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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
089746b4196a10e91ae26e24b6752ee1b01dc452
| 25,561
|
py
|
Python
|
bireme/oer/migrations/0001_initial.py
|
rfdeoliveira/fi-admin
|
c2df084c7e79d587e2273dc222f106fa243b7f6e
|
[
"MIT",
"Python-2.0",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null |
bireme/oer/migrations/0001_initial.py
|
rfdeoliveira/fi-admin
|
c2df084c7e79d587e2273dc222f106fa243b7f6e
|
[
"MIT",
"Python-2.0",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null |
bireme/oer/migrations/0001_initial.py
|
rfdeoliveira/fi-admin
|
c2df084c7e79d587e2273dc222f106fa243b7f6e
|
[
"MIT",
"Python-2.0",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
from django.conf import settings
import log.models
import utils.fields
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('main', '0004_auto_20170504_1544'),
]
operations = [
migrations.CreateModel(
name='Audience',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('created_time', models.DateTimeField(auto_now_add=True, verbose_name='created at')),
('updated_time', models.DateTimeField(auto_now=True, verbose_name='updated', null=True)),
('name', models.CharField(max_length=115, verbose_name='Name')),
('language', models.CharField(max_length=10, verbose_name='Language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('created_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
('updated_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
],
options={
'verbose_name': 'Audience',
'verbose_name_plural': 'Audiences',
},
),
migrations.CreateModel(
name='AudienceLocal',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('language', models.CharField(max_length=10, verbose_name='language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('name', models.CharField(max_length=115, verbose_name='name')),
('audience', models.ForeignKey(verbose_name='Audience', to='oer.Audience')),
],
options={
'verbose_name': 'Translation',
'verbose_name_plural': 'Translations',
},
),
migrations.CreateModel(
name='CourseType',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('created_time', models.DateTimeField(auto_now_add=True, verbose_name='created at')),
('updated_time', models.DateTimeField(auto_now=True, verbose_name='updated', null=True)),
('name', models.CharField(max_length=115, verbose_name='Name')),
('language', models.CharField(max_length=10, verbose_name='Language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('created_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
('updated_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
],
options={
'verbose_name': 'Course type',
'verbose_name_plural': 'Course types',
},
),
migrations.CreateModel(
name='CourseTypeLocal',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('language', models.CharField(max_length=10, verbose_name='language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('name', models.CharField(max_length=115, verbose_name='name')),
('coursetype', models.ForeignKey(verbose_name='Course type', to='oer.CourseType')),
],
options={
'verbose_name': 'Translation',
'verbose_name_plural': 'Translations',
},
),
migrations.CreateModel(
name='Difficulty',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('created_time', models.DateTimeField(auto_now_add=True, verbose_name='created at')),
('updated_time', models.DateTimeField(auto_now=True, verbose_name='updated', null=True)),
('name', models.CharField(max_length=115, verbose_name='Name')),
('language', models.CharField(max_length=10, verbose_name='Language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('created_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
('updated_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
],
options={
'verbose_name': 'Difficulty',
'verbose_name_plural': 'Difficulties',
},
),
migrations.CreateModel(
name='DifficultyLocal',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('language', models.CharField(max_length=10, verbose_name='language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('name', models.CharField(max_length=115, verbose_name='name')),
('difficulty', models.ForeignKey(verbose_name='Difficulty', to='oer.Difficulty')),
],
options={
'verbose_name': 'Translation',
'verbose_name_plural': 'Translations',
},
),
migrations.CreateModel(
name='Format',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('created_time', models.DateTimeField(auto_now_add=True, verbose_name='created at')),
('updated_time', models.DateTimeField(auto_now=True, verbose_name='updated', null=True)),
('name', models.CharField(max_length=115, verbose_name='Name')),
('language', models.CharField(max_length=10, verbose_name='Language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('created_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
('updated_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
],
options={
'verbose_name': 'Format',
'verbose_name_plural': 'Format',
},
),
migrations.CreateModel(
name='FormatLocal',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('language', models.CharField(max_length=10, verbose_name='language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('name', models.CharField(max_length=115, verbose_name='name')),
('format', models.ForeignKey(verbose_name='Format', to='oer.Format')),
],
options={
'verbose_name': 'Translation',
'verbose_name_plural': 'Translations',
},
),
migrations.CreateModel(
name='InteractivityType',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('created_time', models.DateTimeField(auto_now_add=True, verbose_name='created at')),
('updated_time', models.DateTimeField(auto_now=True, verbose_name='updated', null=True)),
('name', models.CharField(max_length=115, verbose_name='Name')),
('language', models.CharField(max_length=10, verbose_name='Language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('created_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
('updated_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
],
options={
'verbose_name': 'Interactivity type',
'verbose_name_plural': 'Interactivity types',
},
),
migrations.CreateModel(
name='InteractivityTypeLocal',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('language', models.CharField(max_length=10, verbose_name='language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('name', models.CharField(max_length=115, verbose_name='name')),
('interatype', models.ForeignKey(verbose_name='Interactivity type', to='oer.InteractivityType')),
],
options={
'verbose_name': 'Translation',
'verbose_name_plural': 'Translations',
},
),
migrations.CreateModel(
name='LearningResourceType',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('created_time', models.DateTimeField(auto_now_add=True, verbose_name='created at')),
('updated_time', models.DateTimeField(auto_now=True, verbose_name='updated', null=True)),
('name', models.CharField(max_length=115, verbose_name='Name')),
('language', models.CharField(max_length=10, verbose_name='Language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('created_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
('updated_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
],
options={
'verbose_name': 'Learning resource type',
'verbose_name_plural': 'Learning resource types',
},
),
migrations.CreateModel(
name='LearningResourceTypeLocal',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('language', models.CharField(max_length=10, verbose_name='language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('name', models.CharField(max_length=115, verbose_name='name')),
('coursetype', models.ForeignKey(verbose_name='Learning resource type', to='oer.LearningResourceType')),
],
options={
'verbose_name': 'Translation',
'verbose_name_plural': 'Translations',
},
),
migrations.CreateModel(
name='License',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('created_time', models.DateTimeField(auto_now_add=True, verbose_name='created at')),
('updated_time', models.DateTimeField(auto_now=True, verbose_name='updated', null=True)),
('name', models.CharField(max_length=115, verbose_name='Name')),
('language', models.CharField(max_length=10, verbose_name='Language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('created_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
('updated_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
],
options={
'verbose_name': 'License',
'verbose_name_plural': 'Licenses',
},
),
migrations.CreateModel(
name='LicenseLocal',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('language', models.CharField(max_length=10, verbose_name='language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('name', models.CharField(max_length=115, verbose_name='name')),
('license', models.ForeignKey(verbose_name='License', to='oer.License')),
],
options={
'verbose_name': 'Translation',
'verbose_name_plural': 'Translations',
},
),
migrations.CreateModel(
name='OER',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('created_time', models.DateTimeField(auto_now_add=True, verbose_name='created at')),
('updated_time', models.DateTimeField(auto_now=True, verbose_name='updated', null=True)),
('status', models.SmallIntegerField(default=-1, null=True, verbose_name='Status', choices=[(-2, 'Related'), (-1, 'Draft'), (1, 'Published'), (2, 'Refused'), (3, 'Deleted')])),
('CVSP_resource', models.BooleanField(default=False, verbose_name='CVSP resource')),
('title', models.CharField(max_length=255, verbose_name='Title')),
('learning_objectives', models.TextField(verbose_name='Learning objectives', blank=True)),
('description', models.TextField(verbose_name='Description', blank=True)),
('creator', utils.fields.JSONField(null=True, verbose_name='Creator', blank=True)),
('contributor', utils.fields.JSONField(null=True, verbose_name='Creator', blank=True)),
('aggregation_level', models.CharField(blank=True, max_length=55, verbose_name='Aggregation Level', choices=[(b'0', b'0'), (b'1', b'1'), (b'2', b'2'), (b'3', b'3'), (b'4', b'4')])),
('publisher', models.CharField(max_length=155, verbose_name='Publisher', blank=True)),
('free_keywords', models.TextField(verbose_name='Free keywords', blank=True)),
('duration', models.CharField(max_length=155, verbose_name='Duration', blank=True)),
('size', models.CharField(max_length=55, verbose_name='Size', blank=True)),
('technical_requirements', models.CharField(max_length=155, verbose_name='Technical requirements', blank=True)),
('typical_learning_time', models.CharField(max_length=115, verbose_name='Typical learning time', blank=True)),
('cooperative_center_code', models.CharField(max_length=55, verbose_name='Cooperative center', blank=True)),
('cvsp_node', models.CharField(max_length=55, verbose_name='CVSP node', blank=True)),
('audience', models.ManyToManyField(to='oer.Audience', verbose_name='Audience', blank=True)),
('course_type', models.ManyToManyField(to='oer.CourseType', verbose_name='Course type', blank=True)),
('created_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
('difficulty', models.ForeignKey(verbose_name='Difficulty', blank=True, to='oer.Difficulty', null=True)),
('format', models.ManyToManyField(to='oer.Format', verbose_name='Format', blank=True)),
('interactivity_type', models.ForeignKey(verbose_name='Interactivity type', blank=True, to='oer.InteractivityType', null=True)),
('language', models.ForeignKey(verbose_name='Language', blank=True, to='main.SourceLanguage', null=True)),
('learning_resource_type', models.ForeignKey(verbose_name='Learning resource type', blank=True, to='oer.LearningResourceType', null=True)),
('license', models.ForeignKey(verbose_name='Rights license', blank=True, to='oer.License', null=True)),
],
options={
'verbose_name': 'Open Educational Resource',
'verbose_name_plural': 'Open Educational Resources',
},
bases=(models.Model, log.models.AuditLog),
),
migrations.CreateModel(
name='OERURL',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('created_time', models.DateTimeField(auto_now_add=True, verbose_name='created at')),
('updated_time', models.DateTimeField(auto_now=True, verbose_name='updated', null=True)),
('url', models.URLField(verbose_name='URL')),
('language', models.CharField(blank=True, max_length=10, verbose_name='Language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('created_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
('oer', models.ForeignKey(to='oer.OER', null=True)),
('updated_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
],
options={
'verbose_name': 'URL',
'verbose_name_plural': 'URLs',
},
),
migrations.CreateModel(
name='Relationship',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('created_time', models.DateTimeField(auto_now_add=True, verbose_name='created at')),
('updated_time', models.DateTimeField(auto_now=True, verbose_name='updated', null=True)),
('created_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
('oer_referred', models.ForeignKey(related_name='referred', verbose_name='OER related', to='oer.OER', null=True)),
('oer_related', models.ForeignKey(related_name='related', to='oer.OER', null=True)),
],
options={
'verbose_name': 'Relationship',
'verbose_name_plural': 'Relationships',
},
),
migrations.CreateModel(
name='RelationType',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('created_time', models.DateTimeField(auto_now_add=True, verbose_name='created at')),
('updated_time', models.DateTimeField(auto_now=True, verbose_name='updated', null=True)),
('name', models.CharField(max_length=155, verbose_name='name')),
('language', models.CharField(max_length=10, verbose_name='language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('label_active', models.CharField(max_length=155, verbose_name='Active form')),
('label_passive', models.CharField(max_length=155, verbose_name='Passive form')),
('created_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
('updated_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
],
options={
'verbose_name': 'Relation type',
'verbose_name_plural': 'Relation types',
},
),
migrations.CreateModel(
name='RelationTypeLocal',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('language', models.CharField(max_length=10, verbose_name='language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('label_active', models.CharField(max_length=155, verbose_name='Active form')),
('label_passive', models.CharField(max_length=155, verbose_name='Passive form')),
('relation_type', models.ForeignKey(verbose_name='Relation type', to='oer.RelationType')),
],
options={
'verbose_name': 'Translation',
'verbose_name_plural': 'Translations',
},
),
migrations.CreateModel(
name='TecResourceType',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('created_time', models.DateTimeField(auto_now_add=True, verbose_name='created at')),
('updated_time', models.DateTimeField(auto_now=True, verbose_name='updated', null=True)),
('name', models.CharField(max_length=115, verbose_name='Name')),
('language', models.CharField(max_length=10, verbose_name='Language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('created_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
('updated_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
],
options={
'verbose_name': 'Technical Resource Type',
'verbose_name_plural': 'Technical Resource Types',
},
),
migrations.CreateModel(
name='TecResourceTypeLocal',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('language', models.CharField(max_length=10, verbose_name='language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('name', models.CharField(max_length=115, verbose_name='name')),
('tecresourcetype', models.ForeignKey(verbose_name='Technical resource type', to='oer.TecResourceType')),
],
options={
'verbose_name': 'Translation',
'verbose_name_plural': 'Translations',
},
),
migrations.CreateModel(
name='Type',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('created_time', models.DateTimeField(auto_now_add=True, verbose_name='created at')),
('updated_time', models.DateTimeField(auto_now=True, verbose_name='updated', null=True)),
('name', models.CharField(max_length=115, verbose_name='Name')),
('language', models.CharField(max_length=10, verbose_name='Language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('created_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
('updated_by', models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True)),
],
options={
'verbose_name': 'Type',
'verbose_name_plural': 'Types',
},
),
migrations.CreateModel(
name='TypeLocal',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('language', models.CharField(max_length=10, verbose_name='language', choices=[(b'en', 'English'), (b'pt-br', 'Portuguese'), (b'es', 'Spanish')])),
('name', models.CharField(max_length=115, verbose_name='name')),
('oer_type', models.ForeignKey(verbose_name='Type', to='oer.Type')),
],
options={
'verbose_name': 'Translation',
'verbose_name_plural': 'Translations',
},
),
migrations.AddField(
model_name='relationship',
name='relation_type',
field=models.ForeignKey(to='oer.RelationType'),
),
migrations.AddField(
model_name='relationship',
name='updated_by',
field=models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='oer',
name='tec_resource_type',
field=models.ManyToManyField(to='oer.TecResourceType', verbose_name='Technical resource type', blank=True),
),
migrations.AddField(
model_name='oer',
name='type',
field=models.ForeignKey(verbose_name='Type', blank=True, to='oer.Type', null=True),
),
migrations.AddField(
model_name='oer',
name='updated_by',
field=models.ForeignKey(related_name='+', blank=True, editable=False, to=settings.AUTH_USER_MODEL, null=True),
),
]
| 62.80344
| 197
| 0.588396
| 2,609
| 25,561
| 5.5688
| 0.063243
| 0.134008
| 0.063184
| 0.084245
| 0.787735
| 0.753665
| 0.729094
| 0.703558
| 0.698603
| 0.693923
| 0
| 0.008729
| 0.251516
| 25,561
| 406
| 198
| 62.958128
| 0.750679
| 0.000822
| 0
| 0.6725
| 0
| 0
| 0.200172
| 0.009711
| 0
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| 0
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| 1
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| false
| 0.005
| 0.0125
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| 0
| 0
|
0
| 4
|
08ac9d0050f8129c9257d40ef27f9532385e2dbf
| 36
|
py
|
Python
|
src/__init__.py
|
power-edge/mlb_statsapi_etl
|
9cca2ae059e8aab98ed460e7b71ad6eeeed09ffe
|
[
"Apache-2.0"
] | null | null | null |
src/__init__.py
|
power-edge/mlb_statsapi_etl
|
9cca2ae059e8aab98ed460e7b71ad6eeeed09ffe
|
[
"Apache-2.0"
] | null | null | null |
src/__init__.py
|
power-edge/mlb_statsapi_etl
|
9cca2ae059e8aab98ed460e7b71ad6eeeed09ffe
|
[
"Apache-2.0"
] | null | null | null |
"""
created by nikos at 6/24/21
"""
| 9
| 27
| 0.583333
| 7
| 36
| 3
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.172414
| 0.194444
| 36
| 3
| 28
| 12
| 0.551724
| 0.75
| 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
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
08b71cc3f9120ece21af15349b2f89b49a6c8382
| 59
|
py
|
Python
|
bibrecord/__init__.py
|
tillbiskup/bibrecord
|
890f907d1d4235fbe04b85df5b4368a25a2b4ab5
|
[
"BSD-2-Clause"
] | null | null | null |
bibrecord/__init__.py
|
tillbiskup/bibrecord
|
890f907d1d4235fbe04b85df5b4368a25a2b4ab5
|
[
"BSD-2-Clause"
] | null | null | null |
bibrecord/__init__.py
|
tillbiskup/bibrecord
|
890f907d1d4235fbe04b85df5b4368a25a2b4ab5
|
[
"BSD-2-Clause"
] | null | null | null |
"""bibrecord
Handling bib(tex) records for references.
"""
| 14.75
| 41
| 0.728814
| 7
| 59
| 6.142857
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.118644
| 59
| 4
| 42
| 14.75
| 0.826923
| 0.881356
| 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
|
08c9e4e6c772a4ba530e892b6e7c97335f8bb3b2
| 1,048
|
py
|
Python
|
mltk/core/preprocess/audio/audio_feature_generator/tests/test_audio_feature_generator.py
|
SiliconLabs/mltk
|
56b19518187e9d1c8a0d275de137fc9058984a1f
|
[
"Zlib"
] | null | null | null |
mltk/core/preprocess/audio/audio_feature_generator/tests/test_audio_feature_generator.py
|
SiliconLabs/mltk
|
56b19518187e9d1c8a0d275de137fc9058984a1f
|
[
"Zlib"
] | 1
|
2021-11-19T20:10:09.000Z
|
2021-11-19T20:10:09.000Z
|
mltk/core/preprocess/audio/audio_feature_generator/tests/test_audio_feature_generator.py
|
sldriedler/mltk
|
d82a60359cf875f542a2257f1bc7d8eb4bdaa204
|
[
"Zlib"
] | null | null | null |
import numpy as np
from mltk.core.preprocess.audio.audio_feature_generator import AudioFeatureGenerator
from mltk.core.preprocess.audio.audio_feature_generator.tests.data import (
DEFAULT_SETTINGS,
YES_INPUT_AUDIO,
YES_OUTPUT_FEATURES_INT8,
NO_INPUT_AUDIO,
NO_OUTPUT_FEATURES_INT8
)
def test_yes_samples():
settings = DEFAULT_SETTINGS
mfe = AudioFeatureGenerator(settings)
sample = np.asarray(YES_INPUT_AUDIO, dtype=np.int16)
calculated = mfe.process_sample(sample, dtype=np.int8)
expected = np.reshape(np.array(YES_OUTPUT_FEATURES_INT8, dtype=np.int8), settings.spectrogram_shape)
assert np.allclose(calculated, expected)
def test_no_samples():
settings = DEFAULT_SETTINGS
mfe = AudioFeatureGenerator(settings)
sample = np.asarray(NO_INPUT_AUDIO, dtype=np.int16)
calculated = mfe.process_sample(sample, dtype=np.int8)
expected = np.reshape(np.array(NO_OUTPUT_FEATURES_INT8, dtype=np.int8), settings.spectrogram_shape)
assert np.allclose(calculated, expected)
| 30.823529
| 104
| 0.767176
| 135
| 1,048
| 5.696296
| 0.288889
| 0.054616
| 0.093628
| 0.057217
| 0.782835
| 0.782835
| 0.782835
| 0.782835
| 0.657997
| 0.657997
| 0
| 0.013423
| 0.146947
| 1,048
| 33
| 105
| 31.757576
| 0.846756
| 0
| 0
| 0.347826
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086957
| 1
| 0.086957
| false
| 0
| 0.130435
| 0
| 0.217391
| 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
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
3e98422edac6e5268467862d80126bf418509d1d
| 221
|
py
|
Python
|
django_app/views.py
|
popenc/stack_example
|
3ee6a98d68ad0d7adb9c4e44c3fc7a14052f74a6
|
[
"MIT"
] | null | null | null |
django_app/views.py
|
popenc/stack_example
|
3ee6a98d68ad0d7adb9c4e44c3fc7a14052f74a6
|
[
"MIT"
] | null | null | null |
django_app/views.py
|
popenc/stack_example
|
3ee6a98d68ad0d7adb9c4e44c3fc7a14052f74a6
|
[
"MIT"
] | null | null | null |
from django.shortcuts import render
from django.template.loader import render_to_string
# Create your views here.
from django.http import HttpResponse
def test_page(request):
return render(request, "ws_test_page.html")
| 27.625
| 51
| 0.823529
| 33
| 221
| 5.363636
| 0.666667
| 0.169492
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108597
| 221
| 8
| 52
| 27.625
| 0.898477
| 0.104072
| 0
| 0
| 0
| 0
| 0.086294
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.6
| 0.2
| 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
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
3ecfb4c9948f9e3fe07c6dfcbf69f58d2b7740e1
| 124
|
py
|
Python
|
brainbite/__init__.py
|
LouiS0616/brainbite
|
573bc9a6103ad3f2525469b001ae30ba39739322
|
[
"MIT"
] | null | null | null |
brainbite/__init__.py
|
LouiS0616/brainbite
|
573bc9a6103ad3f2525469b001ae30ba39739322
|
[
"MIT"
] | null | null | null |
brainbite/__init__.py
|
LouiS0616/brainbite
|
573bc9a6103ad3f2525469b001ae30ba39739322
|
[
"MIT"
] | null | null | null |
from brainbite.biter.biter import Biter
from brainbite.transpiler import transpiler
name = 'brainbite'
__all__ = ['Biter']
| 20.666667
| 43
| 0.790323
| 15
| 124
| 6.266667
| 0.466667
| 0.276596
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.120968
| 124
| 5
| 44
| 24.8
| 0.862385
| 0
| 0
| 0
| 0
| 0
| 0.112903
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 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
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
3ed5c21f743906e54c1b717d8f712037683b4636
| 189
|
py
|
Python
|
artificial_bias_experiments/known_prop_scores/scar/experiment_info.py
|
ML-KULeuven/KBC-as-PU-Learning
|
a00f606bd40ca06af0a5627e65a4582859976918
|
[
"Apache-2.0"
] | 4
|
2021-12-14T16:13:47.000Z
|
2022-01-21T13:14:14.000Z
|
artificial_bias_experiments/known_prop_scores/scar/experiment_info.py
|
ML-KULeuven/KBC-as-PU-Learning
|
a00f606bd40ca06af0a5627e65a4582859976918
|
[
"Apache-2.0"
] | null | null | null |
artificial_bias_experiments/known_prop_scores/scar/experiment_info.py
|
ML-KULeuven/KBC-as-PU-Learning
|
a00f606bd40ca06af0a5627e65a4582859976918
|
[
"Apache-2.0"
] | null | null | null |
from typing import NamedTuple
class KnownPropScoresSCARExperimentInfo(NamedTuple):
dataset_name: str
target_relation: str
true_label_frequency: float
is_pca_version: bool
| 21
| 52
| 0.793651
| 21
| 189
| 6.857143
| 0.904762
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169312
| 189
| 8
| 53
| 23.625
| 0.917197
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.166667
| 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
| 0
| 0
| 1
| 0
|
0
| 4
|
3edd4c90229f28048055a2486e2e015c896bc651
| 364
|
py
|
Python
|
06/01/Calendar/itermonthdays.py
|
pylangstudy/201709
|
53d868786d7327a83bfa7f4149549c6f9855a6c6
|
[
"CC0-1.0"
] | null | null | null |
06/01/Calendar/itermonthdays.py
|
pylangstudy/201709
|
53d868786d7327a83bfa7f4149549c6f9855a6c6
|
[
"CC0-1.0"
] | 32
|
2017-09-01T00:52:17.000Z
|
2017-10-01T00:30:02.000Z
|
06/01/Calendar/itermonthdays.py
|
pylangstudy/201709
|
53d868786d7327a83bfa7f4149549c6f9855a6c6
|
[
"CC0-1.0"
] | null | null | null |
import calendar
#itermonthdaysの戻り値
#書式: d
# d: 指定した月の日付。ただし指定月の前後月の場合は0になる
def itermonthdays(calendar): return calendar.itermonthdays(2017, 9)
for calendar in [calendar.Calendar(firstweekday=0), calendar.Calendar(firstweekday=6)]:
print('-----',calendar,'-----')
print(itermonthdays(calendar))
for weekday in itermonthdays(calendar): print(weekday)
| 30.333333
| 87
| 0.747253
| 39
| 364
| 6.974359
| 0.487179
| 0.231618
| 0.205882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.024691
| 0.10989
| 364
| 11
| 88
| 33.090909
| 0.814815
| 0.148352
| 0
| 0
| 0
| 0
| 0.03268
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.166667
| 0.166667
| 0.333333
| 0.5
| 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
| 0
| 0
| 0
| 1
| 0
| 1
|
0
| 4
|
4110496fd0a140416a35d680cec429d453898be9
| 519
|
py
|
Python
|
Resources/DB/Models/Activity.py
|
annamatveev/redditGoldenContent
|
e1676a031c3549275187c6f7e6d674f309c3bb73
|
[
"MIT"
] | 5
|
2017-11-08T02:52:22.000Z
|
2020-09-29T11:24:05.000Z
|
Resources/DB/Models/Activity.py
|
annamatveev/redditGoldenContent
|
e1676a031c3549275187c6f7e6d674f309c3bb73
|
[
"MIT"
] | 3
|
2017-11-09T20:01:23.000Z
|
2017-11-12T02:44:56.000Z
|
Resources/DB/Models/Activity.py
|
annamatveev/redditGoldenContent
|
e1676a031c3549275187c6f7e6d674f309c3bb73
|
[
"MIT"
] | null | null | null |
from mongoengine import *
class Activity(EmbeddedDocument):
reddit_id = StringField(required=True, max_length=50)
username = StringField(required=True, max_length=50)
link = StringField(required=True, max_length=200)
title = StringField(required=True, max_length=300)
body = StringField(required=True, max_length=10000)
upvotes = IntField(required=True)
match = StringField(required=True, max_length=100)
score = IntField(required=True)
date_created = DateTimeField(required=True)
| 37.071429
| 57
| 0.751445
| 62
| 519
| 6.16129
| 0.467742
| 0.282723
| 0.361257
| 0.408377
| 0.513089
| 0.17801
| 0
| 0
| 0
| 0
| 0
| 0.040724
| 0.148362
| 519
| 13
| 58
| 39.923077
| 0.823529
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.090909
| 0
| 1
| 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
| 0
| 0
| 1
| 0
|
0
| 4
|
f5bdfbcac7968f181c7aedf6b1bd8f853d778eba
| 71
|
py
|
Python
|
4-9 jiexi.py
|
Holaplace/path_to_python
|
8fae2aca8d6da04c39a67514948fdf50e883750a
|
[
"MIT"
] | 1
|
2019-02-06T01:49:18.000Z
|
2019-02-06T01:49:18.000Z
|
4-9 jiexi.py
|
Holaplace/path_to_python
|
8fae2aca8d6da04c39a67514948fdf50e883750a
|
[
"MIT"
] | null | null | null |
4-9 jiexi.py
|
Holaplace/path_to_python
|
8fae2aca8d6da04c39a67514948fdf50e883750a
|
[
"MIT"
] | null | null | null |
lifang_nums = [value ** 3 for value in range(1,11)]
print(lifang_nums)
| 35.5
| 52
| 0.71831
| 13
| 71
| 3.769231
| 0.769231
| 0.408163
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.065574
| 0.140845
| 71
| 2
| 53
| 35.5
| 0.737705
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 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
| 0
| 0
| 0
| 1
|
0
| 4
|
f5f01c0e275f6edca22ec9dc4bc8127baa67a72e
| 143
|
py
|
Python
|
sqlsimple/__init__.py
|
swans-one/sqlsimple
|
2f4eed1cd73d62d30b12f79f086806e14c96c8be
|
[
"MIT"
] | null | null | null |
sqlsimple/__init__.py
|
swans-one/sqlsimple
|
2f4eed1cd73d62d30b12f79f086806e14c96c8be
|
[
"MIT"
] | null | null | null |
sqlsimple/__init__.py
|
swans-one/sqlsimple
|
2f4eed1cd73d62d30b12f79f086806e14c96c8be
|
[
"MIT"
] | null | null | null |
from sqlsimple.operations import (
sql_query,
sql_query_file,
sql_exec,
sql_exec_file
)
from sqlsimple.utils import get_cursor
| 17.875
| 38
| 0.748252
| 20
| 143
| 5
| 0.55
| 0.26
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.202797
| 143
| 7
| 39
| 20.428571
| 0.877193
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.285714
| 0
| 0.285714
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
f5fdb3764eb36ed213bd616d0f032d44f9a2e4d7
| 191
|
py
|
Python
|
brmflask/exts/compress.py
|
BRMWebDev/BRMFlask
|
203031aae8a2d2db3c435bb6b39ccda6a90913a1
|
[
"MIT"
] | 1
|
2016-09-14T19:20:07.000Z
|
2016-09-14T19:20:07.000Z
|
brmflask/exts/compress.py
|
BRMWebDev/BRMFlask
|
203031aae8a2d2db3c435bb6b39ccda6a90913a1
|
[
"MIT"
] | 1
|
2018-06-12T14:06:01.000Z
|
2018-06-12T14:06:01.000Z
|
brmflask/exts/compress.py
|
brmullikin/BRMFlask
|
203031aae8a2d2db3c435bb6b39ccda6a90913a1
|
[
"MIT"
] | null | null | null |
"""Extensions: Call the Flask_Compress plugin."""
