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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
916109f436b57ff24926a1d808ff0b3c00b73b77 | 661 | py | Python | tests/__init__.py | dgquintas/vmcontroller.unstable | 131c0af19c5923ef57c74006246dc41c65f24120 | [
"BSD-3-Clause"
] | null | null | null | tests/__init__.py | dgquintas/vmcontroller.unstable | 131c0af19c5923ef57c74006246dc41c65f24120 | [
"BSD-3-Clause"
] | null | null | null | tests/__init__.py | dgquintas/vmcontroller.unstable | 131c0af19c5923ef57c74006246dc41c65f24120 | [
"BSD-3-Clause"
] | null | null | null | #!python
# To run from the root folder:
# trial tests/
import sys
import os
# When executed from the root folder
sys.path.append(os.path.abspath("./tests"))
sys.path.append(os.path.abspath("./src/vmcontroller.common"))
sys.path.append(os.path.abspath("./src/vmcontroller.host"))
sys.path.append(os.path.abspath("./src/vmcontroller.vm"))
# Just in case executed inside the tests/ folder
sys.path.append(os.path.abspath("."))
sys.path.append(os.path.abspath("../src/vmcontroller.common"))
sys.path.append(os.path.abspath("../src/vmcontroller.host"))
sys.path.append(os.path.abspath("../src/vmcontroller.vm"))
# Add here test modules
from test_config import *
| 33.05 | 62 | 0.738275 | 102 | 661 | 4.77451 | 0.303922 | 0.11499 | 0.213552 | 0.246407 | 0.685832 | 0.685832 | 0.685832 | 0.554415 | 0.554415 | 0.554415 | 0 | 0 | 0.078669 | 661 | 19 | 63 | 34.789474 | 0.799672 | 0.234493 | 0 | 0 | 0 | 0 | 0.298 | 0.282 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.272727 | 0 | 0.272727 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
916f4d3948f6b194540587beef26962020bf31d0 | 4,629 | py | Python | tests/test_app/dynamic_preferences_registry.py | dadoeyad/django-dynamic-preferences | fa012e3012f7149a92bd2daa57efd4c5e0aba32c | [
"BSD-3-Clause"
] | null | null | null | tests/test_app/dynamic_preferences_registry.py | dadoeyad/django-dynamic-preferences | fa012e3012f7149a92bd2daa57efd4c5e0aba32c | [
"BSD-3-Clause"
] | null | null | null | tests/test_app/dynamic_preferences_registry.py | dadoeyad/django-dynamic-preferences | fa012e3012f7149a92bd2daa57efd4c5e0aba32c | [
"BSD-3-Clause"
] | null | null | null | from decimal import Decimal
from django.utils.timezone import FixedOffset
from dynamic_preferences.types import *
from dynamic_preferences.registries import global_preferences_registry
from dynamic_preferences.users.registries import user_preferences_registry
from dynamic_preferences.preferences import Section
from django.forms import ValidationError
from .models import BlogEntry
# Tutorial preferences
@global_preferences_registry.register
class RegistrationAllowed(BooleanPreference):
"""
Are new registrations allowed ?
"""
section = "user"
name = "registration_allowed"
default = False
@global_preferences_registry.register
class MaxUsers(IntPreference):
"""
Are new registrations allowed ?
"""
section = "user"
name = "max_users"
default = 100
verbose_name = 'Maximum user count'
help_text = 'Be careful with this setting'
def validate(self, value):
# value can't be equal to 1001, no no no!
if value == 1001:
raise ValidationError('Wrong value!')
return value
class NoDefault(IntPreference):
section = "user"
name = "no_default"
class NoModel(ModelChoicePreference):
section = "blog"
name = "no_model"
default = None
@global_preferences_registry.register
class ItemsPerPage(IntPreference):
section = "user"
name = "items_per_page"
default = 25
@global_preferences_registry.register
class FeaturedBlogEntry(ModelChoicePreference):
section = "blog"
name = "featured_entry"
queryset = BlogEntry.objects.all()
def get_default(self):
return self.queryset.first()
@global_preferences_registry.register
class BlogLogo(FilePreference):
section = "blog"
name = "logo"
@global_preferences_registry.register
class BlogLogo2(FilePreference):
section = "blog"
name = "logo2"
@global_preferences_registry.register
class BlogCost(DecimalPreference):
section = 'type'
name = 'cost'
default = Decimal(0)
@user_preferences_registry.register
class FavoriteVegetable(ChoicePreference):
choices = (
("C", "Carrot"),
("T", "Tomato. I know, it's not a vegetable"),
("P", "Potato")
)
section = "user"
name = "favorite_vegetable"
default = "C"
@user_preferences_registry.register
class FavouriteColour(StringPreference):
"""
What's your favourite colour ?
