='EU'))
@patch.object(TaskCreator, 'create_copy_job_result_check')
def test_that_post_copy_action_request_is_passed(
self, create_copy_job_result_check, _):
# given
post_copy_action_request = \
PostCopyActionRequest(url='/my/url', data={'key1': 'value1'})
# when
CopyJobService().run_copy_job_request(
CopyJobRequest(
task_name_suffix='task_name_suffix',
copy_job_type_id='test-process',
source_big_query_table=self.example_source_bq_table,
target_big_query_table=self.example_target_bq_table,
create_disposition="CREATE_IF_NEEDED",
write_disposition="WRITE_EMPTY",
retry_count=0,
post_copy_action_request=post_copy_action_request
)
)
# then
create_copy_job_result_check.assert_called_once_with(
ResultCheckRequest(
task_name_suffix='task_name_suffix',
copy_job_type_id='test-process',
job_reference=BigQueryJobReference(
project_id='test_project',
job_id='job123',
location='EU'),
retry_count=0,
post_copy_action_request=post_copy_action_request
)
)
@patch.object(BigQuery, 'insert_job',
return_value=BigQueryJobReference(
project_id='test_project',
job_id='job123',
location='EU'))
@patch.object(TaskCreator, 'create_copy_job_result_check')
def test_that_create_and_write_disposition_are_passed_to_result_check(
self, create_copy_job_result_check, _):
# given
create_disposition = "SOME_CREATE_DISPOSITION"
write_disposition = "SOME_WRITE_DISPOSITION"
# when
CopyJobService().run_copy_job_request(
CopyJobRequest(
task_name_suffix='task_name_suffix',
copy_job_type_id='test-process',
source_big_query_table=self.example_source_bq_table,
target_big_query_table=self.example_target_bq_table,
create_disposition=create_disposition,
write_disposition=write_disposition,
retry_count=0,
post_copy_action_request=None
)
)
# then
create_copy_job_result_check.assert_called_once_with(
ResultCheckRequest(
task_name_suffix='task_name_suffix',
copy_job_type_id='test-process',
job_reference=BigQueryJobReference(
project_id='test_project',
job_id='job123',
location='EU'),
retry_count=0,
post_copy_action_request=None
)
)
@patch.object(BigQuery, 'insert_job')
@patch('time.sleep', side_effect=lambda _: None)
def test_that_copy_table_should_throw_error_after_exception_not_being_http_error_thrown_on_copy_job_creation(
self, _, insert_job):
# given
error_message = 'test exception'
insert_job.side_effect = Exception(error_message)
request = CopyJobRequest(
task_name_suffix=None,
copy_job_type_id=None,
source_big_query_table=self.example_source_bq_table,
target_big_query_table=self.example_target_bq_table,
create_disposition="CREATE_IF_NEEDED",
write_disposition="WRITE_EMPTY"
)
# when
with self.assertRaises(Exception) as context:
CopyJobService().run_copy_job_request(request)
# then
self.assertTrue(error_message in context.exception)
@patch.object(BigQuery, 'insert_job')
@patch('time.sleep', side_effect=lambda _: None)
def test_that_copy_table_should_throw_unhandled_errors(self, _, insert_job):
# given
exception = HttpError(Mock(status=500), 'internal error')
exception._get_reason = Mock(return_value='internal error')
insert_job.side_effect = exception
request = CopyJobRequest(
task_name_suffix=None,
copy_job_type_id=None,
source_big_query_table=self.example_source_bq_table,
target_big_query_table=self.example_target_bq_table,
create_disposition="CREATE_IF_NEEDED",
write_disposition="WRITE_EMPTY"
)
# when
with self.assertRaises(HttpError) as context:
CopyJobService().run_copy_job_request(request)
# then
self.assertEqual(context.exception, exception)
@patch.object(BigQuery, 'insert_job')
@patch.object(TaskCreator, 'create_post_copy_action')
def test_that_copy_table_should_create_correct_post_copy_action_if_404_http_error_thrown_on_copy_job_creation(
self, create_post_copy_action, insert_job):
# given
error = HttpError(Mock(status=404), 'not found')
error._get_reason = Mock(return_value='not found')
insert_job.side_effect = error
post_copy_action_request = PostCopyActionRequest(url='/my/url', data={'key1': 'value1'})
request = CopyJobRequest(
task_name_suffix='task_name_suffix',
copy_job_type_id='test-process',
source_big_query_table=self.example_source_bq_table,
target_big_query_table=self.example_target_bq_table,
create_disposition="CREATE_IF_NEEDED",
write_disposition="WRITE_EMPTY",
retry_count=0,
post_copy_action_request=post_copy_action_request
)
# when
CopyJobService().run_copy_job_request(request)
# then
create_post_copy_action.assert_called_once_with(
copy_job_type_id='test-process',
post_copy_action_request=post_copy_action_request,
job_json={
'status': {
'state': 'DONE',
'errors': [
{
'reason': 'Invalid',
'message': (
"404 while creating Copy Job from {} to {}".format(
self.example_source_bq_table, self.example_target_bq_table))
}
]
},
'configuration': {
'copy': {
'sourceTable': {
'projectId': self.example_source_bq_table.get_project_id(),
'tableId': self.example_source_bq_table.get_table_id(),
'datasetId': self.example_source_bq_table.get_dataset_id()
},
'destinationTable': {
'projectId': self.example_target_bq_table.get_project_id(),
'tableId': self.example_target_bq_table.get_table_id(),
'datasetId': self.example_target_bq_table.get_dataset_id()
}
}
}
}
)
@patch.object(BigQuery, 'insert_job')
@patch.object(TaskCreator, 'create_post_copy_action')
def test_that_copy_table_should_create_correct_post_copy_action_if_access_denied_http_error_thrown_on_copy_job_creation(
self, create_post_copy_action, insert_job):
# given
http_error_content = "{\"error\": " \
" {\"errors\": [" \
" {\"reason\": \"Access Denied\"," \
" \"message\": \"Access Denied\"," \
" \"location\": \"US\"" \
" }]," \
" \"code\": 403," \
" \"message\": \"Access Denied\"}}"
insert_job.side_effect = HttpError(Mock(status=403), http_error_content)
post_copy_action_request = PostCopyActionRequest(url='/my/url', data={
'key1': 'value1'})
request = CopyJobRequest(
task_name_suffix='task_name_suffix',
copy_job_type_id='test-process',
source_big_query_table=self.example_source_bq_table,
target_big_query_table=self.example_target_bq_table,
create_disposition="CREATE_IF_NEEDED",
write_disposition="WRITE_EMPTY",
retry_count=0,
post_copy_action_request=post_copy_action_request
)
# when
CopyJobService().run_copy_job_request(request)
# then
create_post_copy_action.assert_called_once_with(
copy_job_type_id='test-process',
post_copy_action_request=post_copy_action_request,
job_json={
'status': {
'state': 'DONE',
'errors': [
{
'reason': 'Invalid',
'message': (
"Access Denied while creating Copy Job from {} to {}".format(
self.example_source_bq_table, self.example_target_bq_table))
}
]
},
'configuration': {
'copy': {
'sourceTable': {
'projectId': self.example_source_bq_table.get_project_id(),
'tableId': self.example_source_bq_table.get_table_id(),
'datasetId': self.example_source_bq_table.get_dataset_id()
},
'destinationTable': {
'projectId': self.example_target_bq_table.get_project_id(),
'tableId': self.example_target_bq_table.get_table_id(),
'datasetId': self.example_target_bq_table.get_dataset_id()
}
}
}
}
)
@patch.object(BigQuery, 'get_job')
@patch.object(BigQuery, 'insert_job')
@patch.object(TaskCreator, 'create_copy_job_result_check')
def test_that_copy_table_will_try_to_wait_if_deadline_exceeded(
self, create_copy_job_result_check, insert_job, get_job):
# given
http_error_content = "{\"error\": " \
" {\"errors\": [" \
" {\"reason\": \"Deadline exceeded\"," \
" \"message\": \"Deadline exceeded\"," \
" \"location\": \"US\"" \
" }]," \
" \"code\": 500," \
" \"message\": \"Deadline exceeded\"}}"
successful_job_json = {
'status': {
'state': 'DONE'
},
'jobReference': {
'projectId': self.example_target_bq_table.get_project_id(),
'location': 'EU',
'jobId': 'job123',
},
'configuration': {
'copy': {
'sourceTable': {
'projectId': self.example_source_bq_table.get_project_id(),
'tableId': self.example_source_bq_table.get_table_id(),
'datasetId': self.example_source_bq_table.get_dataset_id()
},
'destinationTable': {
'projectId': self.example_target_bq_table.get_project_id(),
'tableId': self.example_target_bq_table.get_table_id(),
'datasetId': self.example_target_bq_table.get_dataset_id()
}
}
}
}
insert_job.side_effect = HttpError(Mock(status=500), http_error_content)