from flask_compress import Compress
def register_compress(app):
"""Register the compress extension."""
Compress(app)
return app
| 23.875
| 49
| 0.732984
| 23
| 191
| 5.956522
| 0.565217
| 0.189781
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.162304
| 191
| 7
| 50
| 27.285714
| 0.85625
| 0.397906
| 0
| 0
| 0
| 0
| 0
| 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
|
eb1038275d57823d26960e1e7062f7870014d9fa
| 248
|
py
|
Python
|
skytour/skytour/apps/dso/urls_atlas.py
|
ursomniac/skytour
|
3320d96d7ca41b8f52ede87e7112477902a37a0e
|
[
"MIT"
] | null | null | null |
skytour/skytour/apps/dso/urls_atlas.py
|
ursomniac/skytour
|
3320d96d7ca41b8f52ede87e7112477902a37a0e
|
[
"MIT"
] | 1
|
2022-03-17T01:19:23.000Z
|
2022-03-17T01:19:23.000Z
|
skytour/skytour/apps/dso/urls_atlas.py
|
ursomniac/skytour
|
3320d96d7ca41b8f52ede87e7112477902a37a0e
|
[
"MIT"
] | null | null | null |
from django.urls import path
from .views import AtlasPlateListView, AtlasPlateDetailView
urlpatterns = (
path('', AtlasPlateListView.as_view(), name='atlas-list'),
path('<slug:slug>', AtlasPlateDetailView.as_view(), name='atlas-detail'),
)
| 35.428571
| 77
| 0.741935
| 27
| 248
| 6.740741
| 0.592593
| 0.065934
| 0.10989
| 0.164835
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108871
| 248
| 7
| 78
| 35.428571
| 0.823529
| 0
| 0
| 0
| 0
| 0
| 0.13253
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 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
| 1
| 0
| 0
| 0
|
0
| 4
|
eb381ce1f2dcef2f86fd013d2a2ed80ab878d30c
| 8,435
|
py
|
Python
|
PSEF_SCRIPTS/psef_logic.py
|
snatch2013/XXS_PSEFABRIC
|
a382d28545d3f5dac0403bfeb82ee609d137db24
|
[
"Apache-2.0",
"MIT"
] | null | null | null |
PSEF_SCRIPTS/psef_logic.py
|
snatch2013/XXS_PSEFABRIC
|
a382d28545d3f5dac0403bfeb82ee609d137db24
|
[
"Apache-2.0",
"MIT"
] | null | null | null |
PSEF_SCRIPTS/psef_logic.py
|
snatch2013/XXS_PSEFABRIC
|
a382d28545d3f5dac0403bfeb82ee609d137db24
|
[
"Apache-2.0",
"MIT"
] | null | null | null |
'''
This is essential element of the demultiplexer layes of Psefabric Dataflow Model and one of the key elements of the psefabric concept.
The python dictionaries created here are used in multiplexer.py.
The matter is that depending on the values of the structural elements (for networks in this realization) we have to program a specific set of commands for different MOs.
And we need some algorithm for that. So these dictionaries describe this logic.
We need to program logic for the adding/removal of addresses, address_sets, services, service_sets, policies. So we have:
mult_dict_address()
mult_dict_address_set()
mult_dict_service()
mult_dict_service_set()
mult_dict_policy()
'''
import re
import copy
import host_to_type
def mult_dict_address(ifcfg):
########## Description #######
'''
'''
############# BODY ############
mult = []
if (ifcfg == 'true'):
mult.append({})
mult[0]['eq_addr'] = 'panorama'
mult[0]['eq_parameter'] = 'shared'
mult[0]['cmd'] = {}
mult[0]['cmd']['ad'] = []
mult[0]['cmd']['rm'] = []
mult[0]['cmd']['ad'].append('ptemplates.pan_create_address')
mult[0]['cmd']['rm'].append('ptemplates.pan_delete_address')
return (mult)
def mult_dict_address_set(ifcfg):
########## Description #######
'''
'''
############# BODY ############
mult = []
if (ifcfg == 'true'):
mult.append({})
mult[0]['eq_addr'] = 'panorama'
mult[0]['eq_parameter'] = 'shared'
mult[0]['cmd'] = {}
mult[0]['cmd']['ad'] = []
mult[0]['cmd']['rm'] = []
mult[0]['cmd']['rm'].append('ptemplates.pan_delete_address_set')
mult[0]['cmd']['ad'].append('ptemplates.pan_create_address_set')
return (mult)
def mult_dict_service(ifcfg):
########## Description #######
'''
'''
############# BODY ############
mult=[]
if (ifcfg == 'true'):
mult.append({})
mult[0]['eq_addr'] = 'panorama'
mult[0]['eq_parameter'] = 'shared'
mult[0]['cmd'] = {}
mult[0]['cmd']['rm'] = []
mult[0]['cmd']['ad'] = []
mult[0]['cmd']['rm'].append('ptemplates.pan_delete_service')
mult[0]['cmd']['ad'].append('ptemplates.pan_create_service')
return (mult)
def mult_dict_service_set(ifcfg):
########## Description #######
'''
'''
############# BODY ############
mult=[]
if (ifcfg == 'true'):
mult.append({})
mult[0]['eq_addr'] = 'panorama'
mult[0]['eq_parameter'] = 'shared'
mult[0]['cmd'] = {}
mult[0]['cmd']['rm'] = []
mult[0]['cmd']['ad'] = []
mult[0]['cmd']['rm'].append('ptemplates.pan_delete_service_set')
mult[0]['cmd']['ad'].append('ptemplates.pan_create_service_set')
return (mult)
def mult_dict_application(ifcfg):
########## Description #######
'''
'''
############# BODY ############
mult=[]
if (ifcfg == 'true'):
mult.append({})
mult[0]['eq_addr'] = 'panorama'
mult[0]['eq_parameter'] = 'shared'
mult[0]['cmd'] = {}
mult[0]['cmd']['rm'] = []
mult[0]['cmd']['ad'] = []
return (mult)
def mult_dict_application_set(ifcfg):
########## Description #######
'''
'''
############# BODY ############
mult=[]
if (ifcfg == 'true'):
mult.append({})
mult[0]['eq_addr'] = 'panorama'
mult[0]['eq_parameter'] = 'shared'
mult[0]['cmd'] = {}
mult[0]['cmd']['rm'] = []
mult[0]['cmd']['ad'] = []
mult[0]['cmd']['rm'].append('ptemplates.pan_delete_application_set')
mult[0]['cmd']['ad'].append('ptemplates.pan_create_application_set')
return (mult)
def mult_dict_policy(src_dc, src_area, src_zone, dst_dc, dst_area, dst_zone, service_sets_dict):
########## Description #######
########## End of description #####
map_aci_ = host_to_type.area_to_eq_aci()
mult = []
if (re.match(src_dc, dst_dc)):
same_dc_flag = True
else:
same_dc_flag = False
if (re.match(src_area, dst_area)):
same_area_flag = True
else:
same_area_flag = False
if (re.match(src_zone, dst_zone)):
same_zone_flag = True
else:
same_zone_flag = False
if (same_zone_flag and same_area_flag):
mult = []
mult.append({})
mult[0]['eq_addr'] = map_aci_['dc1'][src_area]
mult[0]['eq_parameter'] = ''
mult[0]['cmd'] = {}
mult[0]['cmd']['ad'] = []
mult[0]['cmd']['rm'] = []
mult[0]['cmd']['rm'].append('acitemplates.aci_delete_policy')
mult[0]['cmd']['ad'].append('acitemplates.aci_create_policy')
mult.append({})
mult[1]['eq_addr'] = map_aci_['dc2'][src_area]
mult[1]['eq_parameter'] = ''
mult[1]['cmd'] = {}
mult[1]['cmd']['ad'] = []
mult[1]['cmd']['rm'] = []
mult[1]['cmd']['rm'].append('acitemplates.aci_delete_policy')
mult[1]['cmd']['ad'].append('acitemplates.aci_create_policy')
if ((not same_zone_flag) and same_area_flag and (re.match(dst_area, 'oss_aa'))):
mult = []
mult.append({})
mult[0]['eq_addr'] = 'panorama'
mult[0]['eq_parameter'] = 'OSS_AA'
mult[0]['cmd'] = {}
mult[0]['cmd']['ad'] = []
mult[0]['cmd']['rm'] = []
mult[0]['cmd']['rm'].append('ptemplates.pan_delete_policy')
mult[0]['cmd']['rm'].append('ptemplates.pan_delete_policy_allapp_dst_oss_transit')
mult[0]['cmd']['rm'].append('ptemplates.pan_delete_policy_src_oss_transit')
mult[0]['cmd']['ad'].append('ptemplates.pan_create_policy')
mult[0]['cmd']['ad'].append('ptemplates.pan_create_policy_allapp_dst_oss_transit')
mult[0]['cmd']['ad'].append('ptemplates.pan_create_policy_src_oss_transit')
if ((not same_zone_flag) and same_area_flag and (re.match(dst_area, 'internal_aa'))):
mult = []
mult.append({})
mult[0]['eq_addr'] = 'panorama'
mult[0]['eq_parameter'] = 'INTERNAL_AA'
mult[0]['cmd'] = {}
mult[0]['cmd']['ad'] = []
mult[0]['cmd']['rm'] = []
mult[0]['cmd']['rm'].append('ptemplates.pan_delete_policy')
mult[0]['cmd']['rm'].append('ptemplates.pan_delete_policy_allapp_dst_inter_area')
mult[0]['cmd']['rm'].append('ptemplates.pan_delete_policy_src_inter_area')
mult[0]['cmd']['ad'].append('ptemplates.pan_create_policy')
mult[0]['cmd']['ad'].append('ptemplates.pan_create_policy_allapp_dst_inter_area')
mult[0]['cmd']['ad'].append('ptemplates.pan_create_policy_src_inter_area')
if ((not same_zone_flag) and (re.match(src_area, 'oss_aa')) and (re.match(dst_area, 'int_aa'))):
mult = []
mult.append({})
mult[0]['eq_addr'] = 'panorama'
mult[0]['eq_parameter'] = 'OSS_AA'
mult[0]['cmd'] = {}
mult[0]['cmd']['ad'] = []
mult[0]['cmd']['rm'] = []
mult[0]['cmd']['rm'].append('ptemplates.pan_delete_policy_allapp_dst_inter_area')
mult[0]['cmd']['ad'].append('ptemplates.pan_create_policy_allapp_dst_inter_area')
mult.append({})
mult[1]['eq_addr'] = 'panorama'
mult[1]['eq_parameter'] = 'INTERNAL_AA'
mult[1]['cmd'] = {}
mult[1]['cmd']['ad'] = []
mult[1]['cmd']['rm'] = []
mult[1]['cmd']['rm'].append('ptemplates.pan_delete_policy_src_inter_area')
mult[1]['cmd']['ad'].append('ptemplates.pan_create_policy_src_inter_area')
if ((not same_zone_flag) and (re.match(src_area, 'int_aa')) and (re.match(dst_area, 'oss_aa'))):
mult = []
mult.append({})
mult[0]['eq_addr'] = 'panorama'
mult[0]['eq_parameter'] = 'INTERNAL_AA'
mult[0]['cmd'] = {}
mult[0]['cmd']['ad'] = []
mult[0]['cmd']['rm'] = []
mult[0]['cmd']['rm'].append('ptemplates.pan_delete_policy_allapp_dst_inter_area')
mult[0]['cmd']['ad'].append('ptemplates.pan_create_policy_allapp_dst_inter_area')
mult.append({})
mult[1]['eq_addr'] = 'panorama'
mult[1]['eq_parameter'] = 'OSS_AA'
mult[1]['cmd'] = {}
mult[1]['cmd']['ad'] = []
mult[1]['cmd']['rm'] = []
mult[1]['cmd']['rm'].append('ptemplates.pan_delete_policy_src_inter_area')
mult[1]['cmd']['ad'].append('ptemplates.pan_create_policy_src_inter_area')
return (mult)
| 33.472222
| 169
| 0.549259
| 1,068
| 8,435
| 4.090824
| 0.106742
| 0.094987
| 0.111696
| 0.057221
| 0.776608
| 0.769055
| 0.715267
| 0.685969
| 0.66949
| 0.611582
| 0
| 0.016129
| 0.220865
| 8,435
| 251
| 170
| 33.605578
| 0.648661
| 0.100178
| 0
| 0.701754
| 0
| 0
| 0.30065
| 0.180058
| 0
| 0
| 0
| 0
| 0
| 1
| 0.040936
| false
| 0
| 0.017544
| 0
| 0.099415
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
eb445c7cf45ef790459b0dd05c5d67767ca0e8ec
| 114
|
py
|
Python
|
src/decomposicion/estereo.py
|
Edilberto-Vazquez/OOP-Python
|
f49f2c1acfd9fdb3a81ab32c390daa637cabf648
|
[
"MIT"
] | null | null | null |
src/decomposicion/estereo.py
|
Edilberto-Vazquez/OOP-Python
|
f49f2c1acfd9fdb3a81ab32c390daa637cabf648
|
[
"MIT"
] | null | null | null |
src/decomposicion/estereo.py
|
Edilberto-Vazquez/OOP-Python
|
f49f2c1acfd9fdb3a81ab32c390daa637cabf648
|
[
"MIT"
] | null | null | null |
class Estereo:
def __init__(self, marca) -> None:
self.marca = marca
self.estado = 'apagado'
| 19
| 38
| 0.587719
| 13
| 114
| 4.846154
| 0.692308
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.298246
| 114
| 5
| 39
| 22.8
| 0.7875
| 0
| 0
| 0
| 0
| 0
| 0.061404
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 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
|
de23fc4c730b89ebafda34e6faecab5478acabc9
| 145
|
py
|
Python
|
utils/__init__.py
|
flywheel-apps/bids-app-template-test
|
0accb81738359f6a7f0974d726a4cbef2b84838d
|
[
"MIT"
] | null | null | null |
utils/__init__.py
|
flywheel-apps/bids-app-template-test
|
0accb81738359f6a7f0974d726a4cbef2b84838d
|
[
"MIT"
] | null | null | null |
utils/__init__.py
|
flywheel-apps/bids-app-template-test
|
0accb81738359f6a7f0974d726a4cbef2b84838d
|
[
"MIT"
] | null | null | null |
# This is a comment to prevent CircleCI from considering the file as empty.
# vi:set autoindent ts=4 sw=4 expandtab : See Vim, :help 'modeline'
| 36.25
| 75
| 0.744828
| 25
| 145
| 4.32
| 0.96
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016807
| 0.17931
| 145
| 3
| 76
| 48.333333
| 0.890756
| 0.958621
| 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
|
de746062392af77e054f1821df8ed6bb5b852200
| 6,430
|
py
|
Python
|
scatter1.py
|
MarionMcG/Python-Project-2018
|
8a3a5bef7c434cdbbd64b94d5419d8744e0d77f1
|
[
"Apache-2.0"
] | 1
|
2018-07-25T12:41:17.000Z
|
2018-07-25T12:41:17.000Z
|
scatter1.py
|
MarionMcG/Python-Project-2018
|
8a3a5bef7c434cdbbd64b94d5419d8744e0d77f1
|
[
"Apache-2.0"
] | null | null | null |
scatter1.py
|
MarionMcG/Python-Project-2018
|
8a3a5bef7c434cdbbd64b94d5419d8744e0d77f1
|
[
"Apache-2.0"
] | 2
|
2018-07-25T12:41:19.000Z
|
2018-07-25T12:41:23.000Z
|
#Marion McGowan, 16/04/2018
#Graphical Analysis of Iris Dataset
#This program geaphs measurements against one another on a scatter graph.
#There are six graphs in totalagainst the Petal Length and Sepal.
#The correlation coefficient, r^2 value, p value and slope of line of best fit are found for each.
import numpy as np
import matplotlib.pyplot as pl
import scipy.stats as stats
data = np.genfromtxt('data/iris-data.csv', delimiter=',')
firstcol = data[:,0]
seccol = data[:,1]
thirdcol= data[:,2]
fourcol= data[:,3]
print()
#Sepal Length vs.Sepal Width
print("Sepal Length vs. Sepal Width")
#Plotting the scatter diagrams
pl.scatter(firstcol, seccol, s = 20, color = 'dimgrey', marker='8')
pl.title('Sepal Length vs. Sepal Width')
pl.xlabel('Sepal Length')
pl.ylabel('Sepal Width')
#Plotting the line of best fit
slope, intercept, r_value, p_value, slope_std_error = stats.linregress(firstcol, seccol)
pl.plot(firstcol, intercept + slope*(firstcol), 'r')
#Determining Correlations, calculating r value, r squared, m(slope) and p value
print ("Slope: " + str(np.round(slope, 4)))
print ("Y-intercept:" + str(intercept))
print('y =','%.2f' %intercept,' + ','%.2f' %slope,' x')
print ("Correlation Coefficient: "+ str(np.round(r_value, 4)))
y=np.round((r_value**2), 4)
print ("R-squared Value: " + str(y))
print ("P Value: " + str(p_value))
z=np.round((p_value), 10)
print ("Rounded P Value: " + str(z))
#Referenes for Scipy.Stats
#I switched from numpy to scipy.stats, because coming from Maths background I find scipy.stats more intuitive.