"""
section = "misc"
name = "favourite_colour"
default = "Green"
@user_preferences_registry.register
class IsZombie(BooleanPreference):
"""
Are you a zombie ?
"""
section = "misc"
name = "is_zombie"
default = True
class BaseTestPref(object):
section = "test"
# No section pref
@global_preferences_registry.register
class NoSection(BooleanPreference):
name = "no_section"
default = False
# User preferences
@user_preferences_registry.register
class TestUserPref1(BaseTestPref, StringPreference):
name = "TestUserPref1"
default = "default value"
@user_preferences_registry.register
class TestUserPref2(BaseTestPref, StringPreference):
name = "TestUserPref2"
default = "default value"
@user_preferences_registry.register
class UserBooleanPref(BaseTestPref, BooleanPreference):
name = "SiteBooleanPref"
default = False
@user_preferences_registry.register
class UserStringPref(BaseTestPref, StringPreference):
name = "SUserStringPref"
default = "Hello world!"
# Global
@global_preferences_registry.register
class TestGlobal1(BaseTestPref, StringPreference):
name = "TestGlobal1"
default = "default value"
@global_preferences_registry.register
class TestGlobal2(BaseTestPref, BooleanPreference):
name = "TestGlobal2"
default = False
@global_preferences_registry.register
class TestGlobal3(BaseTestPref, BooleanPreference):
name = "TestGlobal3"
default = False
@global_preferences_registry.register
class ExamDuration(DurationPreference):
section = 'exam'
name = 'duration'
default = timedelta(hours=3)
@global_preferences_registry.register
class RegistrationDate(DatePreference):
section = 'company'
name = 'RegistrationDate'
default = date(1998, 9, 4)
@global_preferences_registry.register
class BirthDateTime(DateTimePreference):
section = Section('child', verbose_name='Child Section Verbose Name')
name = 'BirthDateTime'
default = datetime(1992, 5, 4, 3, 4, 10, 150, FixedOffset(offset=330))
@global_preferences_registry.register
class OpenningTime(TimePreference):
section = 'company'
name = 'OpenningTime'
default = time(hour=8, minute=0)
| 22.915842 | 74 | 0.723698 | 467 | 4,629 | 7.029979 | 0.353319 | 0.138897 | 0.180932 | 0.214438 | 0.322875 | 0.104173 | 0.104173 | 0.033506 | 0 | 0 | 0 | 0.013528 | 0.185569 | 4,629 | 201 | 75 | 23.029851 | 0.857294 | 0.046446 | 0 | 0.330769 | 0 | 0 | 0.125546 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015385 | false | 0 | 0.061538 | 0.007692 | 0.784615 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
917316f1f8cb5714f9ff3f671e9af8937fa996de | 769 | py | Python | test/test_countries_api.py | kinow-io/kinow-python-sdk | 4c1699a3c78048b84287bd049a669651a5b4e2d5 | [
"Apache-2.0"
] | 1 | 2019-06-26T14:24:54.000Z | 2019-06-26T14:24:54.000Z | test/test_countries_api.py | kinow-io/kinow-python-sdk | 4c1699a3c78048b84287bd049a669651a5b4e2d5 | [
"Apache-2.0"
] | null | null | null | test/test_countries_api.py | kinow-io/kinow-python-sdk | 4c1699a3c78048b84287bd049a669651a5b4e2d5 | [
"Apache-2.0"
] | 1 | 2018-02-01T10:08:40.000Z | 2018-02-01T10:08:40.000Z | # coding: utf-8
"""
Server API
Reference for Server API (REST/Json)
OpenAPI spec version: 1.4.58
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import os
import sys
import unittest
import kinow_client
from kinow_client.rest import ApiException
from kinow_client.apis.countries_api import CountriesApi
class TestCountriesApi(unittest.TestCase):
""" CountriesApi unit test stubs """
def setUp(self):
self.api = kinow_client.apis.countries_api.CountriesApi()
def tearDown(self):
pass
def test_get_countries(self):
"""
Test case for get_countries
"""
pass
if __name__ == '__main__':
unittest.main()