get_job.return_value = successful_job_json
request = CopyJobRequest(
task_name_suffix='task_name_suffix',
copy_job_type_id='test-process',
source_big_query_table=self.example_source_bq_table,
target_big_query_table=self.example_target_bq_table,
create_disposition="CREATE_IF_NEEDED",
write_disposition="WRITE_EMPTY",
retry_count=0,
post_copy_action_request=None
)
# when
CopyJobService().run_copy_job_request(request)
# then
create_copy_job_result_check.assert_called_once_with(
ResultCheckRequest(
task_name_suffix='task_name_suffix',
copy_job_type_id='test-process',
job_reference=BigQueryJobReference(
project_id=self.example_target_bq_table.get_project_id(),
job_id='job123',
location='EU'
),
retry_count=0,
post_copy_action_request=None
)
)
@patch('src.commons.big_query.big_query_table_metadata.BigQueryTableMetadata')
@patch.object(TaskCreator, 'create_copy_job_result_check')
@patch.object(CopyJobService, '_create_random_job_id',
return_value='random_job_123')
@patch.object(BigQuery, 'insert_job',
side_effect=[HttpError(Mock(status=503), 'internal error'),
HttpError(Mock(status=409), 'job exists')])
@patch('time.sleep', side_effect=lambda _: None)
def test_bug_regression_job_already_exists_after_internal_error(
self, _, insert_job, _create_random_job_id,
create_copy_job_result_check, table_metadata
):
# given
post_copy_action_request = \
PostCopyActionRequest(url='/my/url', data={'key1': 'value1'})
table_metadata._BigQueryTableMetadata__get_table_or_partition.return_value.get_location.return_value='EU'
# when
CopyJobService().run_copy_job_request(
CopyJobRequest(
task_name_suffix='task_name_suffix',
copy_job_type_id='test-process',
source_big_query_table=self.example_source_bq_table,
target_big_query_table=self.example_target_bq_table,
create_disposition="CREATE_IF_NEEDED",
write_disposition="WRITE_EMPTY",
retry_count=0,
post_copy_action_request=post_copy_action_request
)
)
# then
self.assertEqual(insert_job.call_count, 2)
create_copy_job_result_check.assert_called_once_with(
ResultCheckRequest(
task_name_suffix='task_name_suffix',
copy_job_type_id='test-process',
job_reference=BigQueryJobReference(
project_id='target_project_id_1',
job_id='random_job_123',
location='EU'),
retry_count=0,
post_copy_action_request=post_copy_action_request
)
)
| 42.152334
| 124
| 0.570354
| 1,684
| 17,156
| 5.328385
| 0.108076
| 0.037446
| 0.053048
| 0.060849
| 0.772206
| 0.747019
| 0.743898
| 0.708347
| 0.671124
| 0.654519
| 0
| 0.007199
| 0.344136
| 17,156
| 406
| 125
| 42.256158
| 0.79026
| 0.007403
| 0
| 0.585014
| 0
| 0
| 0.120214
| 0.022584
| 0
| 0
| 0
| 0
| 0.0317
| 1
| 0.028818
| false
| 0.005764
| 0.034582
| 0
| 0.066282
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
15caae15c5cee5107dd04fd63976ca50c1febedb
| 79
|
py
|
Python
|
braandket/kernel/__init__.py
|
ZhengKeli/BraAndKet
|
f47cdbdb4c5040dd071815378138ac376c205f14
|
[
"MIT"
] | 1
|
2022-01-13T13:18:41.000Z
|
2022-01-13T13:18:41.000Z
|
braandket/kernel/__init__.py
|
ZhengKeli/BraAndKet
|
f47cdbdb4c5040dd071815378138ac376c205f14
|
[
"MIT"
] | null | null | null |
braandket/kernel/__init__.py
|
ZhengKeli/BraAndKet
|
f47cdbdb4c5040dd071815378138ac376c205f14
|
[
"MIT"
] | 2
|
2020-11-06T20:16:13.000Z
|
2020-12-01T12:56:03.000Z
|
from .abstract import Kernel
from .auto import AutoKernel
from .numpy import *
| 19.75
| 28
| 0.797468
| 11
| 79
| 5.727273
| 0.636364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.151899
| 79
| 3
| 29
| 26.333333
| 0.940299
| 0
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| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
15fe23beb9c7568305a1094a355c8b8ff59b537e
| 294
|
py
|
Python
|
arc/setupc.py
|
m-schleier/ARC-Alkali-Rydberg-Calculator
|
eabba3bc9ac2e37ba3a8dbba18d39771dcbbb9fd
|
[
"BSD-3-Clause"
] | 53
|
2016-12-13T11:57:07.000Z
|
2022-03-23T20:25:36.000Z
|
arc/setupc.py
|
m-schleier/ARC-Alkali-Rydberg-Calculator
|
eabba3bc9ac2e37ba3a8dbba18d39771dcbbb9fd
|
[
"BSD-3-Clause"
] | 78
|
2016-12-21T11:56:03.000Z
|
2022-03-15T21:01:30.000Z
|
arc/setupc.py
|
m-schleier/ARC-Alkali-Rydberg-Calculator
|
eabba3bc9ac2e37ba3a8dbba18d39771dcbbb9fd
|
[
"BSD-3-Clause"
] | 39
|
2016-12-20T07:17:50.000Z
|
2022-03-02T17:27:44.000Z
|
from distutils.core import setup, Extension
from numpy.distutils.misc_util import get_numpy_include_dirs
setup(ext_modules=[Extension("arc_c_extensions", ["arc_c_extensions.c"],
extra_compile_args = ['-Wall', '-O3'],
include_dirs=get_numpy_include_dirs())])
| 42
| 72
| 0.707483
| 38
| 294
| 5.078947
| 0.578947
| 0.170984
| 0.15544
| 0.196891
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004132
| 0.176871
| 294
| 6
| 73
| 49
| 0.793388
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 0
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| 0
| null | 0
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
c62dbdcf249b0771af08bd01ce1cb984ad5302f1
| 81
|
py
|
Python
|
Dog_model/Dog/apps.py
|
cs-fullstack-2019-fall/django-models-cw-Deltonjr2
|
3fc667bed19201b75016798bd367d0bde9cb6c00
|
[
"Apache-2.0"
] | null | null | null |
Dog_model/Dog/apps.py
|
cs-fullstack-2019-fall/django-models-cw-Deltonjr2
|
3fc667bed19201b75016798bd367d0bde9cb6c00
|
[
"Apache-2.0"
] | null | null | null |
Dog_model/Dog/apps.py
|
cs-fullstack-2019-fall/django-models-cw-Deltonjr2
|
3fc667bed19201b75016798bd367d0bde9cb6c00
|
[
"Apache-2.0"
] | null | null | null |
from django.apps import AppConfig
class DogConfig(AppConfig):
name = 'Dog'
| 13.5
| 33
| 0.728395
| 10
| 81
| 5.9
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.185185
| 81
| 5
| 34
| 16.2
| 0.893939
| 0
| 0
| 0
| 0
| 0
| 0.037037
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
c6568e3f6207ae8a99ee488f843417b0e24ee7fa
| 255
|
py
|
Python
|
auth/serializers.py
|
sling254/the-hood
|
ce169abbdc368e1a7e92896abdf8237136456290
|
[
"MIT"
] | null | null | null |
auth/serializers.py
|
sling254/the-hood
|
ce169abbdc368e1a7e92896abdf8237136456290
|
[
"MIT"
] | null | null | null |
auth/serializers.py
|
sling254/the-hood
|
ce169abbdc368e1a7e92896abdf8237136456290
|
[
"MIT"
] | null | null | null |
from rest_framework import serializers
from hood.models import UserProfile
class UserProfileSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = UserProfile
fields = ('bio', 'birth_date','picture','email','picture')
| 36.428571
| 68
| 0.752941
| 25
| 255
| 7.6
| 0.76
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152941
| 255
| 7
| 69
| 36.428571
| 0.87963
| 0
| 0
| 0
| 0
| 0
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
d67252401050d3b5004b1ab15ef96c5d2e1fedcf
| 76
|
py
|
Python
|
tests/app/controller/webhook/github/events/__init__.py
|
angeleneleow/rocket2
|
649f49a94d123e78bfd014189e8fede31fa007f6
|
[
"MIT"
] | null | null | null |
tests/app/controller/webhook/github/events/__init__.py
|
angeleneleow/rocket2
|
649f49a94d123e78bfd014189e8fede31fa007f6
|
[
"MIT"
] | null | null | null |
tests/app/controller/webhook/github/events/__init__.py
|
angeleneleow/rocket2
|
649f49a94d123e78bfd014189e8fede31fa007f6
|
[
"MIT"
] | null | null | null |
"""Contain the tests for the handlers of each supported GitHub webhook."""
| 38
| 75
| 0.75
| 11
| 76
| 5.181818
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 76
| 1
| 76
| 76
| 0.890625
| 0.894737
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d67ed600e6c41963e2d457d2e537a8860f022e80
| 1,292
|
py
|
Python
|
models/base.py
|
IlyaBizyaev/Im2Vec
|
4fff000c84500c6e977c502519497e27e1f946f2
|
[
"Apache-2.0"
] | null | null | null |
models/base.py
|
IlyaBizyaev/Im2Vec
|
4fff000c84500c6e977c502519497e27e1f946f2
|
[
"Apache-2.0"
] | null | null | null |
models/base.py
|
IlyaBizyaev/Im2Vec
|
4fff000c84500c6e977c502519497e27e1f946f2
|
[
"Apache-2.0"
] | null | null | null |
from abc import abstractmethod
from typing import Any, List
import torch
def interpolate_vectors(v1: torch.Tensor, v2: torch.Tensor, n: int) -> torch.Tensor:
step = (v2 - v1) / (n - 1)
return torch.stack([v1 + i * step for i in range(n)], dim=0)
def reparameterize(mu: torch.Tensor, log_var: torch.Tensor) -> torch.Tensor:
"""
Reparameterization trick to sample from N(mu, var) from N(0,1).