#https://stackoverflow.com/questions/24130922/how-to-print-equation-of-line-using-scipy-stats]
#https://docs.scipy.org/doc/scipy-0.15.1/reference/generated/scipy.stats.linregress.html
pl.show()
print()
#Petal Length vs. Petal Width
print('Petal Length vs. Petal Width')
#Plotting the scatter diagram
pl.scatter(thirdcol,fourcol, s=20, color='dimgrey', marker = '8')
pl.title('Petal Length vs. Petal Width')
pl.xlabel('Petal Length')
pl.ylabel('Petal Width')
#Plotting the line of best fit
slope, intercept, r_value, p_value, slope_std_error = stats.linregress(thirdcol, fourcol)
pl.plot(thirdcol, intercept + slope*(thirdcol), 'r')
#Determining Correlations: calculating r value, r squared, m(slope) and p value
print ("Slope: " + str(np.round(slope, 4)))
print ("Y-intercept:" + str(intercept))
print('y =','%.2f' %intercept,' + ','%.2f' %slope,' x')
print ("Correlation Coefficient: "+ str(np.round(r_value, 4)))
y=np.round((r_value**2), 4)
print ("R-squared Value: " + str(y))
print ("P Value: " + str(p_value))
z=np.round((p_value), 10)
print ("Rounded P Value: " + str(z))
pl.show()
print()
#Sepal Width vs. Petal Width
print('Sepal Width vs. Petal Width')
pl.scatter(seccol, fourcol, s = 20, color = 'dimgrey', marker = '8')
pl.title('Sepal Width vs.Petal Width')
pl.xlabel('Sepal Width')
pl.ylabel('Petal Width')
#Plotting the line of best fit
slope, intercept, r_value, p_value, slope_std_error = stats.linregress(seccol, fourcol)
pl.plot(seccol, intercept + slope*(seccol), 'r')
#Determining Correlations: calculating r value, r squared, m(slope) and p value
print ("Slope: " + str(np.round(slope, 4)))
print ("Y-intercept:" + str(intercept))
print('y =','%.2f' %intercept,' + ','%.2f' %slope,' x')
print ("Correlation Coefficient: "+ str(np.round(r_value, 4)))
y=np.round((r_value**2), 4)
print ("R-squared Value: " + str(y))
print ("P Value: " + str(p_value))
z=np.round((p_value), 10)
print ("Rounded P Value: " + str(z))
pl.show()
print()
#Sepal Length vs. Petal Length
print('Sepal Length vs. Petal Length')
pl.scatter(firstcol, thirdcol, s = 20, color='dimgrey', marker = '8')
pl.title('Sepal Length vs.Petal Length')
pl.xlabel('Sepal Length')
pl.ylabel('Petal Length')
#Plotting the line of best fit
slope, intercept, r_value, p_value, slope_std_error = stats.linregress(firstcol, thirdcol)
pl.plot(firstcol, intercept + slope*(firstcol), 'r')
#Determining Correlations: calculating r value, r squared, m(slope) and p value
print ("Slope: " + str(np.round(slope, 4)))
print ("Y-intercept:" + str(intercept))
print('y =','%.2f' %intercept,' + ','%.2f' %slope,' x')
print ("Correlation Coefficient: "+ str(np.round(r_value, 4)))
y=np.round((r_value**2), 4)
print ("R-squared Value: " + str(y))
print ("P Value: " + str(p_value))
z=np.round((p_value), 10)
print ("Rounded P Value: " + str(z))
pl.show()
print()
#Sepal Length vs. Petal Width
print('Sepal Length vs. Petal Width')
pl.scatter(firstcol, fourcol, s = 20, color='dimgrey', marker = '8')
pl.title('Sepal Length vs.Petal Width')
pl.xlabel('Sepal Length')
pl.ylabel('Petal Width')
#Plotting the line of best fit
slope, intercept, r_value, p_value, slope_std_error = stats.linregress(firstcol, fourcol)
pl.plot(firstcol, intercept + slope*(firstcol), 'r')
#Determining Correlations: calculating r value, r squared, m(slope) and p value
print ("Slope: " + str(np.round(slope, 4)))
print ("Y-intercept:" + str(intercept))
print('y =','%.2f' %intercept,' + ','%.2f' %slope,' x')
print ("Correlation Coefficient: "+ str(np.round(r_value, 4)))
y=np.round((r_value**2), 4)
print ("R-squared Value: " + str(y))
print ("P Value: " + str(p_value))
z=np.round((p_value), 10)
print ("Rounded P Value: " + str(z))
pl.show()
print()
#Sepal Width vs. Petal Length
print ('Sepal Width vs. Petal Length')
pl.scatter(seccol, thirdcol, s = 20, color='dimgrey', marker = '8')
pl.title('Sepal Width vs.Petal Length')
pl.xlabel('Sepal Width')
pl.ylabel('Petal Length')
#Plotting the line of best fit:
slope, intercept, r_value, p_value, slope_std_error = stats.linregress(seccol, thirdcol)
pl.plot(seccol, intercept + slope*(seccol), 'r')
#Determining Correlations: calculating r value, r squared, m(slope) and p value
print ("Slope: " + str(np.round(slope, 4)))
print ("Y-intercept:" + str(intercept))
print('y =','%.2f' %intercept,' + ','%.2f' %slope,' x')
print ("Correlation Coefficient: "+ str(np.round(r_value, 4)))
y=np.round((r_value**2), 4)
print ("R-squared Value: " + str(y))
print ("P Value: " + str(p_value))
z=np.round((p_value), 10)
print ("Rounded P Value: " + str(z))
pl.show()
print()
#Referred to the following Youtube video when customising my scatter diagrams
#https://www.youtube.com/watch?v=WbTOutpwPHs
#Refered to Mathplotlibs named colors list and markers list
#https://matplotlib.org/examples/color/named_colors.html
#http://sparkandshine.net/en/draw-with-matplotlib-colors-markers-and-line-styles/
| 39.447853
| 110
| 0.703577
| 1,008
| 6,430
| 4.439484
| 0.150794
| 0.049609
| 0.026816
| 0.03486
| 0.745475
| 0.736983
| 0.670615
| 0.647151
| 0.647151
| 0.639106
| 0
| 0.016086
| 0.120218
| 6,430
| 162
| 111
| 39.691358
| 0.774969
| 0.278227
| 0
| 0.700855
| 0
| 0
| 0.252008
| 0
| 0.051282
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.025641
| 0
| 0.025641
| 0.470085
| 0
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| 0
| null | 0
| 0
| 0
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| 1
| 0
| 0
| 0
| 1
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| 0
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| 1
| 0
| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
de7fd4aade1b0d7dd0ab1a526a6116cb21d5bf0e
| 96
|
py
|
Python
|
algorithms-cpp/chapter01/max_sum_rec/rand.py
|
clpsz/algorithms
|
c537c65eea5176f64cb37af674c3f07bc7d47821
|
[
"Apache-2.0"
] | 2
|
2019-08-14T09:32:07.000Z
|
2019-12-22T10:54:35.000Z
|
algorithms-cpp/chapter01/max_sum_rec/rand.py
|
clpsz/algorithms
|
c537c65eea5176f64cb37af674c3f07bc7d47821
|
[
"Apache-2.0"
] | null | null | null |
algorithms-cpp/chapter01/max_sum_rec/rand.py
|
clpsz/algorithms
|
c537c65eea5176f64cb37af674c3f07bc7d47821
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/python
import random
for i in range(0, 1000):
print random.randint(-100, 100)
| 12
| 35
| 0.666667
| 16
| 96
| 4
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.141026
| 0.1875
| 96
| 7
| 36
| 13.714286
| 0.679487
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.333333
| null | null | 0.333333
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
de812774b2b28760ca08db39bb91f588cb68f6ab
| 597
|
py
|
Python
|
source/containers/face-comparison/recognizer/face.py
|
aws-samples/amazon-ipc-ai-saas
|
f412634ab407e54990ec8913146cff53f417453f
|
[
"ECL-2.0",
"Apache-2.0"
] | 7
|
2021-05-07T07:03:11.000Z
|
2022-02-07T02:04:48.000Z
|
source/containers/face-comparison/recognizer/face.py
|
aws-samples/amazon-ipc-ai-saas
|
f412634ab407e54990ec8913146cff53f417453f
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
source/containers/face-comparison/recognizer/face.py
|
aws-samples/amazon-ipc-ai-saas
|
f412634ab407e54990ec8913146cff53f417453f
|
[
"ECL-2.0",
"Apache-2.0"
] | 5
|
2021-05-10T09:57:41.000Z
|
2021-12-08T05:12:12.000Z
|
#!/usr/bin/python3
class Face(object):
def __init__(self, bbox, aligned_face_img, confidence, key_points):
self._bbox = bbox # [x_min, y_min, x_max, y_max]
self._aligned_face_img = aligned_face_img
self._confidence = confidence
self._key_points = key_points
@property
def bbox(self):
return self._bbox
@property
def confidence(self):
return self._confidence
@property
def key_points(self):
return self._key_points
@property
def aligned_face_img(self):
return self._aligned_face_img
| 23.88
| 71
| 0.648241
| 76
| 597
| 4.684211
| 0.276316
| 0.154494
| 0.196629
| 0.101124
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.002294
| 0.269682
| 597
| 24
| 72
| 24.875
| 0.81422
| 0.077052
| 0
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.277778
| false
| 0
| 0
| 0.222222
| 0.555556
| 0
| 0
| 0
| 0
| null | 0
| 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
| 1
| 0
|
0
| 4
|
de8d64236ecae3cab7ff8bffbdb921f75c5233b3
| 121
|
py
|
Python
|
volumetricspy/__init__.py
|
scuervo91/volumetricspy
|
f2ed85628400f22e0dc5ee3871c06851f7bb0264
|
[
"MIT"
] | null | null | null |
volumetricspy/__init__.py
|
scuervo91/volumetricspy
|
f2ed85628400f22e0dc5ee3871c06851f7bb0264
|
[
"MIT"
] | null | null | null |
volumetricspy/__init__.py
|
scuervo91/volumetricspy
|
f2ed85628400f22e0dc5ee3871c06851f7bb0264
|
[
"MIT"
] | null | null | null |
from .volumetrics import Surface, poly_area, SurfaceGroup
from .montecarlo import MonteCarlo, ProbVar
from . import stats
| 40.333333
| 57
| 0.834711
| 15
| 121
| 6.666667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115702
| 121
| 3
| 58
| 40.333333
| 0.934579
| 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
|
de94880ca42b1b33e8c899f2e5d397708f43047e
| 1,155
|
py
|
Python
|
core/migrations/0011_auto_20160214_2146.py
|
wolfskaempf/auto-stundenprotokoll
|
c4d397c3550c382dcb889183e50a6746af1b18f3
|
[
"MIT"
] | null | null | null |
core/migrations/0011_auto_20160214_2146.py
|
wolfskaempf/auto-stundenprotokoll
|
c4d397c3550c382dcb889183e50a6746af1b18f3
|
[
"MIT"
] | null | null | null |
core/migrations/0011_auto_20160214_2146.py
|
wolfskaempf/auto-stundenprotokoll
|
c4d397c3550c382dcb889183e50a6746af1b18f3
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2016-02-14 20:46
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('core', '0010_class_remarks'),
]
operations = [
migrations.RenameField(
model_name='class',
old_name='lastPaid',
new_name='last_paid',
),
migrations.RenameField(
model_name='lesson',
old_name='attendingStudents',
new_name='attending_students',
),
migrations.RenameField(
model_name='lesson',
old_name='inClass',
new_name='in_class',
),
migrations.RenameField(
model_name='student',
old_name='firstName',
new_name='first_name',
),
migrations.RenameField(
model_name='student',
old_name='inClass',
new_name='in_class',
),
migrations.RenameField(
model_name='student',
old_name='lastName',
new_name='last_name',
),
]
| 25.108696
| 45
| 0.538528
| 106
| 1,155
| 5.575472
| 0.433962
| 0.213198
| 0.263959
| 0.304569
| 0.439932
| 0.439932
| 0.439932
| 0.243655
| 0.243655
| 0.243655
| 0
| 0.0253
| 0.349784
| 1,155
| 45
| 46
| 25.666667
| 0.761651
| 0.056277
| 0
| 0.552632
| 1
| 0
| 0.163753
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.052632
| 0
| 0.131579
| 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
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
dea2fa33c82b71dd452f0d722c98e6f81e862124
| 634
|
py
|
Python
|
dataset_generator.py
|
SkirOwen/aie
|
22c64983d53f193e70b045003cc872970ab56804
|
[
"MIT"
] | 2
|
2021-03-24T04:02:32.000Z
|
2021-03-25T16:29:37.000Z
|
dataset_generator.py
|
SkirOwen/aie
|
22c64983d53f193e70b045003cc872970ab56804
|
[
"MIT"
] | 2
|
2021-03-25T16:00:12.000Z
|
2021-04-01T00:40:26.000Z
|
dataset_generator.py
|
SkirOwen/aie
|
22c64983d53f193e70b045003cc872970ab56804
|
[
"MIT"
] | null | null | null |
import os
import sys
import pickle # see if useful
import numpy as np
import cv2
import constants
import video_interpreter as vi
import to_nodes
def generate_ctm_dataset(activity):
# func to extract frames correctly here, should return either frames by frames
# or multiple frames in a convenient data format (more realistic) after a certain
# length of recording (e.g. 30 sec video)
# nodes_extraceted = to_nodes.f2n(*frames) # maybe map(to_nodes.f2n(), frames)??
# save in certain way node_extracted (maybe trough func)
pass
if __name__ == '__main__':
constants.initialize_directories()
| 24.384615
| 87
| 0.733438
| 91
| 634
| 4.923077
| 0.692308
| 0.046875
| 0.044643
| 0.071429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009901
| 0.20347
| 634
| 25
| 88
| 25.36
| 0.877228
| 0.545741
| 0
| 0
| 1
| 0
| 0.028674
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.083333
| false
| 0.083333
| 0.666667
| 0
| 0.75
| 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
| 0
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
deb0cd58114dda62aeafe154cde4f2ea9f43559b
| 334
|
py
|
Python
|
tests/bytecode/mp-tests/if2.py
|
LabAixBidouille/micropython
|
11aa6ba456287d6c80598a7ebbebd2887ce8f5a2
|
[
"MIT"
] | 303
|
2015-07-11T17:12:55.000Z
|
2018-01-08T03:02:37.000Z
|
tests/bytecode/mp-tests/if2.py
|
LabAixBidouille/micropython
|
11aa6ba456287d6c80598a7ebbebd2887ce8f5a2
|
[
"MIT"
] | 13
|
2016-05-12T16:51:22.000Z
|
2018-01-10T22:33:25.000Z
|
tests/bytecode/mp-tests/if2.py
|
LabAixBidouille/micropython
|
11aa6ba456287d6c80598a7ebbebd2887ce8f5a2
|
[
"MIT"
] | 26
|
2018-01-18T09:15:33.000Z
|
2022-02-07T13:09:14.000Z
|
def f(x):
if x:
return
if x:
return
elif y:
return
if x:
return
else:
return
if x:
return
elif y:
return
else:
return
if x:
return
elif y:
return
elif z:
return
else:
return
return None
| 12.37037
| 15
| 0.401198
| 38
| 334
| 3.526316
| 0.263158
| 0.11194
| 0.335821
| 0.447761
| 0.686567
| 0.686567
| 0.686567
| 0.492537
| 0.492537
| 0
| 0
| 0
| 0.553892
| 334
| 26
| 16
| 12.846154
| 0.899329
| 0
| 0
| 0.884615
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.038462
| false
| 0
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
deb58230497b95d8a90944e59b2fc53a935069df
| 62
|
py
|
Python
|
NuO/configParser/__init__.py
|
akshitgrover/NuO
|
d8a67b44aa0985cdb2c29571b9cd6c2e649d4514
|
[
"MIT"
] | null | null | null |
NuO/configParser/__init__.py
|
akshitgrover/NuO
|
d8a67b44aa0985cdb2c29571b9cd6c2e649d4514
|
[
"MIT"
] | 2
|
2018-11-10T21:51:02.000Z
|
2021-03-25T22:17:23.000Z
|
NuO/configParser/__init__.py
|
akshitgrover/NuO
|
d8a67b44aa0985cdb2c29571b9cd6c2e649d4514
|
[
"MIT"
] | null | null | null |
__all__ = ["parse"]
from .parser import parse
parse = parse
| 10.333333
| 25
| 0.693548
| 8
| 62
| 4.875
| 0.625
| 0.512821
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.193548
| 62
| 5
| 26
| 12.4
| 0.78
| 0
| 0
| 0
| 0
| 0
| 0.080645
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 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
|
debe6e8a262865ce2211ac2f56f3b37e2ba49632
| 48
|
py
|
Python
|
tutorial11.py
|
camelCasedAdi/Python-Programming-Tutorials
|
65aa7092a90b3c0cad7b35584714570231305d37
|
[
"MIT"
] | null | null | null |
tutorial11.py
|
camelCasedAdi/Python-Programming-Tutorials
|
65aa7092a90b3c0cad7b35584714570231305d37
|
[
"MIT"
] | null | null | null |
tutorial11.py
|
camelCasedAdi/Python-Programming-Tutorials
|
65aa7092a90b3c0cad7b35584714570231305d37
|
[
"MIT"
] | null | null | null |
color = ('blue', 'red', 'green')
print(color[1])
| 24
| 32
| 0.583333
| 7
| 48
| 4
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.023256
| 0.104167
| 48
| 2
| 33
| 24
| 0.627907
| 0
| 0
| 0
| 0
| 0
| 0.244898
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 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
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
ded315fc3018ed28ee637cff3af744b1de9c542f
| 134
|
py
|
Python
|
setup.py
|
kaustubh-sadekar/dlutils
|
91b98f7701f4d682ae2790e4cf41b9daa5e3cf77
|
[
"MIT"
] | 3
|
2020-03-12T09:21:24.000Z
|
2021-12-27T14:06:20.000Z
|
setup.py
|
kaustubh-sadekar/dlutils
|
91b98f7701f4d682ae2790e4cf41b9daa5e3cf77
|
[
"MIT"
] | null | null | null |
setup.py
|
kaustubh-sadekar/dlutils
|
91b98f7701f4d682ae2790e4cf41b9daa5e3cf77
|
[
"MIT"
] | null | null | null |
import setuptools
setuptools.setup(name = 'kdlutils', packages = ['dlutils/kdlutils'],version = '0.1', author = 'Kaustubh sadekar')
| 26.8
| 113
| 0.716418
| 15
| 134
| 6.4
| 0.866667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016949
| 0.119403
| 134
| 4
| 114
| 33.5
| 0.79661
| 0
| 0
| 0
| 0
| 0
| 0.323308
| 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
|
723e7c45ee91e50da2c858f786ef87e92443d830
| 162
|
py
|
Python
|
code/get_costs.py
|
averagephotographer/regular-cost
|
4ad8f5917d27376958ef4d668f23175be39d16b2
|
[
"MIT"
] | null | null | null |
code/get_costs.py
|
averagephotographer/regular-cost
|
4ad8f5917d27376958ef4d668f23175be39d16b2
|
[
"MIT"
] | null | null | null |
code/get_costs.py
|
averagephotographer/regular-cost
|
4ad8f5917d27376958ef4d668f23175be39d16b2
|
[
"MIT"
] | null | null | null |
# httpx?
import requests
# fn. for requests
# input: url
# output: price for cheapest good the store offers
# get coffee shop name
# get coffee price
| 13.5
| 50
| 0.685185
| 23
| 162
| 4.826087
| 0.782609
| 0.162162
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.253086
| 162
| 11
| 51
| 14.727273
| 0.917355
| 0.746914
| 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
| 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
|
a0d1abd011665f15e9287fcdda2c8d41bd28709a
| 147
|
py
|
Python
|
social_redirects/apps.py
|
JoshZero87/site
|
c8024b805ff5ff0e16f54dce7bf05097fd2f08e0
|
[
"MIT"
] | 4
|
2017-01-29T00:38:41.000Z
|
2019-09-04T14:30:24.000Z
|
social_redirects/apps.py
|
JoshZero87/site
|
c8024b805ff5ff0e16f54dce7bf05097fd2f08e0
|
[
"MIT"
] | 74
|
2017-10-02T04:42:54.000Z
|
2022-01-13T00:44:16.000Z
|
social_redirects/apps.py
|
JoshZero87/site
|
c8024b805ff5ff0e16f54dce7bf05097fd2f08e0
|
[
"MIT"
] | 3
|
2017-03-24T23:26:46.000Z
|
2019-10-21T01:16:03.000Z
|
from __future__ import unicode_literals
from django.apps import AppConfig
class SocialRedirectsConfig(AppConfig):
name = 'social_redirects'
| 18.375
| 39
| 0.816327
| 16
| 147
| 7.125
| 0.8125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136054
| 147
| 7
| 40
| 21
| 0.897638
| 0
| 0
| 0
| 0
| 0
| 0.108844
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 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
|
a0d83a23efbca25ef9096662faf9894e78b81f39
| 1,065
|
py
|
Python
|
Python/DNAToRNAConversion.py
|
mallorysmith64/codewars-solutions
|
f629469755c0aefc9753c2c1ecce2ac50afe04fb
|
[
"MIT"
] | 1
|
2019-11-04T01:42:36.000Z
|
2019-11-04T01:42:36.000Z
|
Python/DNAToRNAConversion.py
|
mallorysmith64/codewars-solutions
|
f629469755c0aefc9753c2c1ecce2ac50afe04fb
|
[
"MIT"
] | null | null | null |
Python/DNAToRNAConversion.py
|
mallorysmith64/codewars-solutions
|
f629469755c0aefc9753c2c1ecce2ac50afe04fb
|
[
"MIT"