| 17.088889 | 68 | 0.674902 | 94 | 769 | 5.287234 | 0.553191 | 0.088531 | 0.060362 | 0.096579 | 0.108652 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008518 | 0.236671 | 769 | 44 | 69 | 17.477273 | 0.83816 | 0.282185 | 0 | 0.125 | 1 | 0 | 0.016495 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0.125 | 0.4375 | 0 | 0.6875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 3 |
9188541815032e6a9c58810261724e7941360e05 | 1,952 | py | Python | flybirds/core/exceptions.py | LinuxSuRen/flybirds | a99027d87f61966c148dbcd314fcef8037c78a17 | [
"MIT"
] | 1 | 2022-01-20T06:46:25.000Z | 2022-01-20T06:46:25.000Z | flybirds/core/exceptions.py | Nightwish555/flybirds | 49de598a52d349ee407d24e6339dfedd8c356cf5 | [
"MIT"
] | null | null | null | flybirds/core/exceptions.py | Nightwish555/flybirds | 49de598a52d349ee407d24e6339dfedd8c356cf5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
flybirds common error
"""
class FlybirdNotFoundException(Exception):
"""
not find flybirds
"""
def __init__(self, message, select_dic, error=None):
message = f"selectors={str(select_dic)} {message}"
if error is not None:
message = f"{message} innerErr:{error}"
super().__init__(message)
self.message = message
def __str__(self):
return str(self.message)
class PositionNotChangeException(Exception):
"""
position not change
"""
def __init__(self, message):
super().__init__(message)
self.message = message
def __str__(self):
return str(self.message)
class FlybirdCallMethodParamsException(Exception):
"""
params error
"""
def __init__(self, method, param_name):
message = f"call method:{method} has invalid params:{param_name}"
super().__init__(message)
self.message = message
def __str__(self):
return str(self.message)
class FlybirdEleExistsException(Exception):
"""
ele not exists
"""
def __init__(self, message):
super().__init__(message)
self.message = message
def __str__(self):
return str(self.message)
class FlybirdVerifyException(Exception):
"""
verify error
"""
def __init__(self, message):
super().__init__()
self.message = message
def __str__(self):
return str(self.message)
class FlybirdPositionChanging(Exception):
"""
position changing
"""
def __init__(self, message):
super().__init__()
self.message = message
def __str__(self):
return str(self.message)
class ScreenRecordException(Exception):
"""
screen record error
"""
def __init__(self, message):
super().__init__()
self.message = message
def __str__(self):
return str(self.message)
| 19.52 | 73 | 0.612193 | 194 | 1,952 | 5.706186 | 0.242268 | 0.198735 | 0.121951 | 0.132791 | 0.503162 | 0.503162 | 0.503162 | 0.503162 | 0.503162 | 0.503162 | 0 | 0.000702 | 0.270492 | 1,952 | 99 | 74 | 19.717172 | 0.776685 | 0.08248 | 0 | 0.717391 | 0 | 0 | 0.068534 | 0.016091 | 0 | 0 | 0 | 0 | 0 | 1 | 0.304348 | false | 0 | 0 | 0.152174 | 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 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 |
91bc6fcef2e317a002b4e3d3a7a2e6700b986cb8 | 1,685 | py | Python | venv/lib/python3.7/site-packages/PyInstaller/hooks/hook-wx.lib.pubsub.py | alexzacher/BMI-Body-Mass-Index-Calculator-APP | f54473757992568b73b066d507059e1053357174 | [
"MIT"
] | 5 | 2020-08-24T23:29:58.000Z | 2022-02-07T19:58:07.000Z | PyInstaller/hooks/hook-wx.lib.pubsub.py | samuelhwilliams/pyinstaller | 8714423aa56803027b5a5585257392024ea9f7a0 | [
"Apache-2.0"
] | 12 | 2020-02-15T04:04:55.000Z | 2022-02-18T20:29:49.000Z | pyinstaller-develop/PyInstaller/hooks/hook-wx.lib.pubsub.py | onecklam/ethereum-graphviz | 6993accf0cb85e23013bf7ae6b04145724a6dbd2 | [
"Apache-2.0"
] | 2 | 2020-08-24T23:30:06.000Z | 2021-12-23T18:23:38.000Z | #-----------------------------------------------------------------------------