:param mu: (Tensor) Mean of the latent Gaussian [B x D]
:param log_var: (Tensor) Standard deviation of the latent Gaussian [B x D]
:return: (Tensor) [B x D]
"""
std = torch.exp(0.5 * log_var)
eps = torch.randn_like(std)
return eps * std + mu
class BaseVAE(torch.nn.Module):
def __init__(self) -> None:
super(BaseVAE, self).__init__()
def encode(self, inp: torch.Tensor) -> (torch.Tensor, torch.Tensor):
raise NotImplementedError
def decode(self, inp: torch.Tensor) -> torch.Tensor:
raise NotImplementedError
def generate(self, x: torch.Tensor, **kwargs) -> torch.Tensor:
raise NotImplementedError
@abstractmethod
def forward(self, *inputs: torch.Tensor) -> List[torch.Tensor]:
pass
@abstractmethod
def loss_function(self, *inputs: Any, **kwargs) -> dict:
pass
| 28.711111
| 84
| 0.648607
| 177
| 1,292
| 4.655367
| 0.40678
| 0.200243
| 0.07767
| 0.106796
| 0.20267
| 0.20267
| 0.17233
| 0
| 0
| 0
| 0
| 0.011
| 0.226006
| 1,292
| 44
| 85
| 29.363636
| 0.813
| 0.170279
| 0
| 0.28
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.32
| false
| 0.08
| 0.12
| 0
| 0.56
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
d6a8edcb5b2dcf22573395513ba3203eee17a175
| 15
|
py
|
Python
|
assist/__init__.py
|
jmlopez-rod/assist
|
6fb1c76dc3b0dc441faa7347285343e2e529651a
|
[
"BSD-2-Clause"
] | 1
|
2015-10-30T23:33:11.000Z
|
2015-10-30T23:33:11.000Z
|
assist/__init__.py
|
jmlopez-rod/assist
|
6fb1c76dc3b0dc441faa7347285343e2e529651a
|
[
"BSD-2-Clause"
] | null | null | null |
assist/__init__.py
|
jmlopez-rod/assist
|
6fb1c76dc3b0dc441faa7347285343e2e529651a
|
[
"BSD-2-Clause"
] | null | null | null |
"""Assist
"""
| 3.75
| 9
| 0.4
| 1
| 15
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 15
| 3
| 10
| 5
| 0.5
| 0.4
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d6cc317a27628be12980edb90d20e0b73593f693
| 205
|
py
|
Python
|
data/copy_license.py
|
dashingsoft/pyarmor-server
|
8ac1995d3a0b4ca4592a2a9fa255a7a420f36bc7
|
[
"MIT"
] | 28
|
2020-07-02T22:12:32.000Z
|
2022-03-30T03:21:34.000Z
|
data/copy_license.py
|
dashingsoft/pyarmor-server
|
8ac1995d3a0b4ca4592a2a9fa255a7a420f36bc7
|
[
"MIT"
] | 3
|
2020-03-09T09:43:48.000Z
|
2020-10-19T05:23:37.000Z
|
data/copy_license.py
|
dashingsoft/pyarmor-server
|
8ac1995d3a0b4ca4592a2a9fa255a7a420f36bc7
|
[
"MIT"
] | 13
|
2020-04-27T13:31:00.000Z
|
2022-01-16T05:49:06.000Z
|
import sys
from os.path import join, dirname
with open(join(dirname(sys.executable), 'license.lic'), 'rb') as fs:
with open(join(sys._MEIPASS, 'license.lic'), 'wb') as fd:
fd.write(fs.read())
| 29.285714
| 68
| 0.663415
| 33
| 205
| 4.090909
| 0.606061
| 0.162963
| 0.177778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.160976
| 205
| 6
| 69
| 34.166667
| 0.784884
| 0
| 0
| 0
| 0
| 0
| 0.127451
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.2
| 0.4
| 0
| 0.4
| 0
| 0
| 0
| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 4
|
d6e578f9bf5ed9349829616902ed52c6a3a8e2e9
| 177
|
py
|
Python
|
get_version.py
|
sbacchio/tuneit
|
8d4771acbb56e07336e2aae66160a1f62777cb01
|
[
"BSD-3-Clause"
] | null | null | null |
get_version.py
|
sbacchio/tuneit
|
8d4771acbb56e07336e2aae66160a1f62777cb01
|
[
"BSD-3-Clause"
] | null | null | null |
get_version.py
|
sbacchio/tuneit
|
8d4771acbb56e07336e2aae66160a1f62777cb01
|
[
"BSD-3-Clause"
] | null | null | null |
"Usage: python -m get_version ./setup.py"
import setuptools
import sys
setuptools.setup = lambda *args, version=None, **kwargs: print(version)
exec(open(sys.argv[1]).read())
| 19.666667
| 71
| 0.728814
| 26
| 177
| 4.923077
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006369
| 0.112994
| 177
| 8
| 72
| 22.125
| 0.808917
| 0.220339
| 0
| 0
| 0
| 0
| 0.220339
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 0.2
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
ba74d6985832776a9d24326b66b17b4e74388e84
| 10,385
|
py
|
Python
|
tests/reports/test_controls_reporter.py
|
FoxoTech/methylcheck
|
881d14d78e6086aab184716e0b79cdf87e9be8bf
|
[
"MIT"
] | 2
|
2019-10-13T21:42:14.000Z
|
2019-10-16T19:08:49.000Z
|
tests/reports/test_controls_reporter.py
|
FoxoTech/methylcheck
|
881d14d78e6086aab184716e0b79cdf87e9be8bf
|
[
"MIT"
] | 11
|
2021-04-08T16:14:54.000Z
|
2022-03-09T00:22:13.000Z
|
tests/reports/test_controls_reporter.py
|
LifeEGX/methQC
|
2b4f960e7e5c7baca9dc778ca05ee332e2f27653
|
[
"MIT"
] | 1
|
2020-01-09T14:26:02.000Z
|
2020-01-09T14:26:02.000Z
|
from pathlib import Path
import pandas as pd
import numpy as np
import logging
#patching
import unittest
try:
# python 3.4+ should use builtin unittest.mock not mock package
from unittest.mock import patch
except ImportError:
from mock import patch
#app
import methylcheck
import methylprep
TESTPATH = 'tests'
PROCESSED_450K = Path('docs/example_data/GSE69852')
PROCESSED_MOUSE = Path('docs/example_data/mouse_test')
PROCESSED_EPIC = Path('docs/example_data/epic')
class TestControlsReporter450K():
r450 = methylcheck.reports.ControlsReporter(PROCESSED_450K)
r450.process()
r450.save()
def test_r450(self):
""" 450k is tested multiple ways, so best to rerun here"""
expected_outfile = 'GSE69852_QC_Report.xlsx'
if not Path(PROCESSED_450K, expected_outfile).exists():
raise FileNotFoundError(f"QC Report file missing for folder: {PROCESSED_450K}")
results = pd.read_excel(Path(PROCESSED_450K, expected_outfile))
if results.shape != (7,31):
raise AssertionError(f"Result file shape differs: {results.shape} vs (7,31)")
#if not results['Result'].equals(pd.Series([float("NaN"), 'OK (0.96)', 'OK (0.98)', 'OK (0.97)', 'OK (0.98)', 'OK (0.97)', 'OK (0.97)'])): # pre version 0.8.1
if not results['Result'].equals(pd.Series([float("NaN"), 'OK', 'OK', 'OK', 'OK', 'OK', 'OK'])): # v > 0.8.1
raise AssertionError(f"Values in result column differ: {results['Result'].values}")
class TestControlsReporterEpic(): #unittest.TestCase):
epic = methylcheck.reports.ControlsReporter(PROCESSED_EPIC)
epic.process()
epic.save()
def test_epic(self):
expected_outfile = 'epic_QC_Report.xlsx'
if not Path(PROCESSED_EPIC, expected_outfile).exists():
raise FileNotFoundError(f"QC Report file missing for folder: {PROCESSED_EPIC}")
results = pd.read_excel(Path(PROCESSED_EPIC, expected_outfile))
if results.shape != (2,30):
raise AssertionError(f"Result file shape differs: {results.shape} vs (2,30)")
if not list(results.iloc[1].values) == ['202908430131_R07C01', 0.29, 70.18, 45.5, 41.57, 15.44, 1.78, 1.88, 8.07, 7.22, 12.42, 4.67, 7.07, 2.49, 6.13, 2.83, 7.67, 5.25, 19.46, 6.07, 9.18, 15.88, 495, 1700, 404, 354, 0.89, 0.87, 99.5, 'OK']:
print('actual:', results.iloc[1].values)
raise AssertionError(f"Values in result column differ: {list(results.iloc[1].values)}")