] | 1
|
2020-08-08T07:54:04.000Z
|
2020-08-08T07:54:04.000Z
|
# Language: Python
# Level: 8kyu
# Name of Problem: DNA to RNA Conversion
# Instructions: Deoxyribonucleic acid, DNA is the primary information storage molecule in biological systems.
# It is composed of four nucleic acid bases Guanine ('G'), Cytosine ('C'), Adenine ('A'), and Thymine ('T').
# Ribonucleic acid, RNA, is the primary messenger molecule in cells.
# RNA differs slightly from DNA its chemical structure and contains no Thymine.
# In RNA Thymine is replaced by another nucleic acid Uracil ('U').
# Create a function which translates a given DNA string into RNA.
# The input string can be of arbitrary length - in particular, it may be empty.
# All input is guaranteed to be valid, i.e. each input string will only ever consist of 'G', 'C', 'A' and/or 'T'.
# Example:
# DNAtoRNA("GCAT") returns ("GCAU")
# Solution 1:
def DNAtoRNA(dna):
return dna.replace('T', 'U')
# Sample Tests Passed:
# test.assert_equals(DNAtoRNA("TTTT"), "UUUU")
# test.assert_equals(DNAtoRNA("GCAT"), "GCAU")
# test.assert_equals(DNAtoRNA("GACCGCCGCC"), "GACCGCCGCC")
| 42.6
| 113
| 0.723944
| 158
| 1,065
| 4.860759
| 0.620253
| 0.039063
| 0.0625
| 0.09375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.002235
| 0.159624
| 1,065
| 25
| 114
| 42.6
| 0.855866
| 0.913615
| 0
| 0
| 0
| 0
| 0.027027
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
a0e2af4ee1b735dc907a4672e994fc108dcc9bc4
| 67
|
py
|
Python
|
main.py
|
trwstin/genshin_artifact_sim
|
fa564084eff2e27c396bf67cfe7c8de2b1fc2ebc
|
[
"MIT"
] | null | null | null |
main.py
|
trwstin/genshin_artifact_sim
|
fa564084eff2e27c396bf67cfe7c8de2b1fc2ebc
|
[
"MIT"
] | null | null | null |
main.py
|
trwstin/genshin_artifact_sim
|
fa564084eff2e27c396bf67cfe7c8de2b1fc2ebc
|
[
"MIT"
] | null | null | null |
from functions import *
if __name__ == '__main__':
menu()
| 13.4
| 27
| 0.61194
| 7
| 67
| 4.714286
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.268657
| 67
| 4
| 28
| 16.75
| 0.673469
| 0
| 0
| 0
| 0
| 0
| 0.126984
| 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
|
9d2318c1bd44de07a8b48c6fa6b099a21fe1cd12
| 172
|
py
|
Python
|
cosmoboost/__init__.py
|
maamari/CosmoBoost
|
c59a6d4edce2a981f6d3d8a775f656d62b348d47
|
[
"MIT"
] | 1
|
2020-02-21T17:02:43.000Z
|
2020-02-21T17:02:43.000Z
|
cosmoboost/__init__.py
|
maamari/CosmoBoost
|
c59a6d4edce2a981f6d3d8a775f656d62b348d47
|
[
"MIT"
] | 2
|
2019-11-08T23:19:46.000Z
|
2021-10-17T00:12:23.000Z
|
cosmoboost/__init__.py
|
maamari/CosmoBoost
|
c59a6d4edce2a981f6d3d8a775f656d62b348d47
|
[
"MIT"
] | 5
|
2019-10-26T00:13:08.000Z
|
2021-04-02T21:59:29.000Z
|
import os
COSMOBOOST_DIR = os.path.dirname(os.path.realpath(__file__))
#sys.path.insert(0, COSMOBOOST_DIR)
from .blueprints import *
from .lib.MatrixHandler import mL2indx
| 28.666667
| 60
| 0.802326
| 25
| 172
| 5.28
| 0.64
| 0.19697
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012739
| 0.087209
| 172
| 5
| 61
| 34.4
| 0.828025
| 0.197674
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.75
| 0
| 0.75
| 0.25
| 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
|
9d5d768aee2fcbfed9744254534647cd8e3aaf5f
| 66
|
py
|
Python
|
config/apps/customer/__init__.py
|
Steco17/PAYGO-PEG-
|
cd2d0b845de7d3712d915854c491021b1ea76adf
|
[
"MIT"
] | null | null | null |
config/apps/customer/__init__.py
|
Steco17/PAYGO-PEG-
|
cd2d0b845de7d3712d915854c491021b1ea76adf
|
[
"MIT"
] | null | null | null |
config/apps/customer/__init__.py
|
Steco17/PAYGO-PEG-
|
cd2d0b845de7d3712d915854c491021b1ea76adf
|
[
"MIT"
] | null | null | null |
default_app_config = "config.apps.customer.apps.CustomerAppConfig"
| 66
| 66
| 0.863636
| 8
| 66
| 6.875
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.030303
| 66
| 1
| 66
| 66
| 0.859375
| 0
| 0
| 0
| 0
| 0
| 0.641791
| 0.641791
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 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
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
19d6ac1f7da1b13c47ec1a4e09857470a83cf96b
| 119
|
py
|
Python
|
taesko/parachute/pachu/config.py
|
taesko/training-projects
|
638649b0b5987ba971ae5ce1f171642de3cde739
|
[
"Apache-2.0"
] | null | null | null |
taesko/parachute/pachu/config.py
|
taesko/training-projects
|
638649b0b5987ba971ae5ce1f171642de3cde739
|
[
"Apache-2.0"
] | null | null | null |
taesko/parachute/pachu/config.py
|
taesko/training-projects
|
638649b0b5987ba971ae5ce1f171642de3cde739
|
[
"Apache-2.0"
] | null | null | null |
import os
import configparser
config = configparser.ConfigParser()
config.read(os.environ['PARACHUTE_CONFIG_FILE'])
| 14.875
| 48
| 0.806723
| 14
| 119
| 6.714286
| 0.571429
| 0.382979
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.092437
| 119
| 7
| 49
| 17
| 0.87037
| 0
| 0
| 0
| 0
| 0
| 0.177966
| 0.177966
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 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
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
19d951ed61f61bde6707a7eebfbcc80dbd69cbe7
| 156
|
py
|
Python
|
Aulas/Aula06A.py
|
Felix-xilef/Curso-de-Python
|
cdff7c7f3850e6326e274c8c1987b9e1a18ce910
|
[
"MIT"
] | null | null | null |
Aulas/Aula06A.py
|
Felix-xilef/Curso-de-Python
|
cdff7c7f3850e6326e274c8c1987b9e1a18ce910
|
[
"MIT"
] | null | null | null |
Aulas/Aula06A.py
|
Felix-xilef/Curso-de-Python
|
cdff7c7f3850e6326e274c8c1987b9e1a18ce910
|
[
"MIT"
] | null | null | null |
import os
print('1: {}\n1.14: {}\nTrue: {}\nFalse: {}\nHahA: {}\n'.format(type(1), type(1.14), type(True), type(False), type('HahA')))
os.system('pause')
| 26
| 124
| 0.583333
| 25
| 156
| 3.64
| 0.68
| 0.10989
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.056738
| 0.096154
| 156
| 5
| 125
| 31.2
| 0.588652
| 0
| 0
| 0
| 0
| 0
| 0.365385
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0.333333
| 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
|
19dd09a6135bb6417af690beddb32ed9ce01417a
| 60
|
py
|
Python
|
src/tools/robust-activities/src/python/robust_activities/main/__init__.py
|
railtoolkit/OpenLinTim
|
27eba8b6038946ce162e9f7bbc0bd23045029d51
|
[
"MIT"
] | null | null | null |
src/tools/robust-activities/src/python/robust_activities/main/__init__.py
|
railtoolkit/OpenLinTim
|
27eba8b6038946ce162e9f7bbc0bd23045029d51
|
[
"MIT"
] | null | null | null |
src/tools/robust-activities/src/python/robust_activities/main/__init__.py
|
railtoolkit/OpenLinTim
|
27eba8b6038946ce162e9f7bbc0bd23045029d51
|
[
"MIT"
] | null | null | null |
"""
Package containing main files for activity buffering
"""
| 20
| 52
| 0.766667
| 7
| 60
| 6.571429
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 60
| 3
| 53
| 20
| 0.884615
| 0.866667
| 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
|
19e05f85c6810ab84c50a080d8f7242cf42234c4
| 72
|
py
|
Python
|
hacker/challenges/web/visible_ink.py
|
Tenebrar/codebase
|
59c9a35289fb29afedad0e3edd0519b67372ef9f
|
[
"Unlicense"
] | 1
|
2020-04-21T11:39:25.000Z
|
2020-04-21T11:39:25.000Z
|
hacker/challenges/web/visible_ink.py
|
Tenebrar/codebase
|
59c9a35289fb29afedad0e3edd0519b67372ef9f
|
[
"Unlicense"
] | 7
|
2020-02-12T01:08:01.000Z
|
2022-02-10T11:56:56.000Z
|
hacker/challenges/web/visible_ink.py
|
Tenebrar/codebase
|
59c9a35289fb29afedad0e3edd0519b67372ef9f
|
[
"Unlicense"
] | null | null | null |
# Can be found by highlighting, or looking in the source
print('squint')
| 36
| 56
| 0.763889
| 12
| 72
| 4.583333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152778
| 72
| 2
| 57
| 36
| 0.901639
| 0.75
| 0
| 0
| 0
| 0
| 0.352941
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 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
|
19f6eeeb272a4c25fe91506aa0b320a13e742d84
| 399
|
py
|
Python
|
Messaging/Packets/Client/Devices/AnalyticEventMessage.py
|
terexdev/BSDS-V39
|
7deea469fbfbc56c48f8326ba972369679f6b098
|
[
"Apache-2.0"
] | 11
|
2021-11-04T01:49:50.000Z
|
2022-01-31T16:50:47.000Z
|
Messaging/Packets/Client/Devices/AnalyticEventMessage.py
|
terexdev/BSDS-V39
|
7deea469fbfbc56c48f8326ba972369679f6b098
|
[
"Apache-2.0"
] | 6
|
2021-11-04T08:52:01.000Z
|
2021-12-27T02:33:19.000Z
|
Messaging/Packets/Client/Devices/AnalyticEventMessage.py
|
terexdev/BSDS-V39
|
7deea469fbfbc56c48f8326ba972369679f6b098
|
[
"Apache-2.0"
] | 5
|
2021-11-04T02:31:56.000Z
|
2022-03-14T02:04:33.000Z
|
from Logic.Settings.PrintHandler import PrintManager
from Logic.Data.DataManager import Writer
from Logic.Data.DataManager import Reader
class AnalyticEventMessage(Reader):
def __init__(self, client, player, header_bytes):
super().__init__(header_bytes)
self.client = client
self.player = player
def decode(self):
pass
def process(self):
pass
| 23.470588
| 53
| 0.704261
| 46
| 399
| 5.891304
| 0.5
| 0.099631
| 0.095941
| 0.177122
| 0.221402
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.220551
| 399
| 17
| 54
| 23.470588
| 0.871383
| 0
| 0
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.166667
| 0.25
| 0
| 0.583333
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
dfa11028d079a91887230c64f8fe02a2aba5f8f5
| 244
|
py
|
Python
|
app/accounts/views/__init__.py
|
phessabi/eshop
|
6a5352753a0c27f9c3f0eda6eec696f49ef4a8eb
|
[
"Apache-2.0"
] | 1
|
2020-02-04T21:18:31.000Z
|
2020-02-04T21:18:31.000Z
|
app/accounts/views/__init__.py
|
phessabi/eshop
|
6a5352753a0c27f9c3f0eda6eec696f49ef4a8eb
|
[
"Apache-2.0"
] | 12
|
2020-01-01T11:46:33.000Z
|
2022-03-12T00:10:01.000Z
|
app/accounts/views/__init__.py
|
phessabi/eshop
|
6a5352753a0c27f9c3f0eda6eec696f49ef4a8eb
|
[
"Apache-2.0"
] | 1
|
2020-02-18T11:12:48.000Z
|
2020-02-18T11:12:48.000Z
|
from .vendor_profile import CreateVendorViewSet, ListRetrieveVendorViewSet, UpdateRetrieveVendorViewSet
from .buyer_profile import CreateBuyerViewSet, UpdateRetrieveBuyerViewSet
from .user_type import GetTypeView
from .charge import ChargeView
| 48.8
| 103
| 0.893443
| 22
| 244
| 9.772727
| 0.681818
| 0.12093
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.077869
| 244
| 4
| 104
| 61
| 0.955556
| 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
|
dfa1c08d10996470503d42bacac9f2b5d2c3ea41
| 95
|
py
|
Python
|
error.py
|
nirvanasupermind/qlang
|
c3264a343f19af0de1161b006c6ec2ee86e73882
|
[
"MIT"
] | null | null | null |
error.py
|
nirvanasupermind/qlang
|
c3264a343f19af0de1161b006c6ec2ee86e73882
|
[
"MIT"
] | null | null | null |
error.py
|
nirvanasupermind/qlang
|
c3264a343f19af0de1161b006c6ec2ee86e73882
|
[
"MIT"
] | null | null | null |
class Error(SystemExit):
def __init__(self, msg):
super().__init__(f'Error: {msg}')
| 31.666667
| 41
| 0.631579
| 12
| 95
| 4.333333
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.189474
| 95
| 3
| 41
| 31.666667
| 0.675325
| 0
| 0
| 0
| 0
| 0
| 0.125
| 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
|
dfc38c5c7903bf38f66ba70dbeeb2d32654d80e0
| 164
|
py
|
Python
|
python/libraries/fek.py
|
ytchang05/N-lang
|
f626dc939b33941f3c2f23a4d1c523b58c847c15
|
[
"MIT"
] | null | null | null |
python/libraries/fek.py
|
ytchang05/N-lang
|
f626dc939b33941f3c2f23a4d1c523b58c847c15
|
[
"MIT"
] | null | null | null |
python/libraries/fek.py
|
ytchang05/N-lang
|
f626dc939b33941f3c2f23a4d1c523b58c847c15
|
[
"MIT"
] | null | null | null |
import re
from native_types import n_cmd_type
def paer(output):
print(output)
def _values():
return {
"paer": ("str", n_cmd_type.with_typevars(["unit"])),
}
| 14.909091
| 54
| 0.695122
| 25
| 164
| 4.28
| 0.72
| 0.074766
| 0.149533
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.146341
| 164
| 10
| 55
| 16.4
| 0.764286
| 0
| 0
| 0
| 0
| 0
| 0.067073
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.125
| 0.625
| 0.125
| 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
|
dfe035b4f7f7e3f0b0d4147d0a2438cea9b06439
| 29
|
py
|
Python
|
cosmos/preprocess/__init__.py
|
hadarohana/myCosmos
|
6e4682a2af822eb828180658aaa6d3e304cc85bf
|
[
"Apache-2.0"
] | null | null | null |
cosmos/preprocess/__init__.py
|
hadarohana/myCosmos
|
6e4682a2af822eb828180658aaa6d3e304cc85bf
|
[
"Apache-2.0"
] | 5
|
2020-01-28T23:13:10.000Z
|
2022-02-10T00:28:15.000Z
|
cosmos/preprocess/__init__.py
|
hadarohana/myCosmos
|
6e4682a2af822eb828180658aaa6d3e304cc85bf
|
[
"Apache-2.0"
] | 1
|
2021-03-10T19:25:44.000Z
|
2021-03-10T19:25:44.000Z
|
"""
Preprocessing module
"""
| 7.25
| 20
| 0.655172
| 2
| 29
| 9.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.137931
| 29
| 3
| 21
| 9.666667
| 0.76
| 0.689655
| 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
|
dfecf2eb7fb301c1d5884764dcf075a374598231
| 139
|
py
|
Python
|
setup.py
|
wang0324/segmentation
|
bc0d8f89c0e4d56784517ecc3bfce2c95bb539f6
|
[
"Apache-2.0"
] | null | null | null |
setup.py
|
wang0324/segmentation
|
bc0d8f89c0e4d56784517ecc3bfce2c95bb539f6
|
[
"Apache-2.0"
] | null | null | null |
setup.py
|
wang0324/segmentation
|
bc0d8f89c0e4d56784517ecc3bfce2c95bb539f6
|
[
"Apache-2.0"
] | null | null | null |
from setuptools import setup, find_packages
setup(name='segmentation-mibi',
version='0.2.3',
packages=find_packages(),
)
| 23.166667
| 43
| 0.676259
| 17
| 139
| 5.411765
| 0.764706
| 0.26087
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.026786
| 0.194245
| 139
| 5
| 44
| 27.8
| 0.794643
| 0
| 0
| 0
| 0
| 0
| 0.158273
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.2
| 0
| 0.2
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5f09d2f91640d60d73130e7dcfda451335067b71
| 4,182
|
py
|
Python
|
testing_torjan_attacked_or_not.py
|
hasanashik/Common-Trojan-virus-detection-in-Microsoft-Windows-
|
701bba7b959dec1c0b662c0fad0a7b19ba994b9e
|
[
"Unlicense"
] | null | null | null |
testing_torjan_attacked_or_not.py
|
hasanashik/Common-Trojan-virus-detection-in-Microsoft-Windows-
|
701bba7b959dec1c0b662c0fad0a7b19ba994b9e
|
[
"Unlicense"
] | null | null | null |
testing_torjan_attacked_or_not.py
|
hasanashik/Common-Trojan-virus-detection-in-Microsoft-Windows-
|
701bba7b959dec1c0b662c0fad0a7b19ba994b9e
|
[
"Unlicense"
] | null | null | null |
port_list=['1', '2', '20', '21', '22', '23', '25', '30', '31', '41', '48', '50', '58', '59', '79', '80', '711', '81', '99', '110', '113', '119', '121', '123', '133', '137', '137', '138', '139', '142', '146', '146', '170', '334', '411', '420', '451', '455', '456', '513', '555', '605', '666', '667', '669', '692', '777', '808', '911', '999', '1000', '1001', '1010', '1011', '1012', '1015', '1016', '1020', '1024', '1025', '1025', '1035', '1042', '1045', '1049', '1050', '1053', '1054', '1080', '1081', '1082', '1083', '1090', '1095', '1097', '1098', '1099', '1150', '1151', '1170', '1200', '1201', '1207', '1208', '1212', '1234', '1243', '1245', '1255', '1256', '1269', '1272', '1313', '1338', '1349', '1394', '1441', '1492', '1524', '1568', '1600', '1703', '1777', '1807', '1966', '1967', '1969', '1981', '1999', '2000', '2001', '2023', '2080', '2115', '2130', '2140', '2140', '2155', '2255', '2283', '2300', '2311', '2330', '2331', '2332', '2333', '2334', '2335', '2336', '2337', '2338', '2339', '2339', '2345', '2565', '2583', '2600', '2716', '2773', '2774', '2801', '2989', '3000', '3024', '3031', '3128', '3129', '3150', '3150', '3456', '3459', '3700', '3777', '3791', '3801', '4000', '4092', '4242', '4321', '4444', '4567', '4590', '4950', '5000', '5001', '5002', '5010', '5011', '5025', '5031', '5032', '5321', '5333', '5343', '5400', '5401', '5402', '5512', '5534', '5550', '5555', '5556', '5557', '5569', '5637', '5638', '5742', '5760', '5880', '5882', '5882', '5882', '5888', '5889', '5889', '6000', '6000', '6000', '6000', '6661', '6666', '6667', '6669', '6670', '6711', '6710', '6713', '6723', '6771', '6776', '6838', '6883', '6912', '6939', '6969', '6970', '7000', '7001', '7215', '7300', '7301', '7306', '7307', '7308', '7424', '7424', '7597', '7626', '7777', '7789', '7891', '7983', '8080', '8787', '8988', '8989', '9000', '9325', '9400', '9872', '9873', '9874', '9875', '9876', '9878', '9989', '9999', '10000', '10005', '10067', '10085', '10086', '10100', '10101', '10167', '10520', '10528', '10607', '10666', '11000', '11050', '11051', '11223', '12076', '12345', '12346', '12349', '12361', '12362', '12363', '12623', '12624', '12631', '12754', '13000', '13010', '13013', '13014', '13223', '13473', '14500', '14501', '14502', '14503', '15000', '15092', '15104', '15382', '15858', '16484', '16660', '16772', '16959', '16969', '17166', '17300', '17449', '17500', '17569', '17593', '17777', '18753', '19864', '20000', '20001', '20002', '20005', '20023', '20034', '20203', '20331', '20432', '20433', '21544', '21554', '22222', '23005', '23006', '23023', '23030', '23432', '23456', '23476', '23476', '23477', '23777', '24000', '25685', '25686', '25982', '26274', '26681', '27374', '27444', '27573', '27665', '28678', '29104', '29363', '29891', '30000', '30001', '30003', '30029', '30100', '30101', '30102', '30103', '30103', '30133', '30303', '30947', '30999', '31335', '31336', '31337', '31337', '31338', '31338', '31787', '31788', '31789', '31790', '31791', '31792', '32001', '32100', '32418', '33270', '33333', '33577', '33777', '33911', '34324', '34444', '34555', '35555', '37237', '37651', '40412', '40421', '40422', '40423', '40425', '40426', '41337', '41666', '44444', '44575', '47262', '49301', '50130', '50505', '50766', '51966', '52317', '53001', '54283', '54320', '54321', '55165', '55166', '57341', '58339', '60000', '60001', '60068', '60411', '61348', '61466', '61603', '63485', '64101', '65000', '65390', '65421', '65432', '65432', '65534', '65535']
from subprocess import check_output
import re
#check_output("dir D:", shell=True).decode()
output=check_output("netstat -a", shell=True).decode()
ports=list()
f=re.findall(':([0-9][0-9]+)',output)
ports=f
def returnMatches(a,b):
new_list = []
for element in a:
if element in b:
new_list.append(element)
return new_list
#print(port_list)
#print('\n\n\n\n\n\n\nports==========',ports)
final_ports=returnMatches(ports,port_list)
print(final_ports)
from subprocess import check_output
#check_output("dir D:", shell=True).decode()
print(check_output("netstat -aon", shell=True).decode())
print(check_output("netstat -a", shell=True).decode())
| 144.206897
| 3,474
| 0.540411
| 526
| 4,182
| 4.268061
| 0.830798
| 0.034298
| 0.033408
| 0.005345
| 0.106459
| 0.076169
| 0.076169
| 0
| 0
| 0
| 0
| 0.490395
| 0.128647
| 4,182
| 29
| 3,475
| 144.206897
| 0.125686
| 0.034912
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| 1
| 0.055556
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| 0.166667
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| null | 0
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| 0
| 0
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| 0
| 0
|
0
| 4
|
5f1babfeaa215707d37f84a6fbfd72f88443e789
| 382
|
py
|
Python
|
IVTa/2014/SAVCHENKOV_A_M/task_1_28.py
|
YukkaSarasti/pythonintask
|
eadf4245abb65f4400a3bae30a4256b4658e009c
|
[
"Apache-2.0"
] | null | null | null |
IVTa/2014/SAVCHENKOV_A_M/task_1_28.py
|
YukkaSarasti/pythonintask
|
eadf4245abb65f4400a3bae30a4256b4658e009c
|
[
"Apache-2.0"
] | null | null | null |
IVTa/2014/SAVCHENKOV_A_M/task_1_28.py
|
YukkaSarasti/pythonintask
|
eadf4245abb65f4400a3bae30a4256b4658e009c
|
[
"Apache-2.0"
] | null | null | null |
# Задача 1. Вариант 28
# Напишите программу, которая будет сообщать род деятельности и псевдоним под
# которым скрывается Норма Бейкер. После вывода информации программа должна
# дожидаться пока пользователь нажмет Enter для выхода.
print("Норма Бейкер, более известная как Мэрилин Монро - американская \nкиноактриса, певица и секс-символ.")
input("\nНажмите Enter для выхода...")
| 54.571429
| 108
| 0.795812
| 49
| 382
| 6.204082
| 0.877551
| 0.072368
| 0.092105
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0.009091
| 0.136126
| 382
| 7
| 109
| 54.571429
| 0.912121
| 0.589005
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| null | 0
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| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
5f2ae4e48f4b0a702c7c655097b014b282388a58
| 194
|
py
|
Python
|
mrbaviirc/common/compat.py
|
brianvanderburg2/python-mrbaviirc-util
|
693484955e4794eb0305c63d9f42581e3f3e3bd5
|
[
"Apache-2.0"
] | null | null | null |
mrbaviirc/common/compat.py
|
brianvanderburg2/python-mrbaviirc-util
|
693484955e4794eb0305c63d9f42581e3f3e3bd5
|
[
"Apache-2.0"
] | null | null | null |
mrbaviirc/common/compat.py
|
brianvanderburg2/python-mrbaviirc-util
|
693484955e4794eb0305c63d9f42581e3f3e3bd5
|
[
"Apache-2.0"
] | null | null | null |
""" Compatibility related items. """
__author__ = "Brian Allen Vanderburg II"
__copyright__ = "Copyright (C) 2019 Brian Allen Vanderburg II"
__license__ = "Apache License 2.0"
| 32.333333
| 66
| 0.680412
| 21
| 194
| 5.714286
| 0.714286
| 0.166667
| 0.333333
| 0.366667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.039735
| 0.221649
| 194
| 5
| 67
| 38.8
| 0.754967
| 0.14433
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| 0
| 0.550633
| 0
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| 1
| 0
| false
| 0
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| 1
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| 0
| null | 0
| 1
| 1
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
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| 0
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| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5f3189b1f03df9e6f5e9184f40da3b848a9d3471
| 262
|
py
|
Python
|
en/065/python/main.py
|
franciscogomes2020/exercises
|
8b33c4b9349a9331e4002a8225adc2a482c70024
|
[
"MIT"
] | null | null | null |
en/065/python/main.py
|
franciscogomes2020/exercises
|
8b33c4b9349a9331e4002a8225adc2a482c70024
|
[
"MIT"
] | null | null | null |
en/065/python/main.py
|
franciscogomes2020/exercises
|
8b33c4b9349a9331e4002a8225adc2a482c70024
|
[
"MIT"
] | null | null | null |
# Create a program that reads multiple integers from the keyboard. At the end of the run, show the average between all values and which were the highest and lowest values read. The program should ask the user whether or not he wants to continue entering values.
| 131
| 261
| 0.801527
| 46
| 262
| 4.565217
| 0.782609
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.179389
| 262
| 1
| 262
| 262
| 0.976744
| 0.98855
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5f32c6201afaec7136b2c800804abbd873e85804
| 95
|
py
|
Python
|
Hotel/apps/Habitacion/apps.py
|
SebasttianVelez/Hotel-Data-Base
|
921e73c5c4f1b7c4e0541717666d7e6b8c5ec878
|
[
"MIT"
] | 1
|
2019-04-16T08:12:40.000Z
|
2019-04-16T08:12:40.000Z
|
Hotel/apps/Habitacion/apps.py
|
SebasttianVelez/Hotel-Data-Base
|
921e73c5c4f1b7c4e0541717666d7e6b8c5ec878
|
[
"MIT"
] | null | null | null |
Hotel/apps/Habitacion/apps.py
|
SebasttianVelez/Hotel-Data-Base
|
921e73c5c4f1b7c4e0541717666d7e6b8c5ec878
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class HabitacionConfig(AppConfig):
name = 'Habitacion'
| 15.833333
| 34
| 0.768421
| 10
| 95
| 7.3
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 95
| 5
| 35
| 19
| 0.9125
| 0
| 0
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| 0
| 0.105263
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| false
| 0
| 0.333333
| 0
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| 1
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| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a02e340713e6e34d70282ed688fab76ecad6d164
| 163
|
py
|
Python
|
konoha/__init__.py
|
upura/konoha
|
852fc9275ec9cf6d299a3dfc1cfa6ac5eaf166e5
|
[
"MIT"
] | null | null | null |
konoha/__init__.py
|
upura/konoha
|
852fc9275ec9cf6d299a3dfc1cfa6ac5eaf166e5
|
[
"MIT"
] | null | null | null |
konoha/__init__.py
|
upura/konoha
|
852fc9275ec9cf6d299a3dfc1cfa6ac5eaf166e5
|
[
"MIT"
] | null | null | null |
"""__init__.py."""
from konoha.sentence_tokenizer import SentenceTokenizer # NOQA
from konoha.word_tokenizer import WordTokenizer # NOQA
__version__ = "4.5.0"
| 23.285714
| 63
| 0.773006
| 20
| 163
| 5.8
| 0.75
| 0.172414
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020979
| 0.122699
| 163
| 6
| 64
| 27.166667
| 0.79021
| 0.141104
| 0
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| 0.037594
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| false
| 0
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| 1
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a032dfcf7c720ae045e3c03cdf1c76d1dc76ac8b
| 85
|
py
|
Python
|
morad/apps.py
|
MoradAlkhatib/djangoX
|
98759b6ad7931f7af78c892725ea147eeee0a529
|
[
"MIT"
] | null | null | null |
morad/apps.py
|
MoradAlkhatib/djangoX
|
98759b6ad7931f7af78c892725ea147eeee0a529
|
[
"MIT"
] | null | null | null |
morad/apps.py
|
MoradAlkhatib/djangoX
|
98759b6ad7931f7af78c892725ea147eeee0a529
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class MoradConfig(AppConfig):
name = 'morad'
| 14.166667
| 33
| 0.741176
| 10
| 85
| 6.3
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.176471
| 85
| 5
| 34
| 17
| 0.9
| 0
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| 0.058824
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| false
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| 0.333333
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| null | 0
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| 1
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a0338f0c09090a3240814d054ada747eaaf43737
| 215
|
py
|
Python
|
setup.py
|
cfelton/parallella_elink
|
ccd2e7d49cca6cf10ed327aadad2d096e38121eb
|
[
"MIT"
] | null | null | null |
setup.py
|
cfelton/parallella_elink
|
ccd2e7d49cca6cf10ed327aadad2d096e38121eb
|
[
"MIT"
] | null | null | null |
setup.py
|
cfelton/parallella_elink
|
ccd2e7d49cca6cf10ed327aadad2d096e38121eb
|
[
"MIT"
] | null | null | null |
from setuptools import setup
from setuptools import find_packages
setup(name = 'elink',
version = '0.1pre',
description = 'parallella elink',
license = 'TBD',
packages = find_packages(),
)
| 19.545455
| 39
| 0.655814
| 23
| 215
| 6.043478
| 0.652174
| 0.201439
| 0.28777
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012195
| 0.237209
| 215
| 11
| 40
| 19.545455
| 0.835366
| 0
| 0
| 0
| 0
| 0
| 0.140187
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.25
| 0
| 0.25
| 0
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| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a0422d00abfd6e5b722b4a7821bdc7ecf7830db2
| 169
|
py
|
Python
|
accounts/apps.py
|
mgovoni-devel/MatD3
|
5b68d147f886bce427f92bb560159e62cec2d4e7
|
[
"BSD-2-Clause-FreeBSD"
] | 7
|
2019-09-14T07:24:09.000Z
|
2021-06-15T16:15:05.000Z
|
accounts/apps.py
|
mgovoni-devel/MatD3
|
5b68d147f886bce427f92bb560159e62cec2d4e7
|
[
"BSD-2-Clause-FreeBSD"
] | 14
|
2019-12-05T01:49:19.000Z
|
2021-06-23T18:34:51.000Z
|
accounts/apps.py
|
mgovoni-devel/MatD3
|
5b68d147f886bce427f92bb560159e62cec2d4e7
|
[
"BSD-2-Clause-FreeBSD"
] | 2
|
2019-11-06T21:16:57.000Z
|
2019-11-30T10:51:44.000Z
|
# This file is covered by the BSD license. See LICENSE in the root directory.
from django.apps import AppConfig
class AccountsConfig(AppConfig):
name = 'accounts'
| 24.142857
| 77
| 0.763314
| 24
| 169
| 5.375
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177515
| 169
| 6
| 78
| 28.166667
| 0.928058
| 0.443787
| 0
| 0
| 0
| 0
| 0.086957
| 0
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| 0
| 0
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| 0
| false
| 0
| 0.333333
| 0
| 1
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| 1
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| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a08a9f3b13565a39c17c4743c3d7cb578ef3056d
| 82
|
py
|
Python
|
Aula 11/Aula11.py
|
Katakhan/TrabalhosPython2
|
ab47af0ff3c00922857578e58a1a149d9e65e229
|
[
"MIT"
] | null | null | null |
Aula 11/Aula11.py
|
Katakhan/TrabalhosPython2
|
ab47af0ff3c00922857578e58a1a149d9e65e229
|
[
"MIT"
] | null | null | null |
Aula 11/Aula11.py
|
Katakhan/TrabalhosPython2
|
ab47af0ff3c00922857578e58a1a149d9e65e229
|
[
"MIT"
] | null | null | null |
def invest(investimento,mes,taxa):
r = investimento*(1+taxa)**64
return r
| 20.5
| 34
| 0.670732
| 12
| 82
| 4.583333
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.044776
| 0.182927
| 82
| 3
| 35
| 27.333333
| 0.776119
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 0
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| 0
| null | 0
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| 0
| 0
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| 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
|
2623125217dee69151205ec7d8f7ccb8459a5b03
| 65
|
py
|
Python
|
tests/__init__.py
|
przemekkot/python_happy_repo
|
29355a43d6c5d722b2b1eb5820ce56bdda1eccf8
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
przemekkot/python_happy_repo
|
29355a43d6c5d722b2b1eb5820ce56bdda1eccf8
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
przemekkot/python_happy_repo
|
29355a43d6c5d722b2b1eb5820ce56bdda1eccf8
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""Unit test package for happy_repo."""