# Copyright (c) 2013-2020, PyInstaller Development Team.
#
# Distributed under the terms of the GNU General Public License (version 2
# or later) with exception for distributing the bootloader.
#
# The full license is in the file COPYING.txt, distributed with this software.
#
# SPDX-License-Identifier: (GPL-2.0-or-later WITH Bootloader-exception)
#-----------------------------------------------------------------------------
# Hook for wxPython 2.8.x, 2.9.x, and 3.0.x for Python 2.7.
# Includes submodules of wx.lib.pubsub to handle the way
# wx.lib.pubsub may provide different versions of its API
# according to the order in which certain modules are imported.
from PyInstaller.utils.hooks import collect_submodules, collect_data_files
hiddenimports = collect_submodules('wx.lib.pubsub')
# collect_submodules does not find `pubsub1` or `pubsub2` because
# they are not packages, just folders without an `__init__.py`
# Thus they are invisible to ModuleGraph and must be included as data files
pubsub_datas = collect_data_files('wx.lib.pubsub', include_py_files=True)
def _match(src, dst):
# Since ``pubsub1`` and ``pubsub2`` are directories, they should be in dst.
# However, ``autosetuppubsubv1`` is a ``.py`` file, so it will only appear
# in the ``src``. For example::
#
# pubsub_datas = [('c:\\python27\\lib\\site-packages\\wx-2.8-msw-unicode\\wx\\lib\\pubsub\\autosetuppubsubv1.py',
# 'wx\\lib\\pubsub') ]
return "pubsub1" in dst or "pubsub2" in dst or "autosetuppubsubv1" in src
datas = [(src, dst) for src, dst in pubsub_datas if _match(src, dst)]
| 45.540541 | 121 | 0.660534 | 234 | 1,685 | 4.679487 | 0.517094 | 0.027397 | 0.060274 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022253 | 0.146588 | 1,685 | 36 | 122 | 46.805556 | 0.739221 | 0.734125 | 0 | 0 | 0 | 0 | 0.134118 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0.166667 | 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 | 1 | 1 | 0 | 0 | 3 |
91d0acbd75355c913f1176c429740bffec5e75bb | 2,911 | py | Python | Builds/T PC Windows Version/renpy/curry.py | JManAn/Ingener-a-de-Software-TF | 4eb162f0a2b4d19d0a9e96f9bc0baf17e8cedbfe | [
"MIT"
] | 1 | 2020-07-23T18:33:01.000Z | 2020-07-23T18:33:01.000Z | Builds/T PC Windows Version/renpy/curry.py | JManAn/Ingener-a-de-Software-TF | 4eb162f0a2b4d19d0a9e96f9bc0baf17e8cedbfe | [
"MIT"
] | null | null | null | Builds/T PC Windows Version/renpy/curry.py | JManAn/Ingener-a-de-Software-TF | 4eb162f0a2b4d19d0a9e96f9bc0baf17e8cedbfe | [
"MIT"
] | null | null | null | # Copyright 2004-2019 Tom Rothamel <pytom@bishoujo.us>
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation files
# (the "Software"), to deal in the Software without restriction,
# including without limitation the rights to use, copy, modify, merge,
# publish, distribute, sublicense, and/or sell copies of the Software,
# and to permit persons to whom the Software is furnished to do so,
# subject to the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
from __future__ import print_function
class Curry(object):
"""
Stores a callable and some arguments. When called, calls the
callable with the stored arguments and the additional arguments
supplied to the call.
"""
def __init__(self, callable, *args, **kwargs): # @ReservedAssignment
self.callable = callable
self.args = args
self.kwargs = kwargs
self.__doc__ = getattr(self.callable, "__doc__", None)
def __call__(self, *args, **kwargs):
return self.callable(*(self.args + args),
**dict(self.kwargs.items() + kwargs.items()))
def __repr__(self):
return "<curry %s %r %r>" % (self.callable, self.args, self.kwargs)
def __eq__(self, other):
return (
isinstance(other, Curry) and
self.callable == other.callable and
self.args == other.args and
self.kwargs == other.kwargs)
def __ne__(self, other):
return not (self == other)
def __hash__(self):
return hash(self.callable) ^ hash(self.args) ^ hash(self.kwargs)
def curry(fn):
"""
Takes a callable, and returns something that, when called, returns
something that when called again, calls the function. So
basically, the thing returned from here when called twice does the
same thing as the function called once.