if Path(PROCESSED_EPIC,expected_outfile).exists():
Path(PROCESSED_EPIC,expected_outfile).unlink()
# next, hide the poobah and run without it
Path(PROCESSED_EPIC,'poobah_values.pkl').rename(Path(PROCESSED_EPIC,'_poobah_values.pkl'))
try:
epic = methylcheck.reports.ControlsReporter(PROCESSED_EPIC, pval=False)
epic.process()
epic.save()
results = pd.read_excel(Path(PROCESSED_EPIC, expected_outfile))
if results.shape != (2,29):
raise AssertionError(f"Result file shape differs: {results.shape} vs (2,29)")
if not list(results.iloc[1].values) == ['202908430131_R07C01', 0.29, 70.18, 45.5, 41.57, 15.44, 1.78, 1.88, 8.07, 7.22, 12.42, 4.67, 7.07, 2.49, 6.13, 2.83, 7.67, 5.25, 19.46, 6.07, 9.18, 15.88, 495, 1700, 404, 354, 0.89, 0.87, 'OK (0.98)']:
raise AssertionError(f"Values in result column differ: {list(results.iloc[1].values)}")
if Path(PROCESSED_EPIC,expected_outfile).exists():
Path(PROCESSED_EPIC,expected_outfile).unlink()
# UNhide the poobah
Path(PROCESSED_EPIC,'_poobah_values.pkl').rename(Path(PROCESSED_EPIC,'poobah_values.pkl'))
except:
Path(PROCESSED_EPIC,'_poobah_values.pkl').rename(Path(PROCESSED_EPIC,'poobah_values.pkl'))
def test_controls_report_minimal():
expected_outfile = 'GSE69852_QC_Report.xlsx'
if Path(PROCESSED_450K,expected_outfile).exists():
Path(PROCESSED_450K,expected_outfile).unlink()
methylcheck.controls_report(filepath=PROCESSED_450K)
if not Path(PROCESSED_450K,expected_outfile).exists():
raise FileNotFoundError(f"QC Report file missing for folder: {PROCESSED_450K}")
def test_controls_report_kwargs_legacy():
expected_outfile = 'GSE69852_QC_Report.xlsx'
if Path(PROCESSED_450K,expected_outfile).exists():
Path(PROCESSED_450K,expected_outfile).unlink()
methylcheck.controls_report(filepath=PROCESSED_450K, legacy=True)
if not Path(PROCESSED_450K,expected_outfile).exists():
raise FileNotFoundError(f"QC Report file missing for folder: {PROCESSED_450K} --legacy")
results = pd.read_excel(Path(PROCESSED_450K, expected_outfile))
if results.shape != (6,24):
raise AssertionError(f"Result file shape differs: {results.shape} vs (1,24)")
if not all(np.round(list(results.iloc[0].values)[3:],2) == [0.1,62.8,99.5,51.8,10.9,1.7,1.9,8.4,5.9,20,5.4,7.8,5.9,5.5,3,13,5.9,13.2,7.4,10.5,14.9]):
raise AssertionError(f"--legacy: Calculated Numbers don't match those stored in test: returned {list(results.iloc[0].values)[3:]}")
def test_controls_report_kwargs_colorblind_bg_offset():
roundoff = 3
expected_outfile = 'GSE69852_QC_Report.xlsx'
if Path(PROCESSED_450K,expected_outfile).exists():
Path(PROCESSED_450K,expected_outfile).unlink()
methylcheck.controls_report(filepath=PROCESSED_450K, legacy=False, colorblind=True, outfilepath=PROCESSED_450K,
bg_offset=0, roundoff=roundoff, passing=0.5)
if not Path(PROCESSED_450K,expected_outfile).exists():
raise FileNotFoundError(f"QC Report file missing for folder: {PROCESSED_450K}")
results = pd.read_excel(Path(PROCESSED_450K, expected_outfile))
# pandas 1.3x screws up the rounding in report. can't fix it easily (on 2021-09-27)
test = [i if isinstance(i,str) else round(i,roundoff) for i in list(results.iloc[1].values)]
if not test == ['9247377093_R02C01', 0.671, 62.828, 99.465, 51.829, 10.852, 1.66, 1.894, 1.017, 0.716, 19.967, 0.66, 7.776, 1.97, 5.472, 0.361, 12.982, 5.929, 13.166, 0.902, 10.483, 14.944, 414, 1511, 294, 204, 0.85, 0.88, 99.8, 'M', 'MARGINAL (0.66)', 'Target Removal Green 2, Bisulfite Conversion I Green bkg/U, Bisulfite Conversion II bkg/Green, Specificity II Bkg']:
# pre v0.7.3 --> #['9247377093_R02C01', 0.671, 62.84, 99.475, 51.826, 10.854, 1.661, 1.894, 1.017, 0.716, 19.962, 0.66, 7.776, 1.97, 5.47, 0.361, 12.98, 5.932, 13.168, 0.902, 10.483, 14.944, 414, 1511, 294, 204, 0.85, 0.88, 99.6, 'M', 'OK (0.76)']:
# v0.8.1 'OK (0.76)' became 'MARGINAL (0.66)'
raise AssertionError(f"--colorblind, outfilepath, bg_offset=0, roundoff=3, passing=0.5: Calculated Numbers don't match those stored in test: returned {list(results.iloc[1].values)}")
def test_controls_report_kwargs_no_pval():
roundoff = 2
expected_outfile = 'GSE69852_QC_Report.xlsx'
if Path(PROCESSED_450K,expected_outfile).exists():
Path(PROCESSED_450K,expected_outfile).unlink()
methylcheck.controls_report(filepath=PROCESSED_450K, pval=False)
if not Path(PROCESSED_450K,expected_outfile).exists():
raise FileNotFoundError(f"QC Report file missing for folder: {PROCESSED_450K}")
results = pd.read_excel(Path(PROCESSED_450K, expected_outfile))
test = [i if isinstance(i,str) else round(i,roundoff) for i in list(results.iloc[1].values)]
if not test == ['9247377093_R02C01', 0.08, 62.83, 99.46, 51.83, 10.85, 1.66, 1.89, 8.39, 5.91, 19.97, 5.44, 7.78, 5.88, 5.47, 2.97, 12.98, 5.93, 13.17, 7.44, 10.48, 14.94, 414, 1511, 294, 204, 0.85, 0.88, 'M', 'OK']:
# pre v0.7.3 --> #['9247377093_R02C01', 0.08, 62.84, 99.47, 51.83, 10.85, 1.66, 1.89, 8.39, 5.91, 19.96, 5.44, 7.78, 5.88, 5.47, 2.97, 12.98, 5.93, 13.17, 7.44, 10.48, 14.94, 414, 1511, 294, 204, 0.85, 0.88, 'M', 'OK (0.96)']:
# v0.8.1 'OK (0.96)' became 'OK'
raise AssertionError(f"--pval=False: Calculated Numbers don't match those stored in test: returned {list(results.iloc[1].values)}")
def test_controls_report_kwargs_pval_sig():
#methylprep.run_pipeline(PROCESSED_450K, save_control=True, poobah=True, export_poobah=True)
roundoff = 2
expected_outfile = 'GSE69852_QC_Report.xlsx'
if Path(PROCESSED_450K,expected_outfile).exists():
Path(PROCESSED_450K,expected_outfile).unlink()
methylcheck.controls_report(filepath=PROCESSED_450K, pval=True, pval_sig=0.001)
if not Path(PROCESSED_450K,expected_outfile).exists():
raise FileNotFoundError(f"QC Report file missing for folder: {PROCESSED_450K}")
results = pd.read_excel(Path(PROCESSED_450K, expected_outfile))
test = [i if isinstance(i,str) else round(i,roundoff) for i in list(results.iloc[1].values)]
if not test == ['9247377093_R02C01', 0.08, 62.83, 99.46, 51.83, 10.85, 1.66, 1.89, 8.39, 5.91, 19.97, 5.44, 7.78, 5.88, 5.47, 2.97, 12.98, 5.93, 13.17, 7.44, 10.48, 14.94, 414, 1511, 294, 204, 0.85, 0.88, 85.2, 'M', 'OK']:
# version v0.7.5 --> ['9247377093_R02C01', 0.08, 62.83, 99.46, 51.83, 10.85, 1.66, 1.89, 8.39, 5.91, 19.97, 5.44, 7.78, 5.88, 5.47, 2.97, 12.98, 5.93, 13.17, 7.44, 10.48, 14.94, 414, 1511, 294, 204, 0.85, 0.88, 85.2, 'M', 'OK (0.96)']:
# this works locally --> ['9247377093_R02C01', 0.08, 62.83, 99.46, 51.83, 10.85, 1.66, 1.89, 8.39, 5.91, 19.97, 5.44, 7.78, 5.88, 5.47, 2.97, 12.98, 5.93, 13.17, 7.44, 10.48, 14.94, 414, 1511, 294, 204, 0.85, 0.88, 69.1, 'M', 'FAIL (pval)']
# pre v0.7.3 --> ['9247377093_R02C01', 0.08, 62.84, 99.47, 51.83, 10.85, 1.66, 1.89, 8.39, 5.91, 19.96, 5.44, 7.78, 5.88, 5.47, 2.97, 12.98, 5.93, 13.17, 7.44, 10.48, 14.94, 414, 1511, 294, 204, 0.85, 0.88, 40.8, 'M', 'FAIL (pval)']:
# on circlci I get --> ['9247377093_R02C01', 0.08, 62.83, 99.46, 51.83, 10.85, 1.66, 1.89, 8.39, 5.91, 19.97, 5.44, 7.78, 5.88, 5.47, 2.97, 12.98, 5.93, 13.17, 7.44, 10.48, 14.94, 414, 1511, 294, 204, 0.85, 0.88, 85.2, 'M', 'OK (0.96)']
# v0.8.1 'OK (0.96)' became 'OK'
raise AssertionError(f"--pval=True pval_sig=0.001: Calculated Numbers don't match those stored in test: return {list(results.iloc[1].values)}")