| 16.25
| 39
| 0.584615
| 9
| 65
| 4.111111
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018519
| 0.169231
| 65
| 3
| 40
| 21.666667
| 0.666667
| 0.861538
| 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
|
266286508a18621f5c3ecfc580a9ec53f5ce835c
| 1,840
|
py
|
Python
|
src/immutable_data_validation/errors.py
|
CuriBio/immutable-data-validation
|
2d919e213b5090d44b96aaaa5c0ad87a04e57e4c
|
[
"MIT"
] | null | null | null |
src/immutable_data_validation/errors.py
|
CuriBio/immutable-data-validation
|
2d919e213b5090d44b96aaaa5c0ad87a04e57e4c
|
[
"MIT"
] | 27
|
2020-08-05T17:43:47.000Z
|
2022-03-30T14:04:14.000Z
|
src/immutable_data_validation/errors.py
|
CuriBio/immutable-data-validation
|
2d919e213b5090d44b96aaaa5c0ad87a04e57e4c
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""Generic errors for immutable data validation."""
class ImmutableDataValidationError(Exception):
def __init__(self, msg: str = None, append_text: str = None):
if append_text is not None:
msg = "%s %s" % (msg, append_text)
super().__init__(msg)
class ImmutableDataValidationValueError(ImmutableDataValidationError, ValueError):
pass
class ImmutableDataValidationTypeError(ImmutableDataValidationError, TypeError):
pass
class WrappedValidationCollectionError(ImmutableDataValidationError):
pass
class MissingTimezoneError(ImmutableDataValidationValueError):
pass
class TimezoneNotUtcError(ImmutableDataValidationValueError):
pass
class MicrosecondsInSqlTimeError(ImmutableDataValidationValueError):
pass
# wrapped errors for validation_collection
class WrapperValidationCollectionError(ImmutableDataValidationError):
pass
class ValidationCollectionEmptyValueError(
ImmutableDataValidationValueError, WrapperValidationCollectionError
):
pass
class ValidationCollectionMinimumLengthError(
ImmutableDataValidationValueError, WrapperValidationCollectionError
):
pass
class ValidationCollectionMaximumLengthError(
ImmutableDataValidationValueError, WrapperValidationCollectionError
):
pass
class ValidationCollectionCannotCoerceError(
ImmutableDataValidationTypeError, WrapperValidationCollectionError
):
pass
class ValidationCollectionNotAnIntegerError(
ImmutableDataValidationValueError, WrapperValidationCollectionError
):
pass
class ValidationCollectionMinimumValueError(
ImmutableDataValidationValueError, WrapperValidationCollectionError
):
pass
class ValidationCollectionMaximumValueError(
ImmutableDataValidationValueError, WrapperValidationCollectionError
):
pass
| 22.168675
| 82
| 0.810326
| 107
| 1,840
| 13.82243
| 0.411215
| 0.073022
| 0.279919
| 0.250169
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.000631
| 0.138043
| 1,840
| 82
| 83
| 22.439024
| 0.931904
| 0.059239
| 0
| 0.574468
| 0
| 0
| 0.0029
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.021277
| false
| 0.297872
| 0
| 0
| 0.340426
| 0
| 0
| 0
| 1
| 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
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
13fa69c335a52b1f49a6904b68620dd57112decc
| 184
|
py
|
Python
|
froide/account/apps.py
|
ashmpace/question-mtl
|
5ce1289cd6db0e629aa138d2dee235d9a4c4546b
|
[
"MIT"
] | null | null | null |
froide/account/apps.py
|
ashmpace/question-mtl
|
5ce1289cd6db0e629aa138d2dee235d9a4c4546b
|
[
"MIT"
] | 3
|
2020-02-11T21:43:56.000Z
|
2021-11-15T17:47:06.000Z
|
froide/account/apps.py
|
ashmpace/question-mtl
|
5ce1289cd6db0e629aa138d2dee235d9a4c4546b
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
from django.utils.translation import ugettext_lazy as _
class AccountConfig(AppConfig):
name = 'froide.account'
verbose_name = _("Account")
| 23
| 55
| 0.766304
| 22
| 184
| 6.227273
| 0.727273
| 0.145985
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152174
| 184
| 7
| 56
| 26.285714
| 0.878205
| 0
| 0
| 0
| 0
| 0
| 0.11413
| 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
|
cd05f64e9eaa2e643db1c6c267fc6c6bbcb3a3a8
| 137
|
py
|
Python
|
odym/__init__.py
|
jayarehart/ODYM
|
187b91b6e1b91db12b52c7181285b9119a9c8efb
|
[
"MIT"
] | null | null | null |
odym/__init__.py
|
jayarehart/ODYM
|
187b91b6e1b91db12b52c7181285b9119a9c8efb
|
[
"MIT"
] | null | null | null |
odym/__init__.py
|
jayarehart/ODYM
|
187b91b6e1b91db12b52c7181285b9119a9c8efb
|
[
"MIT"
] | null | null | null |
# from .ODYM_Classes import ODYM_Classes
# from .ODYM_Functions import ODYM_Functions
from .dynamic_stock_model import DynamicStockModel
| 34.25
| 50
| 0.861314
| 18
| 137
| 6.222222
| 0.5
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.10219
| 137
| 3
| 51
| 45.666667
| 0.910569
| 0.591241
| 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
|
cd5b1f6020886eff31f61755d7f40b7994e74976
| 140
|
py
|
Python
|
djangoapp_cloudedbats_bat_activity/apps.py
|
cloudedbats/cloudedbats_web_archive
|
39e571aa88efd149fd07b4ecc33207af44276c9b
|
[
"MIT"
] | null | null | null |
djangoapp_cloudedbats_bat_activity/apps.py
|
cloudedbats/cloudedbats_web_archive
|
39e571aa88efd149fd07b4ecc33207af44276c9b
|
[
"MIT"
] | null | null | null |
djangoapp_cloudedbats_bat_activity/apps.py
|
cloudedbats/cloudedbats_web_archive
|
39e571aa88efd149fd07b4ecc33207af44276c9b
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class DjangoappCloudedbatsBatActivityConfig(AppConfig):
name = 'djangoapp_cloudedbats_bat_activity'
| 23.333333
| 55
| 0.842857
| 13
| 140
| 8.846154
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.107143
| 140
| 5
| 56
| 28
| 0.92
| 0
| 0
| 0
| 0
| 0
| 0.242857
| 0.242857
| 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
|
26bd2148585b0aeaf0f1f6700c6ab8343df2e30a
| 62
|
py
|
Python
|
ibus_sphotik.py
|
titonbarua/sphotik
|
3f457418fc164855a05356a6328fa4a19d2bd968
|
[
"BSD-2-Clause"
] | 8
|
2018-10-18T06:02:38.000Z
|
2021-11-29T08:52:25.000Z
|
ibus_sphotik.py
|
titonbarua/sphotik
|
3f457418fc164855a05356a6328fa4a19d2bd968
|
[
"BSD-2-Clause"
] | 1
|
2020-08-18T12:06:57.000Z
|
2020-08-18T16:26:58.000Z
|
ibus_sphotik.py
|
titonbarua/sphotik
|
3f457418fc164855a05356a6328fa4a19d2bd968
|
[
"BSD-2-Clause"
] | 1
|
2019-02-03T06:59:45.000Z
|
2019-02-03T06:59:45.000Z
|
#!/usr/bin/env python3
from sphotik.engine import main
main()
| 15.5
| 31
| 0.758065
| 10
| 62
| 4.7
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018182
| 0.112903
| 62
| 3
| 32
| 20.666667
| 0.836364
| 0.33871
| 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
|
26c7385ed2d9be1c180cabbe66f89b1ea2e21ea6
| 387
|
py
|
Python
|
d4data/data_access/base.py
|
kforti/D4Data
|
e531f115877b751da0543004630dfe54c3ad0bc5
|
[
"Apache-2.0"
] | 2
|
2020-09-05T21:49:24.000Z
|
2020-11-28T17:00:58.000Z
|
d4data/data_access/base.py
|
kforti/D4Data
|
e531f115877b751da0543004630dfe54c3ad0bc5
|
[
"Apache-2.0"
] | null | null | null |
d4data/data_access/base.py
|
kforti/D4Data
|
e531f115877b751da0543004630dfe54c3ad0bc5
|
[
"Apache-2.0"
] | null | null | null |
from abc import abstractmethod, ABC
class BaseDataAccess(ABC):
@abstractmethod
def read(self, name):
raise NotImplemented
@abstractmethod
def update(self, name, data):
raise NotImplemented
@abstractmethod
def put(self, name, data):
raise NotImplemented
@abstractmethod
def delete(self, name):
raise NotImplemented
| 16.125
| 35
| 0.658915
| 38
| 387
| 6.710526
| 0.421053
| 0.266667
| 0.388235
| 0.423529
| 0.376471
| 0.376471
| 0.376471
| 0
| 0
| 0
| 0
| 0
| 0.273902
| 387
| 23
| 36
| 16.826087
| 0.907473
| 0
| 0
| 0.571429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.071429
| 0
| 0.428571
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
26dcb79605dae5ea61aaa7182e90030c5519adb9
| 1,375
|
py
|
Python
|
pyvect/prod.py
|
ToastCoder/vectoralg
|
66dc9f00f9d153747db948d3f738010c55264c68
|
[
"MIT"
] | 2
|
2020-09-20T07:31:56.000Z
|
2020-10-24T10:27:13.000Z
|
pyvect/prod.py
|
ToastCoder/vectoralg
|
66dc9f00f9d153747db948d3f738010c55264c68
|
[
"MIT"
] | 2
|
2020-09-09T12:52:08.000Z
|
2020-09-18T16:08:00.000Z
|
pyvect/prod.py
|
ToastCoder/vectoralg
|
66dc9f00f9d153747db948d3f738010c55264c68
|
[
"MIT"
] | null | null | null |
# SUBMODULE FOR VECTOR PRODUCT AND SCALAR PRODUCT RELATED FUNCTIONS
# TO USE THE FUNCTIONS IN THIS SUBMODULES:
# >>> pyvect.prod
# IMPORTING REQUIRED MODULES
from . import __init__
from .__init__ import *
# FUNCTIONS
# s3() - Returns the scalar triple product of the given three vectors.
# Syntax: pyvect.prod.s3(vector_1,vector_2,vector_3)
# vector_1 - First vector , vector_2 - Second vector , vector_3 - Third vector
# Return type: int
def s3(x,y,z):
return (dot(cross(x,y),z))
# s4() - Returns the scalar product of the given four vectors.
# Syntax: pyvect.prod.s4(vector_1,vector_2,vector_3,vector_4)
# vector_1 - First vector , vector_2 - Second vector , vector_3 - Third vector , vector_4 - Fourth vector
# Return type: int
def s4(w,x,y,z):
return dot(cross(w,x),cross(y,z))
# v3() - Returns the vector triple product of the given three vectors.
# Syntax: pyvect.prod.v3(vector_1,vector_2,vector_3)
# vector_1 - First vector , vector_2 - Second vector , vector_3 - Third vector
# Return type: array
def v3(x,y,z):
return cross(cross(x,y),z)
# v4() - Returns the vector product of the given four vectors.
# Syntax: pyvect.prod.v4(vector_1,vector_2,vector_3,vector_4)
# vector_1 - First vector , vector_2 - Second vector , vector_3 - Third vector , vector_4 - Fourth vector
# Return type: array
def v4(w,x,y,z):
return cross(cross(w,x),cross(y,z))
| 36.184211
| 105
| 0.725091
| 232
| 1,375
| 4.142241
| 0.228448
| 0.12487
| 0.01873
| 0.07076
| 0.734651
| 0.703434
| 0.609781
| 0.609781
| 0.609781
| 0.51821
| 0
| 0.034662
| 0.160727
| 1,375
| 38
| 106
| 36.184211
| 0.798094
| 0.781818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0.2
| 0.4
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 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
|
26dcd0ba5188788ed798ba0125d0eb3aab49ac5d
| 51
|
py
|
Python
|
run_tests.py
|
DavHau/FlowUtils
|
c221a8d2ab5ecd09e340183b17d710c157109589
|
[
"BSD-3-Clause"
] | 10
|
2018-12-04T18:33:57.000Z
|
2022-03-26T17:00:20.000Z
|
run_tests.py
|
DavHau/FlowUtils
|
c221a8d2ab5ecd09e340183b17d710c157109589
|
[
"BSD-3-Clause"
] | 8
|
2015-05-16T19:17:47.000Z
|
2022-03-21T14:49:24.000Z
|
run_tests.py
|
DavHau/FlowUtils
|
c221a8d2ab5ecd09e340183b17d710c157109589
|
[
"BSD-3-Clause"
] | 5
|
2019-03-15T01:11:36.000Z
|
2021-05-14T09:21:26.000Z
|
import unittest
unittest.main('flowutils.tests')
| 10.2
| 32
| 0.784314
| 6
| 51
| 6.666667
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.098039
| 51
| 4
| 33
| 12.75
| 0.869565
| 0
| 0
| 0
| 0
| 0
| 0.294118
| 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
|
26de7469c5f096a4a77d29cd48728b7adc965bb4
| 136
|
py
|
Python
|
train.py
|
BonjourGit/nlc2cmd-submission-hubris
|
7928f75ad212295c732dbd4e42ce4eba378d2509
|
[
"MIT"
] | 7
|
2020-12-01T16:13:59.000Z
|
2022-01-01T18:02:22.000Z
|
train.py
|
BonjourGit/nlc2cmd-submission-hubris
|
7928f75ad212295c732dbd4e42ce4eba378d2509
|
[
"MIT"
] | 1
|
2020-12-22T02:15:13.000Z
|
2021-01-05T14:14:30.000Z
|
train.py
|
BonjourGit/nlc2cmd-submission-hubris
|
7928f75ad212295c732dbd4e42ce4eba378d2509
|
[
"MIT"
] | 2
|
2021-01-05T03:16:06.000Z
|
2021-01-14T05:06:31.000Z
|
# Copyright 2020 Nokia
# Licensed under the MIT License.
# SPDX-License-Identifier: MIT
from src.tune import experiments
experiments()
| 19.428571
| 33
| 0.786765
| 18
| 136
| 5.944444
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.034188
| 0.139706
| 136
| 7
| 34
| 19.428571
| 0.880342
| 0.595588
| 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
|
26f169a9dd466e184532fa5b4a8e9a88fd38cc10
| 767
|
py
|
Python
|
contrib/cookiecutter/ckan_extension/{{cookiecutter.project}}/ckanext/{{cookiecutter.project_shortname}}/logic/action.py
|
gg2/ckan
|
d61a533cc330b6050f4957573f58ec912695ed0a
|
[
"BSD-3-Clause"
] | 2,805
|
2015-01-02T18:13:15.000Z
|
2022-03-31T03:35:01.000Z
|
contrib/cookiecutter/ckan_extension/{{cookiecutter.project}}/ckanext/{{cookiecutter.project_shortname}}/logic/action.py
|
gg2/ckan
|
d61a533cc330b6050f4957573f58ec912695ed0a
|
[
"BSD-3-Clause"
] | 3,801
|
2015-01-02T11:05:36.000Z
|
2022-03-31T19:24:37.000Z
|
contrib/cookiecutter/ckan_extension/{{cookiecutter.project}}/ckanext/{{cookiecutter.project_shortname}}/logic/action.py
|
gg2/ckan
|
d61a533cc330b6050f4957573f58ec912695ed0a
|
[
"BSD-3-Clause"
] | 1,689
|
2015-01-02T19:46:43.000Z
|
2022-03-28T14:59:43.000Z
|
import ckan.plugins.toolkit as tk
import ckanext.{{cookiecutter.project_shortname}}.logic.schema as schema
@tk.side_effect_free
def {{cookiecutter.project_shortname}}_get_sum(context, data_dict):
tk.check_access(
"{{cookiecutter.project_shortname}}_get_sum", context, data_dict)
data, errors = tk.navl_validate(
data_dict, schema.{{
cookiecutter.project_shortname}}_get_sum(), context)
if errors:
raise tk.ValidationError(errors)
return {
"left": data["left"],
"right": data["right"],
"sum": data["left"] + data["right"]
}
def get_actions():
return {
'{{cookiecutter.project_shortname}}_get_sum': {{
cookiecutter.project_shortname
}}_get_sum,
}
| 26.448276
| 73
| 0.646675
| 85
| 767
| 5.552941
| 0.388235
| 0.241525
| 0.355932
| 0.32839
| 0.438559
| 0.294492
| 0.207627
| 0.207627
| 0
| 0
| 0
| 0
| 0.221643
| 767
| 28
| 74
| 27.392857
| 0.79062
| 0
| 0
| 0.090909
| 0
| 0
| 0.148631
| 0.109518
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.090909
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
f87bd92a3963911beb53b0fb57dc0fc34b35099e
| 329
|
py
|
Python
|
State.py
|
webfraggle/TrinkeyOnlineMeetingMute
|
5296d0373014f6ec40ad977f82c31b6ef8071d78
|
[
"MIT"
] | 1
|
2021-12-27T11:01:28.000Z
|
2021-12-27T11:01:28.000Z
|
State.py
|
webfraggle/TrinkeyOnlineMeetingMute
|
5296d0373014f6ec40ad977f82c31b6ef8071d78
|
[
"MIT"
] | null | null | null |
State.py
|
webfraggle/TrinkeyOnlineMeetingMute
|
5296d0373014f6ec40ad977f82c31b6ef8071d78
|
[
"MIT"
] | null | null | null |
class State:
def __init__(self):
self.pixel = None
self.keyboard = None
self.keyboard_layout = None
pass
def start(self):
pass
def end(self):
pass
def onTick(self):
pass
def onButtonPress(self):
pass
def onButtonRelease(self):
pass
| 14.954545
| 35
| 0.541033
| 36
| 329
| 4.805556
| 0.416667
| 0.202312
| 0.254335
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.382979
| 329
| 21
| 36
| 15.666667
| 0.852217
| 0
| 0
| 0.375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.375
| false
| 0.375
| 0
| 0
| 0.4375
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
f893a6c17f477677fd5dac31d3cfa002ab823266
| 101
|
py
|
Python
|
open/core/betterself/models/__init__.py
|
lawrendran/open
|
d136f694bafab647722c78be6f39ec79d589f774
|
[
"MIT"
] | 105
|
2019-06-01T08:34:47.000Z
|
2022-03-15T11:48:36.000Z
|
open/core/betterself/models/__init__.py
|
lawrendran/open
|
d136f694bafab647722c78be6f39ec79d589f774
|
[
"MIT"
] | 111
|
2019-06-04T15:34:14.000Z
|
2022-03-12T21:03:20.000Z
|
open/core/betterself/models/__init__.py
|
lawrendran/open
|
d136f694bafab647722c78be6f39ec79d589f774
|
[
"MIT"
] | 26
|
2019-09-04T06:06:12.000Z
|
2022-01-03T03:40:11.000Z
|
from open.utilities.importing_models import import_submodules
__all__ = import_submodules(__name__)
| 25.25
| 61
| 0.871287
| 12
| 101
| 6.416667
| 0.75
| 0.415584
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.079208
| 101
| 3
| 62
| 33.666667
| 0.827957
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 1
| 0
| 1
| 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
|
f8b9d179374e6b988ce47e878e774082c0267d02
| 521
|
py
|
Python
|
compass/tasks/client.py
|
huawei-cloud/compass
|
1f09b2d270917ffcc3829e533dd90c04ef664ff6
|
[
"Apache-2.0"
] | 2
|
2015-12-07T06:47:16.000Z
|
2016-01-18T05:27:52.000Z
|
compass/tasks/client.py
|
SysCompass/compass-core
|
b04d02ae97d6fbeea9a6c42c6d368778c371ccde
|
[
"Apache-2.0"
] | 1
|
2016-03-17T17:36:56.000Z
|
2016-03-17T17:36:56.000Z
|
compass/tasks/client.py
|
SysCompass/compass-core
|
b04d02ae97d6fbeea9a6c42c6d368778c371ccde
|
[
"Apache-2.0"
] | 4
|
2016-06-13T17:19:14.000Z
|
2018-09-10T03:11:51.000Z
|
"""Module to setup celery client.
.. moduleauthor:: Xiaodong Wang <xiaodongwang@huawei.com>
.. note::
If CELERY_CONFIG_MODULE is set in environment, load celery config from
the filename declared in CELERY_CONFIG_MODULE.