"""
rv = Curry(Curry, fn)
rv.__doc__ = getattr(fn, "__doc__", None)
return rv
def partial(function, *args, **kwargs):
"""
Stores the arguments and keyword arguments of function, and
returns something that, when called, calls the function with
a combination of the supplied arguments and the arguments of
the second call.
"""
return Curry(function, *args, **kwargs)
| 35.072289 | 75 | 0.689797 | 393 | 2,911 | 4.994911 | 0.391858 | 0.044829 | 0.024452 | 0.036679 | 0.048905 | 0.033622 | 0 | 0 | 0 | 0 | 0 | 0.00356 | 0.2281 | 2,911 | 82 | 76 | 35.5 | 0.870049 | 0.57403 | 0 | 0 | 0 | 0 | 0.02627 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.035714 | 0.178571 | 0.607143 | 0.035714 | 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 | 1 | 0 | 0 | 3 |
91e4e2c94f55dab985db9442ebd926db95704ca0 | 91 | py | Python | app/core/mixims/__init__.py | 3darkman/faction-builder-api | 9dda323ef44a1ca0976306a4f20f9cc3e13704ec | [
"MIT"
] | null | null | null | app/core/mixims/__init__.py | 3darkman/faction-builder-api | 9dda323ef44a1ca0976306a4f20f9cc3e13704ec | [
"MIT"
] | null | null | null | app/core/mixims/__init__.py | 3darkman/faction-builder-api | 9dda323ef44a1ca0976306a4f20f9cc3e13704ec | [
"MIT"
] | null | null | null | from .inlineeditlink import InlineEditLinkMixin
__all__ = [
'InlineEditLinkMixin',
]
| 13 | 47 | 0.758242 | 6 | 91 | 10.833333 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.164835 | 91 | 6 | 48 | 15.166667 | 0.855263 | 0 | 0 | 0 | 0 | 0 | 0.208791 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
37f9a8ec33749695cbb2e507e322f28415661186 | 247 | py | Python | public/cgi/tilecache/tilecache_seed.py | l34marr/mapwarper | 0bc844c6a9f002157d0c67d2f792b986be0f9133 | [
"MIT"
] | 1 | 2018-09-01T14:37:39.000Z | 2018-09-01T14:37:39.000Z | public/cgi/tilecache/tilecache_seed.py | miklobit/mapwarper | 8c395dfcc66cd3b0f858584e2cf1e2f74cf21da7 | [
"MIT"
] | 17 | 2017-07-05T16:33:52.000Z | 2017-07-19T03:07:55.000Z | public/cgi/tilecache/tilecache_seed.py | miklobit/mapwarper | 8c395dfcc66cd3b0f858584e2cf1e2f74cf21da7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# BSD Licensed, Copyright (c) 2006-2008 MetaCarta, Inc.
"""This is intended to be run as a command line tool. See the accompanying
README file or man page for details."""
import TileCache.Client
TileCache.Client.main()
| 24.7 | 74 | 0.736842 | 39 | 247 | 4.666667 | 0.948718 | 0.164835 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.038647 | 0.161943 | 247 | 9 | 75 | 27.444444 | 0.84058 | 0.740891 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
37fdd1442f419f2c52e1710e6671bbb0dd809603 | 10,453 | py | Python | 2021/Problem 05.py | christopherliu/advent-of-code | d18b54c538e7af608ba2efd92bf469b28ad5fe98 | [
"MIT"
] | null | null | null | 2021/Problem 05.py | christopherliu/advent-of-code | d18b54c538e7af608ba2efd92bf469b28ad5fe98 | [
"MIT"
] | null | null | null | 2021/Problem 05.py | christopherliu/advent-of-code | d18b54c538e7af608ba2efd92bf469b28ad5fe98 | [
"MIT"
] | null | null | null | vents = """964,133 -> 596,133
920,215 -> 920,976
123,528 -> 123,661
613,13 -> 407,13