if Path(PROCESSED_450K,expected_outfile).exists():
Path(PROCESSED_450K,expected_outfile).unlink()
| 68.774834
| 375
| 0.658739
| 1,716
| 10,385
| 3.884615
| 0.156177
| 0.074107
| 0.058656
| 0.086259
| 0.765077
| 0.752925
| 0.727873
| 0.707021
| 0.693369
| 0.686919
| 0
| 0.184053
| 0.177564
| 10,385
| 150
| 376
| 69.233333
| 0.596417
| 0.20674
| 0
| 0.470085
| 0
| 0.042735
| 0.225213
| 0.051644
| 0
| 0
| 0
| 0
| 0.094017
| 1
| 0.059829
| false
| 0.017094
| 0.08547
| 0
| 0.179487
| 0.008547
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
baaba6a98acb8b308d5a161ba06afe454b488903
| 93
|
py
|
Python
|
tests/conftest.py
|
Andy-Wilkinson/ChemMLToolk
|
83efc7ea66d2def860a3e04ccd70d77fb689fddc
|
[
"MIT"
] | 1
|
2019-10-30T03:43:24.000Z
|
2019-10-30T03:43:24.000Z
|
tests/conftest.py
|
Andy-Wilkinson/ChemMLToolk
|
83efc7ea66d2def860a3e04ccd70d77fb689fddc
|
[
"MIT"
] | 2
|
2021-11-28T21:09:30.000Z
|
2021-11-28T21:09:39.000Z
|
tests/conftest.py
|
Andy-Wilkinson/ChemMLToolkit
|
83efc7ea66d2def860a3e04ccd70d77fb689fddc
|
[
"MIT"
] | null | null | null |
import tensorflow as tf
if tf.__version__.startswith('1.'):
tf.enable_eager_execution()
| 18.6
| 35
| 0.752688
| 13
| 93
| 4.923077
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012346
| 0.129032
| 93
| 4
| 36
| 23.25
| 0.777778
| 0
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| 0
| 0
| 0
| 0.021505
| 0
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| 0
| 0
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| true
| 0
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| 0
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| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
baaddc9bb45e6aae722ae9541eaec5a520d340ca
| 189
|
py
|
Python
|
parse/forms.py
|
damiso15/excel_microservice
|
4c1b57ad6b5d1afb455d55ea97981b8ecc7c28f6
|
[
"MIT"
] | null | null | null |
parse/forms.py
|
damiso15/excel_microservice
|
4c1b57ad6b5d1afb455d55ea97981b8ecc7c28f6
|
[
"MIT"
] | 5
|
2021-03-30T14:07:01.000Z
|
2021-09-22T19:30:11.000Z
|
parse/forms.py
|
damiso15/excel_microservice
|
4c1b57ad6b5d1afb455d55ea97981b8ecc7c28f6
|
[
"MIT"
] | null | null | null |
# from django import forms
# from .models import ExcelUpload
#
#
# class ExcelUploadForm(forms.ModelForm):
# class Meta:
# model = ExcelUpload
# fields = ('document', )
| 21
| 41
| 0.640212
| 18
| 189
| 6.722222
| 0.722222
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| 0.248677
| 189
| 8
| 42
| 23.625
| 0.852113
| 0.910053
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
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| null | 0
| 0
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| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
babe558239c679b8bcf9e3c1eea23a5feb8f7bcc
| 10,697
|
py
|
Python
|
tests/test_graph.py
|
zheng-gao/ez_code
|
fbf48990291aa57d6436d4548b0a6c25dfb8f82d
|
[
"MIT"
] | null | null | null |
tests/test_graph.py
|
zheng-gao/ez_code
|
fbf48990291aa57d6436d4548b0a6c25dfb8f82d
|
[
"MIT"
] | null | null | null |
tests/test_graph.py
|
zheng-gao/ez_code
|
fbf48990291aa57d6436d4548b0a6c25dfb8f82d
|
[
"MIT"
] | null | null | null |
from fixture.utils import equal_list, equal_dict
from ezcode.graph import NegativeCycleExist
from ezcode.graph.directed import DirectedGraph
from ezcode.graph.undirected import UndirectedGraph
def test_undirected_graph():
"""
A ------ C
| /|\
| / | \
| / | \
| / | E
| / | /
| / | /
| / |/
B ------ D
"""
graph_str = """
A B C D E
A * *
B * * *
C * * * *
D * * *
E * *
"""[1:]
graph = UndirectedGraph(edges=[["A", "B"], ["A", "C"], ["B", "C"], ["B", "D"], ["C", "D"], ["C", "E"], ["D", "E"]])
benchmark = {
"A": {"A": 0, "B": 1, "C": 1, "D": 2, "E": 2},
"B": {"A": 1, "B": 0, "C": 1, "D": 1, "E": 2},
"C": {"A": 1, "B": 1, "C": 0, "D": 1, "E": 1},
"D": {"A": 2, "B": 1, "C": 1, "D": 0, "E": 1},
"E": {"A": 2, "B": 2, "C": 1, "D": 1, "E": 0}
}
assert graph_str == str(graph)
for n1, b in benchmark.items():
assert equal_dict(graph.bfs_path_value(n1), b)
assert equal_dict(graph.dijkstra(n1), b)
assert equal_dict(graph.spfa(n1), b)
for n2 in benchmark.keys():
assert equal_list(benchmark[n1][n2], graph.dfs_path_value(n1, n2))
assert equal_dict(graph.floyd(), benchmark)
def test_undirected_weighted_graph():
"""
A --0.2- C
| /| \
| / | 0.8
0.8 / | \
| / 0.9 E
| 0.5 | /
| / | 0.3
| / | /
B --0.9- D
"""
graph_str = """
A B C D E
A 0.8 0.2
B 0.8 0.5 0.9
C 0.2 0.5 0.9 0.8
D 0.9 0.9 0.3
E 0.8 0.3
"""[1:]
graph = UndirectedGraph(edges=[["A", "B"], ["A", "C"], ["B", "C"], ["B", "D"], ["C", "D"], ["C", "E"], ["D", "E"]], weights=[0.8, 0.2, 0.5, 0.9, 0.9, 0.8, 0.3])
assert graph_str == str(graph)
resolution = 0.0001
benchmark_1 = {
"A": {"A": 0, "B": 0.7, "C": 0.2, "D": 1.1, "E": 1.0},
"B": {"A": 0.7, "B": 0, "C": 0.5, "D": 0.9, "E": 1.2},
"C": {"A": 0.2, "B": 0.5, "C": 0, "D": 0.9, "E": 0.8},
"D": {"A": 1.1, "B": 0.9, "C": 0.9, "D": 0, "E": 0.3},
"E": {"A": 1.0, "B": 1.2, "C": 0.8, "D": 0.3, "E": 0 }
}
for n1, benchmark in benchmark_1.items():
assert equal_dict(graph.dijkstra(n1), benchmark, resolution=resolution)
assert equal_dict(graph.spfa(n1), benchmark, resolution=resolution)
for n2 in benchmark_1.keys():
assert equal_list(benchmark_1[n1][n2], graph.dfs_path_value(n1, n2), resolution=resolution)
assert equal_dict(graph.floyd(), benchmark_1)
benchmark_2 = {
"A": {"A": 1, "B": 0.8, "C": 0.648, "D": 0.72, "E": 0.5184},
"B": {"A": 0.8, "B": 1, "C": 0.81, "D": 0.9, "E": 0.648 },
"C": {"A": 0.648, "B": 0.81, "C": 1, "D": 0.9, "E": 0.8 },
"D": {"A": 0.72, "B": 0.9, "C": 0.9, "D": 1, "E": 0.72 },
"E": {"A": 0.5184, "B": 0.648, "C": 0.8, "D": 0.72, "E": 1 }
}
for n1, benchmark in benchmark_2.items():
assert equal_dict(graph.dijkstra(n1, self_loop_weight=1, disconnected_edge_weight=0, path_value_func=lambda a,b: a * b, min_max_func=max), benchmark, resolution=resolution)
assert equal_dict(graph.spfa(n1, self_loop_weight=1, disconnected_edge_weight=0, path_value_func=lambda a, b: a * b, min_max_func=max), benchmark, resolution=resolution)
for n2 in benchmark_2.keys():
assert equal_list(benchmark_2[n1][n2], graph.dfs_path_value(n1, n2, self_loop_weight=1, disconnected_edge_weight=0, path_value_func=lambda a, b: a * b, min_max_func=max), resolution=resolution)