"""
import os
from celery import Celery
celery = Celery(__name__)
if 'CELERY_CONFIG_MODULE' in os.environ:
celery.config_from_envvar('CELERY_CONFIG_MODULE')
else:
from compass.utils import celeryconfig_wrapper as celeryconfig
celery.config_from_object(celeryconfig)
| 26.05
| 76
| 0.763916
| 68
| 521
| 5.602941
| 0.514706
| 0.220472
| 0.188976
| 0.104987
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.163148
| 521
| 19
| 77
| 27.421053
| 0.873853
| 0.429942
| 0
| 0
| 0
| 0
| 0.143885
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.125
| 0.375
| 0
| 0.375
| 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
| 0
| 1
| 1
| 0
| 0
| 0
|
0
| 4
|
f8c8ef83ebc72a4b4bb878a1581f1a889d521c64
| 69
|
py
|
Python
|
enthought/kiva/fonttools/fontTools/misc/textTools.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 3
|
2016-12-09T06:05:18.000Z
|
2018-03-01T13:00:29.000Z
|
enthought/kiva/fonttools/fontTools/misc/textTools.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 1
|
2020-12-02T00:51:32.000Z
|
2020-12-02T08:48:55.000Z
|
enthought/kiva/fonttools/fontTools/misc/textTools.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | null | null | null |
# proxy module
from kiva.fonttools.fontTools.misc.textTools import *
| 23
| 53
| 0.811594
| 9
| 69
| 6.222222
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.101449
| 69
| 2
| 54
| 34.5
| 0.903226
| 0.173913
| 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
|
3e0257e4b792fa050adc966d522bb219f9d719a3
| 242
|
py
|
Python
|
theproject/urlexample/urls.py
|
racs93/Django_proyects
|
b2200d4b60a11b331c89925e1cbc5f6d6c9df3b5
|
[
"bzip2-1.0.6"
] | null | null | null |
theproject/urlexample/urls.py
|
racs93/Django_proyects
|
b2200d4b60a11b331c89925e1cbc5f6d6c9df3b5
|
[
"bzip2-1.0.6"
] | null | null | null |
theproject/urlexample/urls.py
|
racs93/Django_proyects
|
b2200d4b60a11b331c89925e1cbc5f6d6c9df3b5
|
[
"bzip2-1.0.6"
] | null | null | null |
from django.urls import path
from . import views
urlpatterns = [
path('profile/28/', views.profile),
path('profile/<int:username>/', views.profile),
path('profile/<slug:article_value>/', views.article),
path('profile/', views.profile)
]
| 24.2
| 54
| 0.710744
| 31
| 242
| 5.516129
| 0.451613
| 0.25731
| 0.187135
| 0.269006
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009217
| 0.103306
| 242
| 9
| 55
| 26.888889
| 0.778802
| 0
| 0
| 0
| 0
| 0
| 0.293388
| 0.214876
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 0
| 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
|
3e14a7ebf9a128a9e727d92e9b4b8e26932b5939
| 15,834
|
py
|
Python
|
tests/test_main.py
|
xiachufang/importanize
|
594e33b7827a9619c15aaacbe03b8cdf42a5c7a0
|
[
"MIT"
] | null | null | null |
tests/test_main.py
|
xiachufang/importanize
|
594e33b7827a9619c15aaacbe03b8cdf42a5c7a0
|
[
"MIT"
] | null | null | null |
tests/test_main.py
|
xiachufang/importanize
|
594e33b7827a9619c15aaacbe03b8cdf42a5c7a0
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from __future__ import absolute_import, print_function, unicode_literals
import json
import sys
import unittest
from copy import deepcopy
import mock
import six
from pathlib2 import Path
from importanize import __version__
from importanize.__main__ import (
CIFailure,
Config,
main,
run,
run_importanize_on_text,
)
from importanize.config import IMPORTANIZE_JSON_CONFIG, PEP8_CONFIG
from importanize.utils import force_text
TESTING_MODULE = "importanize.__main__"
CONFIG = PEP8_CONFIG.copy()
CONFIG["add_imports"] = [
"from __future__ import absolute_import, print_function, unicode_literals"
]
def consume(i):
for _ in i:
pass
class TestMain(unittest.TestCase):
maxDiff = None
test_data = Path(__file__).parent / "test_data"
input_text = (test_data / "input.py").read_text()
output_grouped = (test_data / "output_grouped.py").read_text()
output_grouped_single_line = (
test_data / "output_grouped_single_line.py"
).read_text()
output_inline_grouped = (test_data / "output_inline_grouped.py").read_text()
output_lines = (test_data / "output_lines.py").read_text()
input_no_imports = (test_data / "input_no_imports.py").read_text()
output_no_imports = (test_data / "output_no_imports.py").read_text()
def test_run_importanize_no_imports(self):
actual = run_importanize_on_text(
self.input_no_imports,
CONFIG,
mock.Mock(
formatter="grouped",
ci=False,
subconfig=False,
length=None,
list=False,
),
)
self.assertEqual(actual, self.output_no_imports)
def test_run_importanize_on_text_grouped(self):
actual = run_importanize_on_text(
self.input_text,
CONFIG,
mock.Mock(
formatter="grouped",
ci=False,
subconfig=False,
length=None,
list=False,
),
)
self.assertEqual(actual, self.output_grouped)
def test_run_importanize_on_text_inline_grouped(self):
actual = run_importanize_on_text(
self.input_text,
CONFIG,
mock.Mock(
formatter="inline-grouped",
ci=False,
subconfig=False,
length=None,
list=False,
),
)
self.assertEqual(actual, self.output_inline_grouped)
def test_run_importanize_on_text_lines(self):
actual = run_importanize_on_text(
self.input_text,
CONFIG,
mock.Mock(
formatter="lines",
ci=False,
subconfig=False,
length=None,
list=False,
),
)
self.assertEqual(actual, self.output_lines)
def test_run_importanize_on_text_ci_failed(self):
with self.assertRaises(CIFailure):
run_importanize_on_text(
self.input_text,
CONFIG,
mock.Mock(
formatter="grouped",
ci=True,
subconfig=False,
length=None,
list=False,
),
)
def test_run_importanize_on_text_ci_passed(self):
actual = run_importanize_on_text(
self.output_grouped,
CONFIG,
mock.Mock(
formatter="grouped",
ci=True,
subconfig=False,
length=None,
list=False,
),
)
self.assertEqual(actual, self.output_grouped)
@mock.patch.object(Path, "write_text")
def test_run_text_to_file_organized(self, mock_write_text):
actual = next(
run(
self.input_text,
CONFIG,
mock.Mock(
formatter="grouped",
ci=False,
print=False,
subconfig=False,
length=None,
list=False,
),
Path(__file__),
)
)
self.assertEqual(actual, self.output_grouped)
mock_write_text.assert_called_once_with(self.output_grouped)
@mock.patch.object(Path, "write_text")
def test_run_text_to_file_nothing_to_do(self, mock_write_text):
actual = next(
run(
self.output_grouped,
CONFIG,
mock.Mock(
formatter="grouped",
ci=False,
print=False,
subconfig=False,
length=None,
list=False,
),
Path(__file__),
)
)
self.assertEqual(actual, self.output_grouped)
mock_write_text.assert_not_called()
@mock.patch(TESTING_MODULE + ".print", create=True)
def test_run_text_print(self, mock_print):
actual = next(
run(
self.input_text,
CONFIG,
mock.Mock(
formatter="grouped",
ci=False,
print=True,
header=True,
subconfig=False,
length=None,
list=False,
),
Path("foo"),
)
)
self.assertEqual(actual, self.output_grouped)
mock_print.assert_has_calls(
[
mock.call("==="),
mock.call("foo"),
mock.call("---"),
mock.call(self.output_grouped),
]
)
@mock.patch(TESTING_MODULE + ".print", create=True)
def test_run_text_print_no_file(self, mock_print):
actual = next(
run(
self.input_text,
CONFIG,
mock.Mock(
formatter="grouped",
ci=False,
print=True,
header=True,
subconfig=False,
length=None,
list=False,
),
)
)
self.assertEqual(actual, self.output_grouped)
mock_print.assert_has_calls([mock.call(self.output_grouped)])
@mock.patch(TESTING_MODULE + ".print", create=True)
def test_run_text_print_no_header(self, mock_print):
actual = next(
run(
self.input_text,
CONFIG,
mock.Mock(
formatter="grouped",
ci=False,
print=True,
header=False,
subconfig=False,
length=None,
list=False,
),
Path("foo"),
)
)
self.assertEqual(actual, self.output_grouped)
mock_print.assert_has_calls([mock.call(self.output_grouped)])
@mock.patch(TESTING_MODULE + ".print", create=True)
def test_run_file_skipped(self, mock_print):
config = deepcopy(CONFIG)
config["exclude"] = ["*/test_data/*.py"]
consume(
run(
self.test_data / "input.py",
Config(config),
mock.Mock(
formatter="grouped",
ci=False,
print=True,
header=False,
subconfig=False,
length=None,
list=False,
),
)
)
mock_print.assert_not_called()
@mock.patch(TESTING_MODULE + ".print", create=True)
def test_run_file(self, mock_print):
actual = next(
run(
self.test_data / "input.py",
Config(CONFIG),
mock.Mock(
formatter="grouped",
ci=False,
print=True,
header=False,
subconfig=False,
length=None,
list=False,
),
)
)
self.assertEqual(actual, self.output_grouped)
mock_print.assert_called_once_with(self.output_grouped)
@mock.patch(TESTING_MODULE + ".print", create=True)
def test_run_dir(self, mock_print):
consume(
run(
self.test_data,
Config(CONFIG),
mock.Mock(
formatter="grouped",
ci=False,
print=True,
header=False,
subconfig=False,
length=None,
list=False,
),
)
)
mock_print.assert_has_calls([mock.call(self.output_grouped)])
@mock.patch(TESTING_MODULE + ".print", create=True)
def test_run_dir_subconfig_invalid(self, mock_print):
config_file = self.test_data / IMPORTANIZE_JSON_CONFIG
config_file.write_text("invalid json")
try:
consume(
run(
self.test_data,
Config(CONFIG),
mock.Mock(
formatter="grouped",
ci=False,
print=True,
header=False,
subconfig=True,
length=None,
list=False,
),
)
)
mock_print.assert_has_calls([mock.call(self.output_grouped)])
finally:
config_file.unlink()
@mock.patch(TESTING_MODULE + ".print", create=True)
def test_run_dir_subconfig_valid(self, mock_print):
config = deepcopy(CONFIG)
config["after_imports_new_lines"] = 1
config_file = self.test_data / IMPORTANIZE_JSON_CONFIG
config_file.write_text(force_text(json.dumps(config)))
try:
consume(
run(
self.test_data,
Config(CONFIG),
mock.Mock(
formatter="grouped",
ci=False,
print=True,
header=False,
subconfig=True,
length=None,
list=False,
),
)
)
mock_print.assert_has_calls(
[mock.call(self.output_grouped_single_line)]
)
finally:
config_file.unlink()
@mock.patch(TESTING_MODULE + ".print", create=True)
def test_run_dir_skipped(self, mock_print):
config = deepcopy(CONFIG)
config["exclude"] = ["*/test_data"]
consume(
run(
self.test_data,
Config(config),
mock.Mock(
formatter="grouped",
ci=False,
print=True,
header=False,
subconfig=False,
length=None,
list=False,
),
)
)
mock_print.assert_not_called()
@mock.patch(TESTING_MODULE + ".print", create=True)
def test_run_dir_ci(self, mock_print):
with self.assertRaises(CIFailure):
consume(
run(
self.test_data,
Config(CONFIG),
mock.Mock(
formatter="grouped",
ci=True,
print=True,
header=False,
subconfig=False,
length=None,
list=False,
),
)
)
def test_main_python_version(self):
self.assertEqual(
main(["--py={}".format(3 - sys.version_info.major % 2)]), 0
)
@mock.patch(TESTING_MODULE + ".print", create=True)
def test_main_version(self, mock_print):
self.assertEqual(main(["--version"]), 0)
self.assertEqual(mock_print.call_count, 1)
version = mock_print.mock_calls[0][1][0]
self.assertIn("version: {}".format(__version__), version)
@mock.patch(TESTING_MODULE + ".S_ISFIFO", mock.Mock(return_value=False))
@mock.patch(TESTING_MODULE + ".print", create=True)
def test_main_list(self, mock_print):
actual = main(
[
six.text_type(self.test_data / "input_few_imports.py"),
"--config",
six.text_type(self.test_data / "config.json"),
"--list",
]
)
self.assertEqual(actual, 0)
mock_print.assert_has_calls(
[
mock.call("stdlib"),
mock.call("------"),
mock.call("from __future__ import unicode_literals"),
mock.call("import datetime as mydatetime"),
mock.call(),
mock.call("sitepackages"),
mock.call("------------"),
mock.call("import flake8 as lint"),
mock.call(),
mock.call("remainder"),
mock.call("---------"),
mock.call("import z"),
mock.call("from a import b"),
mock.call("from a.b import d"),
mock.call(),
mock.call("local"),
mock.call("-----"),
mock.call("from .module import bar, foo"),
]
)
@mock.patch(TESTING_MODULE + ".S_ISFIFO", mock.Mock(return_value=True))
@mock.patch(TESTING_MODULE + ".print", create=True)
@mock.patch.object(sys, "stdin")
def test_main_piped(self, mock_stdin, mock_print):
mock_stdin.read.return_value = self.input_text
actual = main(["--length", "80"])
self.assertEqual(actual, 0)
mock_print.assert_called_once_with(self.output_grouped)
@mock.patch(TESTING_MODULE + ".S_ISFIFO", mock.Mock(return_value=False))
@mock.patch(TESTING_MODULE + ".print", create=True)
def test_main_not_piped(self, mock_print):
actual = main(
[
six.text_type(self.test_data / "input.py"),
"--config",
six.text_type(self.test_data / "config.json"),
"--print",
"--no-header",
]
)
self.assertEqual(actual, 0)
mock_print.assert_called_once_with(self.output_grouped)
@mock.patch(TESTING_MODULE + ".S_ISFIFO", mock.Mock(return_value=False))
@mock.patch(TESTING_MODULE + ".print", create=True)
def test_main_not_piped_ci(self, mock_print):
actual = main(
[
six.text_type(self.test_data / "input.py"),
"--config",
six.text_type(self.test_data / "config.json"),
"--ci",
]
)
self.assertEqual(actual, 1)
@mock.patch(TESTING_MODULE + ".S_ISFIFO", mock.Mock(return_value=False))
@mock.patch(TESTING_MODULE + ".print", create=True)
@mock.patch(TESTING_MODULE + ".run")
def test_main_not_piped_exception(self, mock_run, mock_print):
mock_run.side_effect = ValueError
actual = main(
[
six.text_type(self.test_data / "input.py"),
"--config",
six.text_type(self.test_data / "config.json"),
"--ci",
]
)
self.assertEqual(actual, 1)
| 30.102662
| 80
| 0.487243
| 1,485
| 15,834
| 4.919865
| 0.094276
| 0.036956
| 0.04818
| 0.066247
| 0.778812
| 0.745825
| 0.74213
| 0.709554
| 0.692171
| 0.662195
| 0
| 0.002258
| 0.41253
| 15,834
| 525
| 81
| 30.16
| 0.783165
| 0.001326
| 0
| 0.643326
| 0
| 0
| 0.067168
| 0.004807
| 0
| 0
| 0
| 0
| 0.078775
| 1
| 0.056893
| false
| 0.004376
| 0.094092
| 0
| 0.172867
| 0.133479
| 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
|
3e1d95281c58420a80cf5f29be0eb254c01e8cd1
| 53
|
py
|
Python
|
tests/__init__.py
|
agcooke/Python-Wave-Forecast
|
adaf4788da06143aa8b1ab4908e542cbb44073e8
|
[
"BSD-3-Clause"
] | 4
|
2017-09-21T07:59:43.000Z
|
2021-07-12T16:19:36.000Z
|
tests/__init__.py
|
agcooke/Python-Wave-Forecast
|
adaf4788da06143aa8b1ab4908e542cbb44073e8
|
[
"BSD-3-Clause"
] | null | null | null |
tests/__init__.py
|
agcooke/Python-Wave-Forecast
|
adaf4788da06143aa8b1ab4908e542cbb44073e8
|
[
"BSD-3-Clause"
] | 1
|
2018-04-09T19:51:47.000Z
|
2018-04-09T19:51:47.000Z
|
__author__="cooke"
__date__ ="$27-Nov-2011 11:42:22$"
| 26.5
| 34
| 0.716981
| 9
| 53
| 3.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.24
| 0.056604
| 53
| 2
| 34
| 26.5
| 0.36
| 0
| 0
| 0
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
3e4117e4756dec5fadcb1fb30a2c930fe4e72336
| 14,054
|
py
|
Python
|
nova/tests/unit/virt/hyperv/test_imagecache.py
|
bopopescu/nova-token
|
ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2
|
[
"Apache-2.0"
] | null | null | null |
nova/tests/unit/virt/hyperv/test_imagecache.py
|
bopopescu/nova-token
|
ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2
|
[
"Apache-2.0"
] | null | null | null |
nova/tests/unit/virt/hyperv/test_imagecache.py
|
bopopescu/nova-token
|
ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2
|
[
"Apache-2.0"
] | 2
|
2017-07-20T17:31:34.000Z
|
2020-07-24T02:42:19.000Z
|
begin_unit
comment|'# Copyright 2014 Cloudbase Solutions Srl'
nl|'\n'
comment|'# All Rights Reserved.'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may'
nl|'\n'
comment|'# not use this file except in compliance with the License. You may obtain'
nl|'\n'
comment|'# a copy of the License at'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# http://www.apache.org/licenses/LICENSE-2.0'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Unless required by applicable law or agreed to in writing, software'
nl|'\n'
comment|'# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT'
nl|'\n'
comment|'# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the'
nl|'\n'
comment|'# License for the specific language governing permissions and limitations'
nl|'\n'
comment|'# under the License.'
nl|'\n'
nl|'\n'
name|'import'
name|'os'
newline|'\n'
nl|'\n'
name|'import'
name|'mock'
newline|'\n'
name|'from'
name|'oslo_config'
name|'import'
name|'cfg'
newline|'\n'
name|'from'
name|'oslo_utils'
name|'import'
name|'units'
newline|'\n'
nl|'\n'
name|'from'
name|'nova'
name|'import'
name|'exception'
newline|'\n'
name|'from'
name|'nova'
name|'import'
name|'objects'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'tests'
op|'.'
name|'unit'
name|'import'
name|'fake_instance'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'tests'
op|'.'
name|'unit'
op|'.'
name|'objects'
name|'import'
name|'test_flavor'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'tests'
op|'.'
name|'unit'
op|'.'
name|'virt'
op|'.'
name|'hyperv'
name|'import'
name|'test_base'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'virt'
op|'.'
name|'hyperv'
name|'import'
name|'constants'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'virt'
op|'.'
name|'hyperv'
name|'import'
name|'imagecache'
newline|'\n'
nl|'\n'
DECL|variable|CONF
name|'CONF'
op|'='
name|'cfg'
op|'.'
name|'CONF'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|class|ImageCacheTestCase
name|'class'
name|'ImageCacheTestCase'
op|'('
name|'test_base'
op|'.'
name|'HyperVBaseTestCase'
op|')'
op|':'
newline|'\n'
indent|' '
string|'"""Unit tests for the Hyper-V ImageCache class."""'
newline|'\n'
nl|'\n'
DECL|variable|FAKE_BASE_DIR
name|'FAKE_BASE_DIR'
op|'='
string|"'fake/base/dir'"
newline|'\n'
DECL|variable|FAKE_FORMAT
name|'FAKE_FORMAT'
op|'='
string|"'fake_format'"
newline|'\n'
DECL|variable|FAKE_IMAGE_REF
name|'FAKE_IMAGE_REF'
op|'='
string|"'fake_image_ref'"
newline|'\n'
DECL|variable|FAKE_VHD_SIZE_GB
name|'FAKE_VHD_SIZE_GB'
op|'='
number|'1'
newline|'\n'
nl|'\n'
DECL|member|setUp
name|'def'
name|'setUp'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'super'
op|'('
name|'ImageCacheTestCase'
op|','
name|'self'
op|')'
op|'.'
name|'setUp'
op|'('
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'context'
op|'='
string|"'fake-context'"
newline|'\n'
name|'self'
op|'.'
name|'instance'
op|'='
name|'fake_instance'
op|'.'
name|'fake_instance_obj'
op|'('
name|'self'
op|'.'
name|'context'
op|')'
newline|'\n'
nl|'\n'
comment|'# utilsfactory will check the host OS version via get_hostutils,'
nl|'\n'
comment|'# in order to return the proper Utils Class, so it must be mocked.'
nl|'\n'
name|'patched_get_hostutils'
op|'='
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'imagecache'
op|'.'
name|'utilsfactory'
op|','
nl|'\n'
string|'"get_hostutils"'
op|')'
newline|'\n'
name|'patched_get_vhdutils'
op|'='
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'imagecache'
op|'.'
name|'utilsfactory'
op|','
nl|'\n'
string|'"get_vhdutils"'
op|')'
newline|'\n'
name|'patched_get_hostutils'
op|'.'
name|'start'
op|'('
op|')'
newline|'\n'
name|'patched_get_vhdutils'
op|'.'
name|'start'
op|'('
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'addCleanup'
op|'('
name|'patched_get_hostutils'
op|'.'
name|'stop'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'addCleanup'
op|'('
name|'patched_get_vhdutils'
op|'.'
name|'stop'
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'imagecache'
op|'='
name|'imagecache'
op|'.'
name|'ImageCache'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'_pathutils'
op|'='
name|'mock'
op|'.'
name|'MagicMock'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'_vhdutils'
op|'='
name|'mock'
op|'.'
name|'MagicMock'
op|'('
op|')'
newline|'\n'
nl|'\n'
DECL|member|_test_get_root_vhd_size_gb
dedent|''
name|'def'
name|'_test_get_root_vhd_size_gb'
op|'('
name|'self'
op|','
name|'old_flavor'
op|'='
name|'True'
op|')'
op|':'
newline|'\n'
indent|' '
name|'if'
name|'old_flavor'
op|':'
newline|'\n'
indent|' '
name|'mock_flavor'
op|'='
name|'objects'
op|'.'
name|'Flavor'
op|'('
op|'**'
name|'test_flavor'
op|'.'
name|'fake_flavor'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'instance'
op|'.'
name|'old_flavor'
op|'='
name|'mock_flavor'
newline|'\n'
dedent|''
name|'else'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'instance'
op|'.'
name|'old_flavor'
op|'='
name|'None'
newline|'\n'
dedent|''
name|'return'
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'_get_root_vhd_size_gb'
op|'('
name|'self'
op|'.'
name|'instance'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_get_root_vhd_size_gb_old_flavor
dedent|''
name|'def'
name|'test_get_root_vhd_size_gb_old_flavor'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'ret_val'
op|'='
name|'self'
op|'.'
name|'_test_get_root_vhd_size_gb'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'test_flavor'
op|'.'
name|'fake_flavor'
op|'['
string|"'root_gb'"
op|']'
op|','
name|'ret_val'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_get_root_vhd_size_gb
dedent|''
name|'def'
name|'test_get_root_vhd_size_gb'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'ret_val'
op|'='
name|'self'
op|'.'
name|'_test_get_root_vhd_size_gb'
op|'('
name|'old_flavor'
op|'='
name|'False'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'self'
op|'.'
name|'instance'
op|'.'
name|'root_gb'
op|','
name|'ret_val'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'imagecache'
op|'.'
name|'ImageCache'
op|','
string|"'_get_root_vhd_size_gb'"
op|')'
newline|'\n'
DECL|member|test_resize_and_cache_vhd_smaller
name|'def'
name|'test_resize_and_cache_vhd_smaller'
op|'('
name|'self'
op|','
name|'mock_get_vhd_size_gb'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'_vhdutils'
op|'.'
name|'get_vhd_size'
op|'.'
name|'return_value'
op|'='
op|'{'
nl|'\n'
string|"'VirtualSize'"
op|':'
op|'('
name|'self'
op|'.'
name|'FAKE_VHD_SIZE_GB'
op|'+'
number|'1'
op|')'
op|'*'
name|'units'
op|'.'
name|'Gi'
nl|'\n'
op|'}'
newline|'\n'
name|'mock_get_vhd_size_gb'
op|'.'
name|'return_value'
op|'='
name|'self'
op|'.'
name|'FAKE_VHD_SIZE_GB'
newline|'\n'
name|'mock_internal_vhd_size'
op|'='
op|'('
nl|'\n'
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'_vhdutils'
op|'.'
name|'get_internal_vhd_size_by_file_size'
op|')'
newline|'\n'
name|'mock_internal_vhd_size'
op|'.'
name|'return_value'
op|'='
name|'self'
op|'.'
name|'FAKE_VHD_SIZE_GB'
op|'*'
name|'units'
op|'.'
name|'Gi'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'assertRaises'
op|'('
name|'exception'
op|'.'
name|'FlavorDiskSmallerThanImage'
op|','
nl|'\n'
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'_resize_and_cache_vhd'
op|','
nl|'\n'
name|'mock'
op|'.'
name|'sentinel'
op|'.'
name|'instance'
op|','
nl|'\n'
name|'mock'
op|'.'
name|'sentinel'
op|'.'
name|'vhd_path'
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'_vhdutils'
op|'.'
name|'get_vhd_size'
op|'.'
name|'assert_called_once_with'
op|'('
nl|'\n'
name|'mock'
op|'.'
name|'sentinel'
op|'.'
name|'vhd_path'
op|')'
newline|'\n'
name|'mock_get_vhd_size_gb'
op|'.'
name|'assert_called_once_with'
op|'('
name|'mock'
op|'.'
name|'sentinel'
op|'.'
name|'instance'
op|')'
newline|'\n'
name|'mock_internal_vhd_size'
op|'.'
name|'assert_called_once_with'
op|'('
nl|'\n'
name|'mock'
op|'.'
name|'sentinel'
op|'.'
name|'vhd_path'
op|','
name|'self'
op|'.'
name|'FAKE_VHD_SIZE_GB'
op|'*'
name|'units'
op|'.'
name|'Gi'
op|')'
newline|'\n'
nl|'\n'
DECL|member|_prepare_get_cached_image
dedent|''
name|'def'
name|'_prepare_get_cached_image'
op|'('
name|'self'
op|','
name|'path_exists'
op|','
name|'use_cow'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'instance'
op|'.'
name|'image_ref'
op|'='
name|'self'
op|'.'
name|'FAKE_IMAGE_REF'
newline|'\n'
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'_pathutils'
op|'.'
name|'get_base_vhd_dir'
op|'.'
name|'return_value'
op|'='
op|'('
nl|'\n'
name|'self'
op|'.'
name|'FAKE_BASE_DIR'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'_pathutils'
op|'.'
name|'exists'
op|'.'
name|'return_value'
op|'='
name|'path_exists'
newline|'\n'
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'_vhdutils'
op|'.'
name|'get_vhd_format'
op|'.'
name|'return_value'
op|'='
op|'('
nl|'\n'
name|'constants'
op|'.'
name|'DISK_FORMAT_VHD'
op|')'
newline|'\n'
nl|'\n'
name|'CONF'
op|'.'
name|'set_override'
op|'('
string|"'use_cow_images'"
op|','
name|'use_cow'
op|')'
newline|'\n'
nl|'\n'
name|'expected_path'
op|'='
name|'os'
op|'.'
name|'path'
op|'.'
name|'join'
op|'('
name|'self'
op|'.'
name|'FAKE_BASE_DIR'
op|','
nl|'\n'
name|'self'
op|'.'
name|'FAKE_IMAGE_REF'
op|')'
newline|'\n'
name|'expected_vhd_path'
op|'='
string|'"%s.%s"'
op|'%'
op|'('
name|'expected_path'
op|','
nl|'\n'
name|'constants'
op|'.'
name|'DISK_FORMAT_VHD'
op|'.'
name|'lower'
op|'('
op|')'
op|')'
newline|'\n'
name|'return'
op|'('
name|'expected_path'
op|','
name|'expected_vhd_path'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'imagecache'
op|'.'