373,876 -> 424,876
616,326 -> 120,326
486,335 -> 539,388
104,947 -> 54,947
319,241 -> 282,204
453,175 -> 453,438
485,187 -> 915,617
863,605 -> 603,605
870,524 -> 342,524
967,395 -> 634,62
405,181 -> 807,181
961,363 -> 419,905
89,586 -> 214,461
545,481 -> 731,295
407,678 -> 626,678
421,642 -> 91,312
11,22 -> 935,946
770,208 -> 76,902
668,858 -> 668,890
568,451 -> 574,451
233,56 -> 371,56
233,932 -> 44,932
404,81 -> 796,81
520,77 -> 403,194
296,736 -> 447,887
210,909 -> 16,909
692,483 -> 877,668
777,289 -> 744,289
22,760 -> 652,130
96,360 -> 626,360
101,267 -> 101,783
47,667 -> 660,667
805,682 -> 563,440
112,15 -> 463,366
406,808 -> 430,808
793,767 -> 107,81
560,534 -> 958,534
722,429 -> 722,459
646,889 -> 646,195
433,942 -> 449,958
716,503 -> 716,99
266,450 -> 266,780
316,81 -> 565,81
760,452 -> 687,452
976,983 -> 15,22
499,564 -> 499,909
839,913 -> 38,112
707,333 -> 438,333
47,644 -> 352,644
807,309 -> 807,706
434,686 -> 812,308
559,572 -> 63,76
493,352 -> 581,352
94,88 -> 928,88
898,738 -> 106,738
201,10 -> 564,10
976,914 -> 976,472
836,153 -> 585,153
178,43 -> 17,204
784,967 -> 738,967
370,359 -> 449,359
13,526 -> 637,526
399,158 -> 10,158
572,293 -> 289,293
627,674 -> 895,674
921,402 -> 984,402
907,667 -> 944,704
574,877 -> 882,569
977,977 -> 121,121
550,584 -> 862,584
396,556 -> 396,289
391,33 -> 532,174
12,988 -> 989,11
48,787 -> 48,637
476,638 -> 113,638
985,985 -> 13,13
838,784 -> 198,784
567,195 -> 677,305
174,251 -> 577,654
296,801 -> 53,558
983,899 -> 983,380
507,230 -> 507,929
264,516 -> 668,920
865,952 -> 865,768
522,290 -> 744,512
936,958 -> 936,115
527,871 -> 527,519
944,972 -> 21,49
880,380 -> 695,565
471,374 -> 446,349
503,597 -> 127,221
471,514 -> 30,73
890,232 -> 890,511
14,461 -> 14,853
167,676 -> 148,676
987,230 -> 754,230
797,725 -> 797,847
347,21 -> 84,21
839,274 -> 964,274
607,456 -> 894,456
335,949 -> 301,949
167,236 -> 820,889
87,558 -> 87,917
318,788 -> 622,484
699,583 -> 699,321
971,967 -> 35,31
420,44 -> 420,36
29,484 -> 458,484
768,157 -> 768,30
690,839 -> 317,839
870,578 -> 560,578
697,195 -> 70,822
689,45 -> 689,223
790,724 -> 341,724
694,291 -> 694,507
43,339 -> 43,987
590,733 -> 590,179
751,361 -> 945,361
99,820 -> 450,469
460,696 -> 942,696
783,940 -> 487,644
630,537 -> 48,537
643,856 -> 643,396
558,733 -> 257,432
16,972 -> 570,418
636,188 -> 636,610
868,138 -> 868,407
85,424 -> 85,919
710,932 -> 354,576
356,505 -> 783,505
606,876 -> 606,62
577,431 -> 749,431
108,262 -> 108,145
615,455 -> 264,104
205,754 -> 866,754
189,182 -> 855,848
10,43 -> 925,958
293,773 -> 293,534
746,313 -> 802,369
607,174 -> 211,570
860,840 -> 260,240
879,78 -> 595,78
11,143 -> 449,143
190,983 -> 267,983
912,92 -> 76,928
744,364 -> 744,258
436,417 -> 46,807
629,592 -> 517,592
113,893 -> 113,959
714,213 -> 786,285
868,165 -> 868,731
349,69 -> 491,69
278,430 -> 111,263
593,849 -> 593,203
156,860 -> 876,860
169,615 -> 169,984
983,93 -> 139,937
94,548 -> 18,548
623,72 -> 106,589
530,334 -> 473,334
384,746 -> 925,205
711,74 -> 28,757
850,728 -> 629,949
378,801 -> 228,651
347,968 -> 201,822
82,578 -> 82,555
149,405 -> 707,963
254,169 -> 793,169