assert equal_dict(graph.floyd(self_loop_weight=1, disconnected_edge_weight=0, path_value_func=lambda a, b: a * b, min_max_func=max), benchmark_2, resolution=resolution)
def test_negative_cycle_detection():
graph = UndirectedGraph(edges=[["A", "B"], ["A", "C"], ["A", "D"], ["B", "C"], ["B", "D"], ["C", "D"]], weights=[2, 3, 2, -3, 1, 1])
try:
graph.spfa("A", check_cycle=True)
except NegativeCycleExist:
assert True
else:
assert False
def test_directed_graph():
"""
a <----- c
| |
| v
| f ---> e
| ^
v |
d -----> b
"""
graph_str = """
a b c d e f
a *
b *
c * *
d *
e
f *
"""[1:]
graph = DirectedGraph(edges=[("c", "a"), ("b", "f"), ("e", None), ("a", "d"), ("c", "f"), ("d", "b"), ("f", "e")])
assert graph_str == str(graph)
assert equal_list(graph.topological_order(), ["e", "f", "b", "d", "a", "c"])
assert graph.is_acyclic_graph()
assert not DirectedGraph(edges=[("a", "b"), ("b", "a")]).is_acyclic_graph()
graph_str = """
a b c d e f
a *
b *
c * * *
d * *
e
f *
"""[1:]
graph = DirectedGraph(edges=[("a", "b"), ("c", "b"), ("d", "a"), ("b", "d"), ("c", "a"), ("d", "c"), ("c", "f"), ("f", "d"), ("e", None)])
assert graph_str == str(graph)
x = float("inf")
benchmark = {
"a": {"a": 0, "b": 1, "c": 3, "d": 2, "e": x, "f": 4},
"b": {"a": 2, "b": 0, "c": 2, "d": 1, "e": x, "f": 3},
"c": {"a": 1, "b": 1, "c": 0, "d": 2, "e": x, "f": 1},
"d": {"a": 1, "b": 2, "c": 1, "d": 0, "e": x, "f": 2},
"e": {"a": x, "b": x, "c": x, "d": x, "e": 0, "f": x},
"f": {"a": 2, "b": 3, "c": 2, "d": 1, "e": x, "f": 0}
}
assert graph_str == str(graph)
for n1, b in benchmark.items():
assert equal_dict(graph.bfs_path_value(n1), b)
assert equal_dict(graph.dijkstra(n1), b)
assert equal_dict(graph.spfa(n1), b)
for n2 in benchmark.keys():
assert equal_list(benchmark[n1][n2], graph.dfs_path_value(n1, n2))
assert equal_dict(graph.floyd(), benchmark)
def test_directed_weighted_graph():
graph_str = """
a b c d e f
a 0.8
b 0.8
c 0.5 0.7 0.6
d 0.6 0.8
e
f 0.4
"""[1:]
graph = DirectedGraph(
edges=[("a", "b"), ("c", "b"), ("d", "a"), ("b", "d"), ("c", "a"), ("d", "c"), ("c", "f"), ("f", "d"), ("e", None)],
weights=[0.8, 0.7, 0.6, 0.8, 0.5, 0.8, 0.6, 0.4, None]
)
assert graph_str == str(graph)
x, resolution = float("inf"), 0.0001
benchmark_1 = {
"a": {"a": 0, "b": 0.8, "c": 2.4, "d": 1.6, "e": x, "f": 3.0, },
"b": {"a": 1.4, "b": 0, "c": 1.6, "d": 0.8, "e": x, "f": 2.2, },
"c": {"a": 0.5, "b": 0.7, "c": 0, "d": 1.0, "e": x, "f": 0.6, },
"d": {"a": 0.6, "b": 1.4, "c": 0.8, "d": 0, "e": x, "f": 1.4, },
"e": {"a": x, "b": x, "c": x, "d": x, "e": 0, "f": x, },
"f": {"a": 1.0, "b": 1.8, "c": 1.2, "d": 0.4, "e": x, "f": 0, }
}
for n1, benchmark in benchmark_1.items():
assert equal_dict(graph.dijkstra(n1), benchmark, resolution=resolution)
assert equal_dict(graph.spfa(n1), benchmark, resolution=resolution)
for n2 in benchmark_1.keys():
assert equal_list(benchmark_1[n1][n2], graph.dfs_path_value(n1, n2), resolution=resolution)
assert equal_dict(graph.floyd(), benchmark_1, resolution=resolution)
benchmark_2 = {
"a": {"a": 1, "b": 0.8, "c": 0.512, "d": 0.64, "e": 0, "f": 0.3072},
"b": {"a": 0.48, "b": 1, "c": 0.64, "d": 0.8, "e": 0, "f": 0.384 },
"c": {"a": 0.5, "b": 0.7, "c": 1, "d": 0.56, "e": 0, "f": 0.6 },
"d": {"a": 0.6, "b": 0.56, "c": 0.8, "d": 1, "e": 0, "f": 0.48 },
"e": {"a": 0, "b": 0, "c": 0, "d": 0, "e": 1, "f": 0 },
"f": {"a": 0.24, "b": 0.224, "c": 0.32, "d": 0.4, "e": 0, "f": 1 }
}
for n1, benchmark in benchmark_2.items():
assert equal_dict(graph.dijkstra(n1, self_loop_weight=1, disconnected_edge_weight=0, path_value_func=lambda a, b: a * b, min_max_func=max), benchmark, resolution=resolution)
assert equal_dict(graph.spfa(n1, self_loop_weight=1, disconnected_edge_weight=0, path_value_func=lambda a, b: a * b, min_max_func=max), benchmark, resolution=resolution)
for n2 in benchmark_2.keys():
assert equal_list(benchmark_2[n1][n2], graph.dfs_path_value(n1, n2, self_loop_weight=1, disconnected_edge_weight=0, path_value_func=lambda a, b: a * b, min_max_func=max), resolution=resolution)
assert equal_dict(graph.floyd(self_loop_weight=1, disconnected_edge_weight=0, path_value_func=lambda a, b: a * b, min_max_func=max), benchmark_2, resolution=resolution)
def test_eulerian_path():
"""
A ------ C
| /|\
| / | \
| / | \
| / | E
| / | /
| / | /
| / |/
B ------ D
"""
graph = UndirectedGraph(edges=[["A", "B"], ["A", "C"], ["B", "C"], ["B", "D"], ["C", "D"], ["C", "E"], ["D", "E"]])
assert graph.eulerian_path(start_node="A") is None
assert graph.eulerian_path(start_node="E") is None
assert graph.eulerian_path(start_node="D") == ["D", "B", "A", "C", "D", "E", "C", "B"]
assert graph.eulerian_path() == ["B", "A", "C", "B", "D", "C", "E", "D"]
"""
A -- B
| \
| \
D C
"""
graph = UndirectedGraph(edges=[["A", "B"], ["A", "C"], ["A", "D"]])
assert graph.eulerian_path() is None
"""
A <--- B
| ^
| |
v |
D ---> C <--- E
|
v
F
"""
graph = DirectedGraph(edges=[["B", "A"], ["A", "D"], ["D", "C"], ["C", "B"], ["E", "C"], ["C", "F"]])
assert graph.eulerian_path(start_node="A") is None
assert graph.eulerian_path(start_node="B") is None
assert graph.eulerian_path(start_node="C") is None
assert graph.eulerian_path(start_node="D") is None
assert graph.eulerian_path(start_node="F") is None
assert graph.eulerian_path(start_node="E") == ["E", "C", "B", "A", "D", "C", "F"]
assert graph.eulerian_path(start_node="E") == graph.eulerian_path()
"""
A <--- B ---> F
| ^
| |
v |
D ---> C <--- E
"""
graph = DirectedGraph(edges=[["B", "A"], ["A", "D"], ["D", "C"], ["C", "B"], ["E", "C"], ["B", "F"]])
assert graph.eulerian_path() is None
| 40.518939
| 205
| 0.444237
| 1,608
| 10,697
| 2.840174
| 0.060323
| 0.016641
| 0.065689
| 0.087585
| 0.78279
| 0.749726
| 0.733742
| 0.70681
| 0.668272
| 0.613532
| 0
| 0.064802
| 0.314761
| 10,697
| 263
| 206
| 40.673004
| 0.558254
| 0.04319
| 0
| 0.416667
| 0
| 0
| 0.133626
| 0
| 0
| 0
| 0
| 0
| 0.277778
| 1
| 0.033333
| false
| 0
| 0.022222
| 0
| 0.055556
| 0
| 0
| 0
| 0
| null | 0
| 0
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| 0
| 1
| 1
| 1
| 0
| 1
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
243d8aae60e65abfff3ef3919928ba2a9f7df693
| 159
|
py
|
Python
|
deui/html/view/nav_element.py
|
urushiyama/DeUI
|
14530d2dae7d96a3dee30759f85e02239fb433c5
|
[
"MIT"
] | 1
|
2021-10-17T01:54:18.000Z
|
2021-10-17T01:54:18.000Z
|
deui/html/view/nav_element.py
|
urushiyama/DeUI
|
14530d2dae7d96a3dee30759f85e02239fb433c5
|
[
"MIT"
] | null | null | null |
deui/html/view/nav_element.py
|
urushiyama/DeUI
|
14530d2dae7d96a3dee30759f85e02239fb433c5
|
[
"MIT"
] | null | null | null |
from .element import Element
class Navigation(Element):
"""
Represents navigation link section.