name|'images'
op|','
string|"'fetch'"
op|')'
newline|'\n'
DECL|member|test_get_cached_image_with_fetch
name|'def'
name|'test_get_cached_image_with_fetch'
op|'('
name|'self'
op|','
name|'mock_fetch'
op|')'
op|':'
newline|'\n'
indent|' '
op|'('
name|'expected_path'
op|','
nl|'\n'
name|'expected_vhd_path'
op|')'
op|'='
name|'self'
op|'.'
name|'_prepare_get_cached_image'
op|'('
name|'False'
op|','
name|'False'
op|')'
newline|'\n'
nl|'\n'
name|'result'
op|'='
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'get_cached_image'
op|'('
name|'self'
op|'.'
name|'context'
op|','
name|'self'
op|'.'
name|'instance'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'expected_vhd_path'
op|','
name|'result'
op|')'
newline|'\n'
nl|'\n'
name|'mock_fetch'
op|'.'
name|'assert_called_once_with'
op|'('
name|'self'
op|'.'
name|'context'
op|','
name|'self'
op|'.'
name|'FAKE_IMAGE_REF'
op|','
nl|'\n'
name|'expected_path'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'_vhdutils'
op|'.'
name|'get_vhd_format'
op|'.'
name|'assert_called_once_with'
op|'('
nl|'\n'
name|'expected_path'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'_pathutils'
op|'.'
name|'rename'
op|'.'
name|'assert_called_once_with'
op|'('
nl|'\n'
name|'expected_path'
op|','
name|'expected_vhd_path'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'imagecache'
op|'.'
name|'images'
op|','
string|"'fetch'"
op|')'
newline|'\n'
DECL|member|test_get_cached_image_with_fetch_exception
name|'def'
name|'test_get_cached_image_with_fetch_exception'
op|'('
name|'self'
op|','
name|'mock_fetch'
op|')'
op|':'
newline|'\n'
indent|' '
op|'('
name|'expected_path'
op|','
nl|'\n'
name|'expected_vhd_path'
op|')'
op|'='
name|'self'
op|'.'
name|'_prepare_get_cached_image'
op|'('
name|'False'
op|','
name|'False'
op|')'
newline|'\n'
nl|'\n'
comment|"# path doesn't exist until fetched."
nl|'\n'
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'_pathutils'
op|'.'
name|'exists'
op|'.'
name|'side_effect'
op|'='
op|'['
name|'False'
op|','
name|'False'
op|','
name|'True'
op|']'
newline|'\n'
name|'mock_fetch'
op|'.'
name|'side_effect'
op|'='
name|'exception'
op|'.'
name|'InvalidImageRef'
op|'('
nl|'\n'
name|'image_href'
op|'='
name|'self'
op|'.'
name|'FAKE_IMAGE_REF'
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'assertRaises'
op|'('
name|'exception'
op|'.'
name|'InvalidImageRef'
op|','
nl|'\n'
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'get_cached_image'
op|','
nl|'\n'
name|'self'
op|'.'
name|'context'
op|','
name|'self'
op|'.'
name|'instance'
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'_pathutils'
op|'.'
name|'remove'
op|'.'
name|'assert_called_once_with'
op|'('
nl|'\n'
name|'expected_path'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'imagecache'
op|'.'
name|'ImageCache'
op|','
string|"'_resize_and_cache_vhd'"
op|')'
newline|'\n'
DECL|member|test_get_cached_image_use_cow
name|'def'
name|'test_get_cached_image_use_cow'
op|'('
name|'self'
op|','
name|'mock_resize'
op|')'
op|':'
newline|'\n'
indent|' '
op|'('
name|'expected_path'
op|','
nl|'\n'
name|'expected_vhd_path'
op|')'
op|'='
name|'self'
op|'.'
name|'_prepare_get_cached_image'
op|'('
name|'True'
op|','
name|'True'
op|')'
newline|'\n'
nl|'\n'
name|'expected_resized_vhd_path'
op|'='
name|'expected_vhd_path'
op|'+'
string|"'x'"
newline|'\n'
name|'mock_resize'
op|'.'
name|'return_value'
op|'='
name|'expected_resized_vhd_path'
newline|'\n'
nl|'\n'
name|'result'
op|'='
name|'self'
op|'.'
name|'imagecache'
op|'.'
name|'get_cached_image'
op|'('
name|'self'
op|'.'
name|'context'
op|','
name|'self'
op|'.'
name|'instance'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'expected_resized_vhd_path'
op|','
name|'result'
op|')'
newline|'\n'
nl|'\n'
name|'mock_resize'
op|'.'
name|'assert_called_once_with'
op|'('
name|'self'
op|'.'
name|'instance'
op|','
name|'expected_vhd_path'
op|')'
newline|'\n'
dedent|''
dedent|''
endmarker|''
end_unit
| 13.233522
| 88
| 0.634766
| 2,156
| 14,054
| 3.969388
| 0.093228
| 0.194905
| 0.078289
| 0.103061
| 0.805679
| 0.768754
| 0.688362
| 0.64688
| 0.598037
| 0.539729
| 0
| 0.000785
| 0.093354
| 14,054
| 1,061
| 89
| 13.245994
| 0.670852
| 0
| 0
| 0.923657
| 0
| 0
| 0.406503
| 0.064821
| 0
| 0
| 0
| 0
| 0.013195
| 0
| null | null | 0
| 0.010368
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
3e69e547561b965ccb8e2de34af927b2f49381b6
| 1,875
|
py
|
Python
|
projectAi/boot/TwitterBot.py
|
rajatDeveloper/Jarvis_python_project
|
55e0738e8b0051723fc1788c13b0f1a69a76b525
|
[
"MIT"
] | 1
|
2022-01-07T06:30:40.000Z
|
2022-01-07T06:30:40.000Z
|
projectAi/boot/TwitterBot.py
|
rajatDeveloper/Jarvis_python_project
|
55e0738e8b0051723fc1788c13b0f1a69a76b525
|
[
"MIT"
] | null | null | null |
projectAi/boot/TwitterBot.py
|
rajatDeveloper/Jarvis_python_project
|
55e0738e8b0051723fc1788c13b0f1a69a76b525
|
[
"MIT"
] | null | null | null |
# from io import open_code
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.chrome.options import Options
import time
def account_info():
with open('data.txt','r') as rd:
info = rd.read().split()
email = info[0]
password = info[1]
return email , password
email , password = account_info()
print(password)
tweet = "hlw world this is JARVIS here , who tweet too..."
options = Options()
options.add_argument("start-maximized")
driver = webdriver.Chrome(options=options)
driver.get(r'https://twitter.com/login')
email_xpath = '//*[@id="react-root"]/div/div/div[2]/main/div/div/div[2]/form/div/div[1]/label/div/div[2]/div/input'
passward_xpath = '//*[@id="react-root"]/div/div/div[2]/main/div/div/div[2]/form/div/div[2]/label/div/div[2]/div/input'
login_xpath = '//*[@id="react-root"]/div/div/div[2]/main/div/div/div[2]/form/div/div[3]/div/div'
time.sleep(2)
driver.find_element_by_xpath(email_xpath).send_keys(email)
time.sleep(0.5)
driver.find_element_by_xpath(passward_xpath).send_keys(password)
time.sleep(0.5)
driver.find_element_by_xpath(login_xpath).click()
time.sleep(0.5)
tweet_xpath = '//*[@id="react-root"]/div/div/div[2]/header/div/div/div/div[1]/div[3]/a/div'
type_xpath = '//*[@id="layers"]/div[2]/div/div/div/div/div/div[2]/div[2]/div/div[3]/div/div/div/div[1]/div/div/div/div/div[2]/div[1]/div/div/div/div/div/div/div/div/label/div[1]/div/div/div/div/div[2]/div/div/div/div'
post_xpath = '//*[@id="layers"]/div[2]/div/div/div/div/div/div[2]/div[2]/div/div[3]/div/div/div/div[1]/div/div/div/div/div[2]/div[3]/div/div/div[2]/div[4]/div/span/span'
time.sleep(2)
driver.find_element_by_xpath(tweet_xpath).click()
time.sleep(0.5)
driver.find_element_by_xpath(type_xpath).send_keys(tweet)
time.sleep(0.5)
driver.find_element_by_xpath(post_xpath).click()
time.sleep(0.5)
| 41.666667
| 217
| 0.7136
| 346
| 1,875
| 3.760116
| 0.213873
| 0.299769
| 0.269792
| 0.193697
| 0.55957
| 0.543428
| 0.453497
| 0.434281
| 0.362029
| 0.236741
| 0
| 0.027698
| 0.075733
| 1,875
| 44
| 218
| 42.613636
| 0.723024
| 0.0128
| 0
| 0.216216
| 0
| 0.162162
| 0.435911
| 0.383451
| 0
| 0
| 0
| 0
| 0
| 1
| 0.027027
| false
| 0.162162
| 0.108108
| 0
| 0.162162
| 0.027027
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
e468644b08bb99b0eebffbe8413b7ec809db5b0d
| 247
|
py
|
Python
|
project-env/api.py
|
bachew/distmono
|
869c483c50830a8b0938a3e5bcec44d0124ede29
|
[
"MIT"
] | null | null | null |
project-env/api.py
|
bachew/distmono
|
869c483c50830a8b0938a3e5bcec44d0124ede29
|
[
"MIT"
] | null | null | null |
project-env/api.py
|
bachew/distmono
|
869c483c50830a8b0938a3e5bcec44d0124ede29
|
[
"MIT"
] | null | null | null |
from sample_projects.api import ApiProject
def get_project():
return ApiProject(env=get_env())
def get_env():
return {
'namespace': 'distmono-sample-api', # prefix for all stack names
'region': 'ap-southeast-1',
}
| 19
| 73
| 0.647773
| 31
| 247
| 5.032258
| 0.709677
| 0.076923
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005236
| 0.226721
| 247
| 12
| 74
| 20.583333
| 0.811518
| 0.105263
| 0
| 0
| 0
| 0
| 0.219178
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 0.125
| 0.25
| 0.625
| 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
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
e475bf26829647718fbf52e37f1eb2c35fcc56df
| 1,037
|
py
|
Python
|
src/codejam/simple_template.py
|
NoxWings/GoogleCodeJam
|
c10858c797d53875abb39b9c93cf2c00ef056b2f
|
[
"MIT"
] | 2
|
2017-04-09T14:47:30.000Z
|
2017-04-19T07:43:51.000Z
|
src/codejam/simple_template.py
|
NoxWings/GoogleCodeJam
|
c10858c797d53875abb39b9c93cf2c00ef056b2f
|
[
"MIT"
] | null | null | null |
src/codejam/simple_template.py
|
NoxWings/GoogleCodeJam
|
c10858c797d53875abb39b9c93cf2c00ef056b2f
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#===============================================================================
from __future__ import unicode_literals
#===============================================================================
def read_input(strip=True):
return raw_input().strip() if strip else raw_input()
def read_input_multi(strip=True):
return read_input(strip).split()
def read_int():
return int(read_input())
def read_int_multi():
return [int(s) for s in read_input_multi()]
def print_solution(i, solution):
print('Case #{}: {}'.format(i, solution))
#===============================================================================
#------------------------------------------------------------------------------
def solve():
return ''
#===============================================================================
if __name__ == '__main__':
test_cases = read_int()
for t in xrange(test_cases):
solution = solve()
print_solution(t + 1, solution)
| 25.292683
| 80
| 0.400193
| 90
| 1,037
| 4.277778
| 0.444444
| 0.116883
| 0.062338
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00221
| 0.12729
| 1,037
| 40
| 81
| 25.925
| 0.423204
| 0.420444
| 0
| 0
| 0
| 0
| 0.03367
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.055556
| 0.277778
| 0.666667
| 0.166667
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
e4cf091c7ff8c3ae9b063a52493395a9ecaad7c3
| 79
|
py
|
Python
|
bmsapp/periodic_scripts/__init__.py
|
alanmitchell/bmon
|
35b3377efa66d978bb471fe0c69ee0a939ba744b
|
[
"Apache-2.0"
] | 11
|
2017-03-11T04:29:37.000Z
|
2021-11-16T11:37:21.000Z
|
bmsapp/periodic_scripts/__init__.py
|
alanmitchell/bmon
|
35b3377efa66d978bb471fe0c69ee0a939ba744b
|
[
"Apache-2.0"
] | 34
|
2015-11-24T18:59:34.000Z
|
2021-08-13T00:42:34.000Z
|
bmsapp/periodic_scripts/__init__.py
|
alanmitchell/bmon
|
35b3377efa66d978bb471fe0c69ee0a939ba744b
|
[
"Apache-2.0"
] | 7
|
2016-01-15T01:54:22.000Z
|
2020-04-26T08:01:06.000Z
|
"""A package for storing and initiating scripts that are run periodically.
"""
| 26.333333
| 74
| 0.759494
| 11
| 79
| 5.454545
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.151899
| 79
| 2
| 75
| 39.5
| 0.895522
| 0.898734
| 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
|
e4e72d3c27db3efc2f45bf1750474d36a8209286
| 535
|
py
|
Python
|
data/ludb/download_ludb.py
|
raimonpv/NeuroKit
|
cb37d83ee20d6a13a91c4848aa435f41e979e203
|
[
"MIT"
] | null | null | null |
data/ludb/download_ludb.py
|
raimonpv/NeuroKit
|
cb37d83ee20d6a13a91c4848aa435f41e979e203
|
[
"MIT"
] | null | null | null |
data/ludb/download_ludb.py
|
raimonpv/NeuroKit
|
cb37d83ee20d6a13a91c4848aa435f41e979e203
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""Script for formatting the Lobachevsky University Electrocardiography Database
Steps:
1. Run this script.
Credits:
https://github.com/berndporr/py-ecg-detectors/blob/master/tester_MITDB.py by Bernd Porr
"""
import pandas as pd
import numpy as np
import wfdb
import os
#wfdb.rdrecord(pn_dir='https://physionet.org/files/ludb/1.0.0/')
#wfdb.dl_database("ludb", dl_dir=".")
#dbs = wfdb.get_record_list("ludb", records='all')
#wfdb.dl_files("ludb", ".", dbs)
# COULD'NT MANAGE TO DOWNLOAD IT ENTIRELY.
| 26.75
| 91
| 0.723364
| 82
| 535
| 4.634146
| 0.731707
| 0.047368
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010616
| 0.119626
| 535
| 20
| 92
| 26.75
| 0.796178
| 0.846729
| 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
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
e4e89d1f0cbdc9d47ab325cb92724ef2d165a15f
| 93
|
py
|
Python
|
djangospeed/speedtest/apps.py
|
titusjoyson/django-flask-speedtest
|
9e8fcdbc61db708c77890e93503a115a5114fcf8
|
[
"0BSD"
] | 2
|
2019-07-16T19:09:50.000Z
|
2020-01-03T09:06:46.000Z
|
app/tempBerry/speedtest/apps.py
|
ChristianKreuzberger/tempBerry
|
d4a9fe543df57ebdb82d6ebf398607ccf9e6c0bf
|
[
"MIT"
] | 13
|
2019-12-26T17:31:32.000Z
|
2022-03-29T22:28:22.000Z
|
djangospeed/speedtest/apps.py
|
titusjoyson/django-flask-speedtest
|
9e8fcdbc61db708c77890e93503a115a5114fcf8
|
[
"0BSD"
] | 1
|
2020-02-09T22:46:05.000Z
|
2020-02-09T22:46:05.000Z
|
from django.apps import AppConfig
class SpeedtestConfig(AppConfig):
name = 'speedtest'
| 15.5
| 33
| 0.763441
| 10
| 93
| 7.1
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16129
| 93
| 5
| 34
| 18.6
| 0.910256
| 0
| 0
| 0
| 0
| 0
| 0.096774
| 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
|
e4f803268db2abe06becc9819df03f848bd10812
| 127
|
py
|
Python
|
example/models.py
|
gregorynicholas/engineauth
|
df609fd945a55b796229b3cda9baec79105c6446
|
[
"Apache-2.0"
] | 1
|
2015-12-14T10:37:52.000Z
|
2015-12-14T10:37:52.000Z
|
example/models.py
|
gregorynicholas/engineauth
|
df609fd945a55b796229b3cda9baec79105c6446
|
[
"Apache-2.0"
] | null | null | null |
example/models.py
|
gregorynicholas/engineauth
|
df609fd945a55b796229b3cda9baec79105c6446
|
[
"Apache-2.0"
] | null | null | null |
from engineauth import models
class CustomUser(models.User):
@classmethod
def _get_kind(cls):
return 'EAUser'
| 18.142857
| 30
| 0.700787
| 15
| 127
| 5.8
| 0.933333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.220472
| 127
| 6
| 31
| 21.166667
| 0.878788
| 0
| 0
| 0
| 0
| 0
| 0.047244
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0.2
| 0.8
| 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
|
90044b4795cabd524ecd61fd4425e141f39d9606
| 83
|
py
|
Python
|
examples/nowcoder/SQL7/apps.py
|
zhengtong0898/django-decode
|
69680853a4a5b07f6a9c4b65c7d86b2d401a92b1
|
[
"MIT"
] | 5
|
2020-07-14T07:48:10.000Z
|
2021-12-20T21:20:10.000Z
|
examples/nowcoder/SQL7/apps.py
|
zhengtong0898/django-decode
|
69680853a4a5b07f6a9c4b65c7d86b2d401a92b1
|
[
"MIT"
] | 7
|
2021-03-26T03:13:38.000Z
|
2022-03-12T00:42:03.000Z
|
examples/nowcoder/SQL7/apps.py
|
zhengtong0898/django-decode
|
69680853a4a5b07f6a9c4b65c7d86b2d401a92b1
|
[
"MIT"
] | 1
|
2021-02-16T07:04:25.000Z
|
2021-02-16T07:04:25.000Z
|
from django.apps import AppConfig
class Sql7Config(AppConfig):
name = 'SQL7'
| 13.833333
| 33
| 0.73494
| 10
| 83
| 6.1
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.029412
| 0.180723
| 83
| 5
| 34
| 16.6
| 0.867647
| 0
| 0
| 0
| 0
| 0
| 0.048193
| 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
|
901c0c11621985d45c5104eaf7d5f2b306604717
| 241
|
py
|
Python
|
python/qibuild/test/projects/pycmd/test.py
|
vbarbaresi/qibuild
|
eab6b815fe0af49ea5c41ccddcd0dff2363410e1
|
[
"BSD-3-Clause"
] | null | null | null |
python/qibuild/test/projects/pycmd/test.py
|
vbarbaresi/qibuild
|
eab6b815fe0af49ea5c41ccddcd0dff2363410e1
|
[
"BSD-3-Clause"
] | null | null | null |
python/qibuild/test/projects/pycmd/test.py
|
vbarbaresi/qibuild
|
eab6b815fe0af49ea5c41ccddcd0dff2363410e1
|
[
"BSD-3-Clause"
] | null | null | null |
# Copyright (c) 2012-2018 SoftBank Robotics. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the COPYING file.
import sys
print ", ".join([x.capitalize() for x in sys.argv[1:]]) + "!"
| 40.166667
| 72
| 0.709544
| 41
| 241
| 4.170732
| 0.926829
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.045
| 0.170124
| 241
| 5
| 73
| 48.2
| 0.81
| 0.66805
| 0
| 0
| 0
| 0
| 0.039474
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.5
| null | null | 0.5
| 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
| 0
| 1
| 0
| 0
| 1
|
0
| 4
|
903a8e0f31ef726e850b165e570426b02713831f
| 570
|
py
|
Python
|
CPT/types_mgr.py
|
Grosse-pasteque/CPT
|
3e3588617a7c058361546844a2c35913b0bcf7ed
|
[
"MIT"
] | 1
|
2021-06-30T19:54:31.000Z
|
2021-06-30T19:54:31.000Z
|
CPT/types_mgr.py
|
Grosse-pasteque/CPT
|
3e3588617a7c058361546844a2c35913b0bcf7ed
|
[
"MIT"
] | null | null | null |
CPT/types_mgr.py
|
Grosse-pasteque/CPT
|
3e3588617a7c058361546844a2c35913b0bcf7ed
|
[
"MIT"
] | 1
|
2021-07-20T07:33:20.000Z
|
2021-07-20T07:33:20.000Z
|
import re
types = {
"str": [str, re.compile(r"""('|")(.*)\1""")],
"int": [int, re.compile(r'\d+')],
"float": [float, re.compile(r'\d+\.\d+')],
"bool": [bool, re.compile(r'True|False')],
"tuple": [tuple, re.compile(r'\((.*)\)')],
"list": [list, re.compile(r'\[(.*)\]')],
"dict": [dict, re.compile(r'\{(.*)\}')],
"bin": ["spe", re.compile(r'(0b(1|0)+( |))*')],
"oct": ["spe", re.compile(r'(0o\d+( |))*')],
"hex": ["spe", re.compile(r'((0x|#)[a-f0-9]{6}( |))*')],
"rgb": ["spe", re.compile(r'(\(|\[)\d{3}, \d{3}, \d{3}(\)|\])')]
}
| 38
| 68
| 0.414035
| 80
| 570
| 2.95
| 0.375
| 0.419492
| 0.466102
| 0.220339
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.024793
| 0.150877
| 570
| 15
| 69
| 38
| 0.46281
| 0
| 0
| 0
| 0
| 0
| 0.336252
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.071429
| 0
| 0.071429
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5f3d5340550fc26d3ced38a0d2d95c4fea2b2859
| 719
|
py
|
Python
|
features/steps/__init__.py
|
longaccess/longaccess-client
|
710bab93e9b2b9264228769b3cb37808c97977ea
|
[
"Apache-2.0"
] | 2
|
2015-01-04T01:15:36.000Z
|
2015-01-20T17:05:34.000Z
|
features/steps/__init__.py
|
longaccess/longaccess-client
|
710bab93e9b2b9264228769b3cb37808c97977ea
|
[
"Apache-2.0"
] | 1
|
2016-04-21T00:33:46.000Z
|
2016-05-05T09:23:50.000Z
|
features/steps/__init__.py
|
longaccess/longaccess-client
|
710bab93e9b2b9264228769b3cb37808c97977ea
|
[
"Apache-2.0"
] | null | null | null |
from behave_cli.expect.steps import * # noqa
from behave_cli.files.steps import * # noqa
from behave_cli.api.steps import * # noqa
from behave_cli.s3mock.steps import * # noqa
from behave_cli.netrc.steps import * # noqa
from behave_cli.s3mock import setup as s3setup
from behave_cli.s3mock import teardown as s3teardown
from behave_cli.s3mock.steps import s3bucket_named
from Crypto import Random
def mp_setup(ctx):
buckets = ctx.buckets # save buckets before setup resets them
s3setup(ctx)
if len(buckets):
for bucket in buckets:
s3bucket_named(ctx, bucket)
Random.atfork()
def mp_teardown(ctx):
s3teardown(ctx)
def cert_vars(ctx):
return {'certid': ctx.certid}
| 26.62963
| 66
| 0.732962
| 105
| 719
| 4.895238
| 0.361905
| 0.155642
| 0.202335
| 0.184825
| 0.414397
| 0.354086
| 0.132296
| 0
| 0
| 0
| 0
| 0.017153
| 0.189152
| 719
| 26
| 67
| 27.653846
| 0.864494
| 0.086231
| 0
| 0
| 0
| 0
| 0.009231
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.15
| false
| 0
| 0.45
| 0.05
| 0.65
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
5f4a3be87f1e8307cd1466585175ddedacf3a06d
| 426
|
py
|
Python
|
commerce/auctions/forms.py
|
alxojy/CS50w
|
729578474d6b997128d13910d452ddb19762cb80
|
[
"MIT"
] | 7
|
2021-05-15T16:32:00.000Z
|
2022-03-31T12:11:35.000Z
|
commerce/auctions/forms.py
|
alxojy/CS50w
|
729578474d6b997128d13910d452ddb19762cb80
|
[
"MIT"
] | 1
|
2022-03-10T07:26:37.000Z
|
2022-03-10T07:26:37.000Z
|
commerce/auctions/forms.py
|
alxojy/CS50w
|
729578474d6b997128d13910d452ddb19762cb80
|
[
"MIT"
] | 30
|
2021-01-25T18:20:38.000Z
|
2022-03-23T02:59:41.000Z
|
from django.forms import ModelForm
from django import forms
from .models import Listing, Bid, Comment, Category
class CreateListingForm(forms.Form):
title = forms.CharField(label="Title")
description = forms.CharField(widget=forms.Textarea(attrs={'rows':'5', 'cols':'50'}))
bid = forms.CharField(widget=forms.NumberInput(attrs={'step':'0.01', 'min':'0'}))
image_url = forms.CharField(widget=forms.URLInput())
| 42.6
| 89
| 0.725352
| 55
| 426
| 5.6
| 0.581818
| 0.181818
| 0.194805
| 0.243506
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018519
| 0.112676
| 426
| 10
| 90
| 42.6
| 0.796296
| 0
| 0
| 0
| 0
| 0
| 0.065574
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.375
| 0
| 1
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
5f7fcf1dcadb2740d739660aeae5f2b00a0221c9
| 1,787
|
py
|
Python
|
quantronauts/src/draw.py
|
quantronauts/quantum_Nim-game
|
65d22e4d32ea6c5458ad84f44a34b375d972c3fe
|
[
"Apache-2.0"
] | null | null | null |
quantronauts/src/draw.py
|
quantronauts/quantum_Nim-game
|
65d22e4d32ea6c5458ad84f44a34b375d972c3fe
|
[
"Apache-2.0"
] | null | null | null |
quantronauts/src/draw.py
|
quantronauts/quantum_Nim-game
|
65d22e4d32ea6c5458ad84f44a34b375d972c3fe
|
[
"Apache-2.0"
] | null | null | null |
def draw(stick: int, cx: str):
"""Function to draw of the board.
Args:
stick: nb of sticks left
cx: past
"""
if stick == 11:
print(
"#######################\n | | | | | | | | | | | \n#######################"
)
if stick == 10:
print(
"#######################\n | | | | | | | | | |",
"# ",
cx,
" \n#######################",
)
if stick == 9:
print(
"#######################\n | | | | | | | | |",
"# ",
cx,
" \n#######################",
)
if stick == 8:
print(
"#######################\n | | | | | | | |",
"# ",
cx,
" \n#######################",
)
if stick == 7:
print(
"######################\n | | | | | | |",
"# ",
cx,
" \n#######################",
)
if stick == 6:
print(
"#######################\n | | | | | |",
"# ",
cx,
" \n#######################",
)
if stick == 5:
print(
"########################\n | | | | |",
"# ",
cx,
" \n#######################",
)
if stick == 4:
print(
"#######################\n | | | |", "# ", cx, " \n#######################"
)
if stick == 3:
print("#######################\n | | |", "# ", cx, " \n#######################")
if stick == 2:
print("#######################\n | |", "# ", cx, " \n#######################")
if stick == 1:
print("#######################\n |", "# ", cx, " \n#######################")
| 24.479452
| 88
| 0.145495
| 96
| 1,787
| 2.708333
| 0.3125
| 0.296154
| 0.307692
| 0.346154
| 0.553846
| 0.553846
| 0
| 0
| 0
| 0
| 0
| 0.012585
| 0.421936
| 1,787
| 72
| 89
| 24.819444
| 0.239109
| 0.043649
| 0
| 0.45614
| 0
| 0
| 0.422894
| 0.326216
| 0
| 0
| 0
| 0
| 0
| 1
| 0.017544
| false
| 0
| 0
| 0
| 0.017544
| 0.192982
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5f80e106fd0e4269ccefe435cbe58d20d1c6c8cd
| 92
|
py
|
Python
|
likelihoods/hetlikelihood.py
|
pmorenoz/Baselines4All
|
95a2ebbf8ceab5d9ecc9514b43bb72ed2e126073
|
[
"Apache-2.0"
] | null | null | null |
likelihoods/hetlikelihood.py
|
pmorenoz/Baselines4All
|
95a2ebbf8ceab5d9ecc9514b43bb72ed2e126073
|
[
"Apache-2.0"
] | null | null | null |
likelihoods/hetlikelihood.py
|
pmorenoz/Baselines4All
|
95a2ebbf8ceab5d9ecc9514b43bb72ed2e126073
|
[
"Apache-2.0"
] | null | null | null |
#
# Pablo Moreno-Munoz (pabmo@dtu.dk)
# Technical University of Denmark - DTU
# April 2021
| 15.333333
| 39
| 0.717391
| 13
| 92
| 5.076923
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.052632
| 0.173913
| 92
| 5
| 40
| 18.4
| 0.815789
| 0.891304
| 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
|
397c9204b2f223d2aa5aabadcb4c47c1dde92a21
| 182
|
py
|
Python
|
posts/tests/test_apps.py
|
xelam11/Social-Network-Yatube
|
804efcea727da4d837ec63b29a33d285ac682e07
|
[
"BSD-3-Clause"
] | null | null | null |
posts/tests/test_apps.py
|
xelam11/Social-Network-Yatube
|
804efcea727da4d837ec63b29a33d285ac682e07
|
[
"BSD-3-Clause"
] | null | null | null |
posts/tests/test_apps.py
|
xelam11/Social-Network-Yatube
|
804efcea727da4d837ec63b29a33d285ac682e07
|
[
"BSD-3-Clause"
] | null | null | null |
from django.test import TestCase
from posts.apps import PostsConfig
class ReportsConfigTest(TestCase):
def test_apps(self):
self.assertEqual(PostsConfig.name, "posts")
| 22.75
| 51
| 0.763736
| 22
| 182
| 6.272727
| 0.636364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 182
| 7
| 52
| 26
| 0.896104
| 0
| 0
| 0
| 0
| 0
| 0.027473
| 0
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 0.8
| 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
|
3990ea605940653c3dfdc0bca4986e96f2def3d1
| 86
|
py
|
Python
|
main/__init__.py
|
rshalem/inspire.me
|
a38bf2428c4488664f98bf2ec3a7da3adbf782b9
|
[
"MIT"
] | null | null | null |
main/__init__.py
|
rshalem/inspire.me
|
a38bf2428c4488664f98bf2ec3a7da3adbf782b9
|
[
"MIT"
] | null | null | null |
main/__init__.py
|
rshalem/inspire.me
|
a38bf2428c4488664f98bf2ec3a7da3adbf782b9
|
[
"MIT"
] | null | null | null |
# default_apps_config = 'main.apps.MainConfig'
# to use only 'main' in INSTALLED APPS
| 28.666667
| 46
| 0.755814
| 13
| 86
| 4.846154
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.139535
| 86
| 3
| 47
| 28.666667
| 0.851351
| 0.94186
| 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
|
399d16f5407234e746db32933e56ff431dc82dc8
| 166
|
py
|
Python
|
sqs/tests/non-existant_queue.py
|
gongchengshi/aws
|
d04d42739e026d2e99936dd046be05293e063e08
|
[
"MIT"
] | null | null | null |
sqs/tests/non-existant_queue.py
|
gongchengshi/aws
|
d04d42739e026d2e99936dd046be05293e063e08
|
[
"MIT"
] | null | null | null |
sqs/tests/non-existant_queue.py
|
gongchengshi/aws
|
d04d42739e026d2e99936dd046be05293e063e08
|
[
"MIT"
] | null | null | null |
from aws import USWest2 as aws
sqs = aws.sqs()
queue = sqs.lookup('sel17062013--208_73_211_10_32')
try:
msg = queue.get_messages()
except Exception, e:
pass
| 18.444444
| 51
| 0.710843
| 27
| 166
| 4.185185
| 0.814815
| 0.106195
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153285
| 0.174699
| 166
| 8
| 52
| 20.75
| 0.671533
| 0
| 0
| 0
| 0
| 0
| 0.175758
| 0.175758
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.142857
| 0.142857
| null | null | 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
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
39a121abd30cc09c55d2150e6f8ea3d9bd97374d
| 120
|
py
|
Python
|
photo/admin.py
|
Trippr-dwoc/Trippr-backend
|
69a8bb8e1a742b64b4eaf8612f97806e6191e8fb
|
[
"MIT"
] | null | null | null |
photo/admin.py
|
Trippr-dwoc/Trippr-backend
|
69a8bb8e1a742b64b4eaf8612f97806e6191e8fb
|
[
"MIT"
] | null | null | null |
photo/admin.py
|
Trippr-dwoc/Trippr-backend
|
69a8bb8e1a742b64b4eaf8612f97806e6191e8fb
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from photo.models import Photo
# Register your models here.
admin.site.register(Photo)
| 24
| 32
| 0.816667
| 18
| 120
| 5.444444
| 0.611111
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.116667
| 120
| 5
| 33
| 24
| 0.924528
| 0.216667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 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
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
39d0a7e6b9113977a974a2b646efa31868ae49c8
| 134
|
py
|
Python
|
wsgi.py
|
sam0737/niceboat
|
97a11ba2b382a95534e0a5224536ce795ba4d646
|
[
"MIT"
] | 4
|
2018-04-17T02:16:18.000Z
|
2018-07-25T17:20:30.000Z
|
wsgi.py
|
sam0737/niceboat
|
97a11ba2b382a95534e0a5224536ce795ba4d646
|
[
"MIT"
] | null | null | null |
wsgi.py
|
sam0737/niceboat
|
97a11ba2b382a95534e0a5224536ce795ba4d646
|
[
"MIT"
] | null | null | null |
from gevent import monkey
monkey.patch_all()
from config import Config
from app import app
if __name__ == "__main__":
app.run()
| 14.888889
| 26
| 0.738806
| 20
| 134
| 4.5
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.179104
| 134
| 8
| 27
| 16.75
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0.059701
| 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
|
39e217f0f77be20b64fac3ee5f325c417432c64a
| 120
|
py
|
Python
|
src/image_server/forms.py
|
MakingThingsHappen/thumborweb
|
7e54fbde5070f015f8760b2ba0087896bc4b8319
|
[
"BSD-3-Clause"
] | null | null | null |
src/image_server/forms.py
|
MakingThingsHappen/thumborweb
|
7e54fbde5070f015f8760b2ba0087896bc4b8319
|
[
"BSD-3-Clause"
] | null | null | null |
src/image_server/forms.py
|
MakingThingsHappen/thumborweb
|
7e54fbde5070f015f8760b2ba0087896bc4b8319
|
[
"BSD-3-Clause"
] | null | null | null |
from django import forms
class FileNameForm(forms.Form):
filename = forms.CharField(max_length=255, min_length=1)
| 20
| 60
| 0.775
| 17
| 120
| 5.352941
| 0.823529
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.038462
| 0.133333
| 120
| 5
| 61
| 24
| 0.836538
| 0
| 0
| 0
| 0
| 0
| 0
| 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
|
39e2c454d541f9b873497d989778972f17507208
| 35
|
py
|
Python
|
tests/__init__.py
|
yngtodd/paint
|
ee39d58ad430e473b4d8f88107a6d7658f9e34f8
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
yngtodd/paint
|
ee39d58ad430e473b4d8f88107a6d7658f9e34f8
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
yngtodd/paint
|
ee39d58ad430e473b4d8f88107a6d7658f9e34f8
|
[
"MIT"
] | null | null | null |
"""Unit test package for paint."""
| 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
|
f2cd60946a569a02e6556f8fa3bbf3d99e873b3f
| 238
|
py
|
Python
|
aula08/ex020.py
|
avacorreia/Exercicio-Curso-em-Video-Pyton-Modulo1
|
f04a3b0bc360318b1420b23df3325908220773aa
|
[
"MIT"
] | null | null | null |
aula08/ex020.py
|
avacorreia/Exercicio-Curso-em-Video-Pyton-Modulo1
|
f04a3b0bc360318b1420b23df3325908220773aa
|
[
"MIT"
] | null | null | null |
aula08/ex020.py
|
avacorreia/Exercicio-Curso-em-Video-Pyton-Modulo1
|
f04a3b0bc360318b1420b23df3325908220773aa
|
[
"MIT"
] | null | null | null |
import math
nome1 = input('Insira o nome 1: ')
nome2 = input('Insira o nome 2: ')
nome3 = input('Insira o nome 3: ')
nome4 = input('Insira o nome 4: ')
lista = [nome1, nome2, nome3, nome4]
lista.sort()
print('A ordem é {}'.format(lista))
| 26.444444
| 36
| 0.651261
| 39
| 238
| 3.974359
| 0.538462
| 0.283871
| 0.309677
| 0.412903
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.060914
| 0.172269
| 238
| 8
| 37
| 29.75
| 0.725888
| 0
| 0
| 0
| 0
| 0
| 0.336134
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.125
| 0
| 0.125
| 0.125
| 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
|
8413a5d5c5e15445434a0e503aca8cd232fcf6dd
| 4,164
|
py
|
Python
|
examples/RelationsGrammar.py
|
osteele/pyfsa
|
58a44106d3e3918a17a5a106584d1a91636f9d52
|
[
"Artistic-1.0-Perl"
] | 7
|
2015-11-25T10:52:43.000Z
|
2018-09-11T21:35:25.000Z
|
examples/RelationsGrammar.py
|
osteele/pyfsa
|
58a44106d3e3918a17a5a106584d1a91636f9d52
|
[
"Artistic-1.0-Perl"
] | null | null | null |
examples/RelationsGrammar.py
|
osteele/pyfsa
|
58a44106d3e3918a17a5a106584d1a91636f9d52
|
[
"Artistic-1.0-Perl"
] | 7
|
2015-12-23T05:22:20.000Z
|
2021-07-13T19:17:32.000Z
|
from Matcher import Pattern
from Matcher import PatternElement
from Matcher import Action
from PatternScanner import CreateConstituentAction
from Patterns import *
from PatternScanner import CategoryTest
# Noun phrase Patterns
np1 = Pattern(
'nbar = adj* noun+',
[ PatternElement( tag=np_internal_tags, quant='*'),
PatternElement( tag=noun_tags, quant='+')],
CreateConstituentAction('nbar'))
np2 = Pattern(
'nbar = nbar of np',
[ CategoryTest('nbar'),
PatternElement(stem=['of']),
CategoryTest('np')],
CreateConstituentAction('nbar'))
np3 = Pattern(
'np = det? nbar',
[ PatternElement( tag=det_tags, quant='?'),
CategoryTest('nbar')],
CreateConstituentAction('np'))
np_patterns = [np1, np2, np3]
# Inhibitor Patterns
# todo: the heads of these are wrong
inhibitor1 = Pattern(
'np_inhibitor_comma_np',
[ CategoryTest('np'),
PatternElement( stem=['inhibitor']),
PatternElement( tag=[',']),
CategoryTest('np') ],
Action(head=[4],args=[[2,3],[6]]))
inhibitor2 = Pattern(
'np_comma_np_inhibitor',
[ CategoryTest('np'),
PatternElement( tag=[',']),
CategoryTest('np'),
PatternElement( stem=['inhibitor']) ],
Action(head=[6],args=[[1],[4,5]]))
inhibitor3 = Pattern(
'np_inhibitor',
[ CategoryTest('np'),
PatternElement( stem=['inhibitor']) ],
Action(head=[4],args=[[2,3],[5]]))
inhibitor4= Pattern(
'np_inhibitor_np',
[ CategoryTest('np'),
PatternElement( stem=['inhibitor']),
CategoryTest('np') ],
Action(head=[4],args=[[2,3],[5]]))
inhibitor4 = Pattern(
'np_comma_det?_inhibitor_of_np',
[ CategoryTest('np'),
PatternElement( tag=[',']),
PatternElement( tag=det_tags),
PatternElement( stem=['inhibitor']),
PatternElement( stem=['of']),
CategoryTest('np') ],
Action(head=[4,5],args=[[1],[6,7,8]]))
inhibitor_patterns = [ inhibitor1, inhibitor2, inhibitor3, inhibitor4 ]
# Inhibit Patterns
inhibit_1 = Pattern(
'det_ability_of_np_to_inhibit_np',
[ PatternElement( tag=det_tags, quant='*'),
PatternElement( stem=['ability']),
PatternElement( stem=['of']),
CategoryTest('np'),
PatternElement( tag=['TO']),
PatternElement( tag=adv_tags, quant='*'),
PatternElement( stem=['inhibit']),
CategoryTest('np') ],
Action(head=[7],args=[[4],[8,9,10]]))
inhibit_2 = Pattern(
'high_levels_of_np_inhibit_np',
[ CategoryTest('np'),
PatternElement( tag=adv_tags, quant='*'),
PatternElement( stem=['inhibit']),
CategoryTest('np') ],
Action(head=[5],args=[[3],[6,7,8]]))
inhibit_3 = Pattern(
'np_is_inhibited_by_np',
[ CategoryTest('np'),
PatternElement( stem=['be']),
PatternElement( tag=adv_tags, quant='*'),
PatternElement( stem=['inhibit']),
PatternElement( stem=['by']),
CategoryTest('np') ],
Action(head=[2,4],args=[[1],[6,7,8]]))
arrest_growth_1 = Pattern(
'np_can_arrest_growth_in_np',
[ CategoryTest('np'),
PatternElement( tag=modal_tags),
PatternElement( stem=['arrest']),
PatternElement( stem=['growth']),
PatternElement( stem=['in']),
CategoryTest('np')],
Action(head=[2,3,4,5],args=[[1],[6]]))
have_activity_against_1 = Pattern(
'np_has_activity_against_np',
[ CategoryTest('np'),
#PatternElement( tag=adv_tags, quant='*'),
PatternElement( stem=['have']),
PatternElement( stem=['activity']),
PatternElement( stem=['against']),
CategoryTest('np') ],
Action(head=[2,3,4],args=[[1],[5]]))
show_reduction_in_1 = Pattern(
'np_show_reduction_in_np',
[ CategoryTest('np'),
PatternElement( stem=['show']),
PatternElement( stem=['reduction']),
PatternElement( stem=['in']),
CategoryTest('np') ],
Action(head=[2,3,4],args=[[1],[5]]))
inhibit_patterns = [inhibit_1 ,inhibit_2 ,inhibit_3 ,
arrest_growth_1,
have_activity_against_1,
show_reduction_in_1 ]
rules = np_patterns + inhibitor_patterns + inhibit_patterns
defaultCategory = 'reln'
| 4,164
| 4,164
| 0.617675
| 446
| 4,164
| 5.585202
| 0.163677
| 0.166198
| 0.134886
| 0.086712
| 0.452429
| 0.288639
| 0.254115
| 0.217182
| 0.177439
| 0.177439
| 0
| 0.024632
| 0.200528
| 4,164
| 1
| 4,164
| 4,164
| 0.723641
| 0.0317
| 0
| 0.422414
| 0
| 0
| 0.126677
| 0.056135
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| false
| 0
| 0.051724
| 0
| 0.051724
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
843ce7a9f0ab680367ea937e3cb1598c27e61ed5
| 469
|
py
|
Python
|
POO 2 - Polimorfismo/Polimorfismo.py
|
BrianMarquez3/Python-Course
|
2622b4ddfd687505becfd246e82a2ed0cb9b76f3
|
[
"MIT"
] | 20
|
2020-08-19T23:27:01.000Z
|
2022-02-03T12:02:17.000Z
|
POO 2 - Polimorfismo/Polimorfismo.py
|
BrianMarquez3/Python-Course
|
2622b4ddfd687505becfd246e82a2ed0cb9b76f3
|
[
"MIT"
] | 1
|
2021-04-10T18:06:05.000Z
|
2021-04-10T18:06:05.000Z
|
POO 2 - Polimorfismo/Polimorfismo.py
|
BrianMarquez3/Python-Course
|
2622b4ddfd687505becfd246e82a2ed0cb9b76f3
|
[
"MIT"
] | 2
|
2020-12-03T19:35:36.000Z
|
2021-11-10T14:58:39.000Z
|
#POO 2 - POLIFORMISMO
#
class Coche():
def desplazamiento(self):
print("Me desplazo utilizando cuatro ruedas")
class Moto():
def desplazamiento(self):
print("Me Desplazo utilizando dos Ruedas")
class Camion():
def desplazamiento(self):
print("Me Desplazo utilizando seis Ruedas")
#Polimorfismo
def desplazamientovehiculo(vehiculo):
vehiculo.desplazamiento()
mivehiculo=Camion()
desplazamientovehiculo(mivehiculo)
| 16.172414
| 53
| 0.703625
| 46
| 469
| 7.173913
| 0.478261
| 0.154545
| 0.190909
| 0.236364
| 0.418182
| 0.418182
| 0.418182
| 0
| 0
| 0
| 0
| 0.002667
| 0.200426
| 469
| 28
| 54
| 16.75
| 0.877333
| 0.06823
| 0
| 0.230769
| 0
| 0
| 0.238979
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.307692
| false
| 0
| 0
| 0
| 0.538462
| 0.230769
| 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
|
8443083bbb932a3c8bf6c533273c399123fa6d55
| 50
|
py
|
Python
|
app/bank/__init__.py
|
namuan/crypto-rider
|
f5b47ada60a7cef07e66609e2e92993619c6bfbe
|
[
"MIT"
] | 1
|
2022-01-18T19:06:20.000Z
|
2022-01-18T19:06:20.000Z
|
app/bank/__init__.py
|
namuan/crypto-rider
|
f5b47ada60a7cef07e66609e2e92993619c6bfbe
|
[
"MIT"
] | null | null | null |
app/bank/__init__.py
|
namuan/crypto-rider
|
f5b47ada60a7cef07e66609e2e92993619c6bfbe
|
[
"MIT"
] | null | null | null |
class NotEnoughCashError(BaseException):
pass
| 16.666667
| 40
| 0.8
| 4
| 50
| 10
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.14
| 50
| 2
| 41
| 25
| 0.930233
| 0
| 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
|
84466ed813515e12807be31898e9499a289c2514
| 92
|
py
|
Python
|
swag_auth/apps.py
|
LikaloLLC/django-swag-auth
|
06fd027beca240ff50567a3be4bedee2a7e40a97
|
[
"BSD-3-Clause"
] | null | null | null |
swag_auth/apps.py
|
LikaloLLC/django-swag-auth
|
06fd027beca240ff50567a3be4bedee2a7e40a97
|
[
"BSD-3-Clause"
] | 6
|
2021-05-10T13:11:24.000Z
|
2021-09-08T13:35:46.000Z
|
swag_auth/apps.py
|
LikaloLLC/django-swag-auth
|
06fd027beca240ff50567a3be4bedee2a7e40a97
|
[
"BSD-3-Clause"
] | 2
|
2021-04-29T20:08:21.000Z
|
2021-11-17T19:21:42.000Z
|
from django.apps import AppConfig
class SwagAuthConfig(AppConfig):
name = 'swag_auth'
| 15.333333
| 33
| 0.76087
| 11
| 92
| 6.272727
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.163043
| 92
| 5
| 34
| 18.4
| 0.896104
| 0
| 0
| 0
| 0
| 0
| 0.097826
| 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
|
844b20791fdd9ead3d6d386acd2694082d0636bf
| 359
|
py
|
Python
|
KNN.py
|
papilong123/pyscript
|
15fe0849cf18ad75ce61cfdc7a27504adc38834e
|
[
"MIT"
] | null | null | null |
KNN.py
|
papilong123/pyscript
|
15fe0849cf18ad75ce61cfdc7a27504adc38834e
|
[
"MIT"
] | null | null | null |
KNN.py
|
papilong123/pyscript
|
15fe0849cf18ad75ce61cfdc7a27504adc38834e
|
[
"MIT"
] | null | null | null |
from sklearn.neighbors import KNeighborsClassifier
X = [[0], [1], [2], [3], [4], [5], [6], [7], [8]]
y = [0, 0, 0, 1, 1, 1, 2, 2, 2]
neigh = KNeighborsClassifier(n_neighbors=3)
neigh.fit(X, y)
print(neigh.predict([[1.1]]))
print(neigh.predict([[1.6]]))
print(neigh.predict([[5.2]]))
print(neigh.predict([[5.8]]))
print(neigh.predict([[6.2]]))
| 25.642857
| 51
| 0.579387
| 59
| 359
| 3.508475
| 0.355932
| 0.241546
| 0.410628
| 0.173913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.094463
| 0.144847
| 359
| 13
| 52
| 27.615385
| 0.579805
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.1
| 0
| 0.1
| 0.5
| 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
| 0
| 0
| 0
| 1
|
0
| 4
|
84539761ddcafb5c2ea8820f4fe424b8dc03d042
| 139
|
py
|
Python
|
src/ga/lib/iterable.py
|
lipopo/ga
|
2022554dc16b0038832aec4310225f073f1e904a
|
[
"MIT"
] | null | null | null |
src/ga/lib/iterable.py
|
lipopo/ga
|
2022554dc16b0038832aec4310225f073f1e904a
|
[
"MIT"
] | null | null | null |
src/ga/lib/iterable.py
|
lipopo/ga
|
2022554dc16b0038832aec4310225f073f1e904a
|
[
"MIT"
] | null | null | null |
class Iterable(object):
"""
可迭代对象
"""
def __iter__(self):
return self
def __next__(self):
self.next()
| 13.9
| 23
| 0.517986
| 14
| 139
| 4.571429
| 0.642857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.352518
| 139
| 9
| 24
| 15.444444
| 0.711111
| 0.035971
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
| 0.2
| 0.8
| 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
|
84563423962034f241b9b7c0a0229ef72a5aa89f
| 150
|
py
|
Python
|
python/reactive/papi/Side.py
|
morriph/platform-api
|
b53cc146a3653ab6c358d6c7ecdfd8b245755f1c
|
[
"Apache-2.0"
] | null | null | null |
python/reactive/papi/Side.py
|
morriph/platform-api
|
b53cc146a3653ab6c358d6c7ecdfd8b245755f1c
|
[
"Apache-2.0"
] | null | null | null |
python/reactive/papi/Side.py
|
morriph/platform-api
|
b53cc146a3653ab6c358d6c7ecdfd8b245755f1c
|
[
"Apache-2.0"
] | null | null | null |
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: papi
class Side(object):
Sell = -1
None_ = 0
Buy = 1
| 15
| 68
| 0.666667
| 20
| 150
| 4.95
| 0.95
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.027027
| 0.26
| 150
| 9
| 69
| 16.666667
| 0.864865
| 0.546667
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
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