"""
def __str__(self):
return "nav"
| 14.454545
| 39
| 0.628931
| 16
| 159
| 6
| 0.8125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.27044
| 159
| 10
| 40
| 15.9
| 0.827586
| 0.220126
| 0
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| 0
| 0
| 0.027778
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 1
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| null | 0
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| 1
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| 0
| 1
| 1
| 0
|
0
| 4
|
2441847130be3f39e5967ae0ebdadf4d608571ad
| 374
|
py
|
Python
|
exercicios/01.py
|
paulo123araujo/minicurso-python
|
31cd0a168c9cd692a675a9af5172460a11c38916
|
[
"MIT"
] | null | null | null |
exercicios/01.py
|
paulo123araujo/minicurso-python
|
31cd0a168c9cd692a675a9af5172460a11c38916
|
[
"MIT"
] | null | null | null |
exercicios/01.py
|
paulo123araujo/minicurso-python
|
31cd0a168c9cd692a675a9af5172460a11c38916
|
[
"MIT"
] | null | null | null |
numeros = input("Digite dois números: ").split(" ")
num1 = float(numeros[0])
num2 = float(numeros[1])
# print(f"{num1} + {num2} = {num1 + num2}")
print("%.2f + %.2f = %.2f" %(num1, num2, (num1 + num2)))
# print(num1, "+", num2, "=", num1 + num2)
print(num1, "-", num2, "=", num1 - num2)
print(num1, "*", num2, "=", num1 * num2)
print(num1, "/", num2, "=", num1 / num2)
| 24.933333
| 56
| 0.537433
| 48
| 374
| 4.1875
| 0.291667
| 0.477612
| 0.358209
| 0.477612
| 0.60199
| 0.497512
| 0.497512
| 0.497512
| 0.497512
| 0.497512
| 0
| 0.100324
| 0.173797
| 374
| 14
| 57
| 26.714286
| 0.550162
| 0.219251
| 0
| 0
| 0
| 0
| 0.159722
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.571429
| 0
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| null | 1
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
79f61a5d75644c8b4cf9fd950bb95e70f2f7c3a4
| 176
|
py
|
Python
|
configs/flownet/flownets_8x1_slong_flyingchairs_384x448.py
|
hologerry/mmflow
|
40caf064851bd95317424e31cc137c0007a2bece
|
[
"Apache-2.0"
] | 481
|
2021-11-16T07:04:23.000Z
|
2022-03-31T22:21:21.000Z
|
configs/flownet/flownets_8x1_slong_flyingchairs_384x448.py
|
hologerry/mmflow
|
40caf064851bd95317424e31cc137c0007a2bece
|
[
"Apache-2.0"
] | 72
|
2021-11-16T12:25:55.000Z
|
2022-03-28T13:10:45.000Z
|
configs/flownet/flownets_8x1_slong_flyingchairs_384x448.py
|
hologerry/mmflow
|
40caf064851bd95317424e31cc137c0007a2bece
|
[
"Apache-2.0"
] | 48
|
2021-11-16T06:48:46.000Z
|
2022-03-30T12:46:40.000Z
|
_base_ = [
'../_base_/models/flownets.py',
'../_base_/datasets/flyingchairs_384x448.py',
'../_base_/schedules/schedule_s_long.py', '../_base_/default_runtime.py'
]
| 29.333333
| 76
| 0.676136
| 20
| 176
| 5.25
| 0.65
| 0.171429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.038462
| 0.113636
| 176
| 5
| 77
| 35.2
| 0.634615
| 0
| 0
| 0
| 0
| 0
| 0.772727
| 0.772727
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
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| 0
| 0
| 0
| 1
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| 0
| null | 0
| 0
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| 0
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| 1
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| 0
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| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
0309958523ceb32502c420f13cb24f00e9e388b5
| 428
|
py
|
Python
|
mpfmc/tests/_test_Template.py
|
arthurlutz/mpf-mc
|
6f4aac5d48eb07dd5aa6612985a7567af8577ce2
|
[
"MIT"
] | 16
|
2016-01-07T18:17:55.000Z
|
2022-03-27T14:29:42.000Z
|
mpfmc/tests/_test_Template.py
|
arthurlutz/mpf-mc
|
6f4aac5d48eb07dd5aa6612985a7567af8577ce2
|
[
"MIT"
] | 308
|
2016-04-10T18:33:40.000Z
|
2021-11-17T21:38:49.000Z
|
mpfmc/tests/_test_Template.py
|
arthurlutz/mpf-mc
|
6f4aac5d48eb07dd5aa6612985a7567af8577ce2
|
[
"MIT"
] | 39
|
2016-02-23T23:49:20.000Z
|
2021-11-08T04:50:12.000Z
|
# How to add a test:
# Copy this file
# Rename TestTemplate to TestWhatever in line 9
# Rename machine path and config file in lines 11 and 14
from mpfmc.tests.MpfMcTestCase import MpfMcTestCase
class TestTemplate(MpfMcTestCase):
def get_machine_path(self):
return 'tests/machine_files/test_template'
def get_config_file(self):
return 'test_template.yaml'
def test_something(self):
pass
| 23.777778
| 56
| 0.733645
| 60
| 428
| 5.1
| 0.6
| 0.071895
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014706
| 0.205607
| 428
| 17
| 57
| 25.176471
| 0.885294
| 0.313084
| 0
| 0
| 0
| 0
| 0.176471
| 0.114187
| 0
| 0
| 0
| 0
| 0
| 1
| 0.375
| false
| 0.125
| 0.125
| 0.25
| 0.875
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
0358f73562d2122131efd6aa840de358e08667b3
| 4,060
|
py
|
Python
|
accounting/migrations/0001_initial.py
|
bobjiangps/django-blog
|
6afd36fa96c5a027546575b362b0a481c5d7c1a5
|
[
"MIT"
] | 3
|
2019-10-25T13:08:04.000Z
|
2020-01-05T11:29:18.000Z
|
accounting/migrations/0001_initial.py
|
bobjiangps/django-blog
|
6afd36fa96c5a027546575b362b0a481c5d7c1a5
|
[
"MIT"
] | 9
|
2020-05-10T10:13:56.000Z
|
2022-03-11T23:33:52.000Z
|
accounting/migrations/0001_initial.py
|
bobjiangps/django-blog
|
6afd36fa96c5a027546575b362b0a481c5d7c1a5
|
[
"MIT"
] | 3
|
2019-02-11T02:55:51.000Z
|
2020-01-05T11:29:20.000Z
|
# Generated by Django 2.2.13 on 2021-01-22 17:41
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Account',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=100)),
('amount', models.DecimalField(decimal_places=2, max_digits=8)),
('icon', models.CharField(max_length=100, null=True)),
('created_date', models.DateTimeField(default=django.utils.timezone.now)),
('updated_date', models.DateTimeField(default=django.utils.timezone.now)),
],
options={
'ordering': ['created_date'],
},
),
migrations.CreateModel(
name='Category',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=100)),
('icon', models.CharField(max_length=100)),
('category_type', models.CharField(choices=[('income', '收入'), ('expense', '支出')], default='expense', max_length=100)),
],
options={
'ordering': ['id'],
},
),
migrations.CreateModel(
name='Currency',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=100)),
('icon', models.CharField(max_length=100)),
],
options={
'ordering': ['id'],
},
),
migrations.CreateModel(
name='SubCategory',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=100)),
('icon', models.CharField(max_length=100)),
('parent', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='accounting.Category')),
],
options={
'ordering': ['id'],
},
),
migrations.CreateModel(
name='HistoryRecord',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('time_of_occurrence', models.DateTimeField(default=django.utils.timezone.now)),
('amount', models.DecimalField(decimal_places=2, max_digits=8)),
('comment', models.CharField(blank=True, max_length=500, null=True)),
('created_date', models.DateTimeField(default=django.utils.timezone.now)),
('updated_date', models.DateTimeField(default=django.utils.timezone.now)),
('account', models.ForeignKey(default=1, null=True, on_delete=django.db.models.deletion.SET_NULL, to='accounting.Account')),
('category', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='accounting.Category')),
('currency', models.ForeignKey(default=1, null=True, on_delete=django.db.models.deletion.SET_NULL, to='accounting.Currency')),
('sub_category', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='accounting.SubCategory')),
],
options={
'ordering': ['-time_of_occurrence'],
},
),
migrations.AddField(
model_name='account',
name='currency',
field=models.ForeignKey(default=1, null=True, on_delete=django.db.models.deletion.SET_NULL, to='accounting.Currency'),
),
]
| 45.617978
| 150
| 0.57069
| 400
| 4,060
| 5.66
| 0.21
| 0.066254
| 0.047703
| 0.084806
| 0.746025
| 0.746025
| 0.713781
| 0.69258
| 0.69258
| 0.607774
| 0
| 0.018188
| 0.282266
| 4,060
| 88
| 151
| 46.136364
| 0.758751
| 0.01133
| 0
| 0.580247
| 1
| 0
| 0.117149
| 0.005484
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.037037
| 0
| 0.08642
| 0
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| 0
| null | 0
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| 1
| 0
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| 1
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| null | 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
0371b2e5e808a3335687f6bb1d019e4b4c60e31e
| 1,610
|
py
|
Python
|
01_Modelos_Supervisionados/1.2_Analise_Discriminante_Linear_e_Quadratica/1.2.3_Formulacao_Matematica_de_Reducao_de_Dimensionalidade_LDA.py
|
BrunoBertti/Scikit_Learning
|
4b9e10ff7909f3728ac1e8bba19f5fd779340bc4
|
[
"MIT"
] | null | null | null |
01_Modelos_Supervisionados/1.2_Analise_Discriminante_Linear_e_Quadratica/1.2.3_Formulacao_Matematica_de_Reducao_de_Dimensionalidade_LDA.py
|
BrunoBertti/Scikit_Learning
|
4b9e10ff7909f3728ac1e8bba19f5fd779340bc4
|
[
"MIT"
] | null | null | null |
01_Modelos_Supervisionados/1.2_Analise_Discriminante_Linear_e_Quadratica/1.2.3_Formulacao_Matematica_de_Reducao_de_Dimensionalidade_LDA.py
|
BrunoBertti/Scikit_Learning
|
4b9e10ff7909f3728ac1e8bba19f5fd779340bc4
|
[
"MIT"
] | null | null | null |
########## 1.2.3. Formulação matemática de redução de dimensionalidade LDA ##########
# Primeiro note que K significa que \mu_k são vetores em \mathcal{R}^d, e eles estão em um subespaço afim H de dimensão no máximo K - 1 (2 pontos estão em uma linha, 3 pontos estão em um plano, etc.) ).
# Como mencionado acima, podemos interpretar LDA como a atribuição de x à classe cuja média \mu_k é a mais próxima em termos de distância de Mahalanobis, enquanto também leva em conta as probabilidades anteriores da classe. Alternativamente, LDA é equivalente a primeiro esferificar os dados de modo que a matriz de covariância seja a identidade e, em seguida, atribuir x à média mais próxima em termos de distância euclidiana (ainda contabilizando as classes prioritárias).
# Calcular distâncias euclidianas neste espaço d-dimensional é equivalente a primeiro projetar os pontos de dados em H e calcular as distâncias lá (já que as outras dimensões contribuirão igualmente para cada classe em termos de distância). Em outras palavras, se x estiver mais próximo de \mu_k no espaço original, também será o caso de H. Isso mostra que, implícito no classificador LDA, há uma redução de dimensionalidade por projeção linear em um espaço dimensional K-1 .
# Podemos reduzir ainda mais a dimensão, para um L escolhido, projetando no subespaço linear H_L que maximiza a variância do \mu^*_k após a projeção (na verdade, estamos fazendo uma forma de PCA para a classe transformada significa \ mu^*_k). Este L corresponde ao parâmetro n_components usado no método de transformação. Veja 1 para mais detalhes.
| 161
| 479
| 0.778261
| 262
| 1,610
| 4.755725
| 0.519084
| 0.012039
| 0.024077
| 0.045746
| 0.048154
| 0.048154
| 0
| 0
| 0
| 0
| 0
| 0.006015
| 0.173913
| 1,610
| 10
| 480
| 161
| 0.930827
| 0.968323
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0.1
| null | 1
| null | true
| 0
| 0
| null | null | null | 0
| 0
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
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| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
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| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
cef85293a8bebf5de04a9c7c28c2ecb0f768bbf3
| 129
|
py
|
Python
|
alcor/models/__init__.py
|
wolvespack/alcor
|
dcc6b029ab7e6eb96b65b7b996cf335c3b030649
|
[
"MIT"
] | 2
|
2017-05-02T11:36:46.000Z
|
2017-05-02T14:01:16.000Z
|
alcor/models/__init__.py
|
wolvespack/alcor
|
dcc6b029ab7e6eb96b65b7b996cf335c3b030649
|
[
"MIT"
] | 14
|
2017-10-15T20:13:23.000Z
|
2017-12-03T17:00:30.000Z
|
alcor/models/__init__.py
|
wolvespack/alcor
|
dcc6b029ab7e6eb96b65b7b996cf335c3b030649
|
[
"MIT"
] | null | null | null |
from .group import Group
from .star import (STAR_PARAMETERS_NAMES,
GalacticDiskType,
Star)
| 25.8
| 41
| 0.581395
| 12
| 129
| 6.083333
| 0.583333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.372093
| 129
| 4
| 42
| 32.25
| 0.901235
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
3004b0eda50f3f009063212317a8fd0157f3b144
| 369
|
py
|
Python
|
tools/configen/example/gen/configen/samples/user/conf/User.py
|
wpc/hydra
|
43b8a0f06eaf80f75810cc249e1eaa8a211e39c4
|
[
"MIT"
] | 1
|
2021-02-23T00:00:20.000Z
|
2021-02-23T00:00:20.000Z
|
tools/configen/example/gen/configen/samples/user/conf/User.py
|
wpc/hydra
|
43b8a0f06eaf80f75810cc249e1eaa8a211e39c4
|
[
"MIT"
] | null | null | null |
tools/configen/example/gen/configen/samples/user/conf/User.py
|
wpc/hydra
|
43b8a0f06eaf80f75810cc249e1eaa8a211e39c4
|
[
"MIT"
] | null | null | null |
# Generated by configen, do not edit.
# See https://github.com/facebookresearch/hydra/tree/master/tools/configen
# fmt: off
# isort:skip_file
# flake8: noqa
from dataclasses import dataclass
from typing import *
from omegaconf import MISSING
@dataclass
class UserConf:
_target_: str = "configen.samples.user.User"
age: int = MISSING
name: str = MISSING
| 20.5
| 74
| 0.742547
| 49
| 369
| 5.530612
| 0.77551
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003247
| 0.165312
| 369
| 17
| 75
| 21.705882
| 0.876623
| 0.395664
| 0
| 0
| 1
| 0
| 0.119816
| 0.119816
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.375
| 0
| 0.875
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
302af14bd5d8ff0171af453caa11c3079af12cfe
| 227
|
py
|
Python
|
docker_compose/tweet_collector/config.py
|
lenaromanenko/twitter_sentiment_analysis
|
ac642ee4a6c2af01bd413326ff0bae406c2e2efe
|
[
"MIT"
] | 1
|
2021-03-23T10:27:06.000Z
|
2021-03-23T10:27:06.000Z
|
docker_compose/tweet_collector/config.py
|
lenaromanenko/twitter_sentiment_analysis
|
ac642ee4a6c2af01bd413326ff0bae406c2e2efe
|
[
"MIT"
] | null | null | null |
docker_compose/tweet_collector/config.py
|
lenaromanenko/twitter_sentiment_analysis
|
ac642ee4a6c2af01bd413326ff0bae406c2e2efe
|
[
"MIT"
] | 1
|
2021-05-31T15:39:30.000Z
|
2021-05-31T15:39:30.000Z
|
import os
API_KEY = os.getenv('API_KEY')
API_SECRET = os.getenv('API_SECRET')
ACCESS_TOKEN = os.getenv('ACCESS_TOKEN')
ACCESS_TOKEN_SECRET = os.getenv('ACCESS_TOKEN_SECRET')
POSTGRES_PASSWORD = os.getenv('POSTGRES_PASSWORD')
| 25.222222
| 54
| 0.784141
| 34
| 227
| 4.882353
| 0.294118
| 0.240964
| 0.13253
| 0.228916
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0837
| 227
| 8
| 55
| 28.375
| 0.798077
| 0
| 0
| 0
| 0
| 0
| 0.286344
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.166667
| 0.166667
| 0
| 0.166667
| 0
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| 0
| null | 1
| 0
| 1
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| 1
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| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 0
| 0
|
0
| 4
|
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