443,454 -> 331,454
460,659 -> 608,807
838,807 -> 31,807
561,952 -> 290,952
755,626 -> 204,75
550,424 -> 550,81
772,115 -> 772,600
40,517 -> 40,232
277,841 -> 317,841
899,150 -> 128,921
735,332 -> 465,332
839,254 -> 915,330
959,616 -> 182,616
729,723 -> 487,965
64,838 -> 953,838
689,830 -> 689,982
191,83 -> 191,879
522,833 -> 942,833
877,785 -> 877,346
255,95 -> 556,95
782,491 -> 475,798
268,815 -> 812,271
119,181 -> 905,181
445,457 -> 742,160
973,30 -> 27,976
356,681 -> 356,289
882,279 -> 914,279
672,162 -> 672,153
180,729 -> 357,729
985,716 -> 985,313
191,618 -> 191,963
949,749 -> 636,749
289,902 -> 142,902
923,615 -> 123,615
710,929 -> 541,760
211,402 -> 211,433
515,178 -> 533,178
525,869 -> 525,578
201,569 -> 17,569
629,848 -> 882,848
152,512 -> 152,189
914,723 -> 764,723
218,231 -> 721,734
438,382 -> 846,382
582,475 -> 582,559
529,943 -> 529,683
330,312 -> 59,312
242,900 -> 862,900
271,220 -> 271,118
182,459 -> 182,673
513,265 -> 513,420
918,942 -> 378,942
277,765 -> 812,230
625,874 -> 219,874
737,533 -> 644,626
647,975 -> 152,480
638,284 -> 785,284
549,680 -> 549,877
886,278 -> 372,792
130,560 -> 516,174
186,741 -> 186,555
208,536 -> 469,536
674,906 -> 312,906
934,156 -> 934,322
568,412 -> 214,412
243,19 -> 243,814
861,230 -> 104,987
683,891 -> 683,533
545,740 -> 545,980
343,320 -> 796,320
821,220 -> 821,302
578,741 -> 578,141
633,405 -> 27,405
645,975 -> 225,555
25,527 -> 412,527
378,817 -> 378,913
352,741 -> 352,293
48,986 -> 925,109
506,231 -> 491,231
854,883 -> 48,77
261,221 -> 895,855
902,240 -> 902,943
145,338 -> 770,963
832,216 -> 832,869
480,385 -> 324,385
644,202 -> 433,202
202,176 -> 190,176
668,693 -> 668,349
95,230 -> 143,230
873,144 -> 67,950
232,509 -> 238,509
963,43 -> 133,873
527,631 -> 641,517
363,61 -> 849,61
72,326 -> 72,861
542,801 -> 233,492
247,48 -> 247,785
972,563 -> 480,71
362,870 -> 932,300
263,811 -> 263,584
556,157 -> 417,157
946,900 -> 175,129
790,542 -> 530,542
777,195 -> 154,818
71,764 -> 71,193
197,13 -> 453,13
664,714 -> 158,714
257,819 -> 257,730
796,927 -> 688,927
124,53 -> 954,883
30,16 -> 980,966
84,151 -> 597,151
840,776 -> 684,776
548,460 -> 718,630
291,635 -> 291,151
948,43 -> 58,933
373,483 -> 373,591
309,81 -> 259,81
692,808 -> 692,835
737,112 -> 215,634
808,595 -> 808,115
160,912 -> 973,99
494,191 -> 494,475
713,925 -> 43,255
736,580 -> 290,134
257,679 -> 725,211
464,81 -> 712,81
35,147 -> 35,420
372,159 -> 372,548
508,228 -> 682,402
120,491 -> 518,889
139,948 -> 272,815
398,523 -> 398,818
935,50 -> 40,945
415,959 -> 195,739
250,868 -> 250,930
77,60 -> 917,900
584,389 -> 493,298
362,163 -> 362,704
670,740 -> 670,703
689,297 -> 689,388
988,572 -> 988,340
238,248 -> 238,916
748,753 -> 29,34
184,565 -> 184,486
812,217 -> 812,34
60,140 -> 96,104
826,673 -> 230,673
221,221 -> 207,235
449,483 -> 270,304
805,810 -> 805,564
952,52 -> 139,865
428,967 -> 312,851
854,673 -> 661,673
985,209 -> 853,209
523,365 -> 54,365
492,171 -> 646,171
908,853 -> 69,14
38,698 -> 724,12
400,479 -> 167,479
948,313 -> 948,976
280,145 -> 37,145
206,858 -> 683,381
203,413 -> 545,413
726,173 -> 673,173
30,954 -> 150,954
319,592 -> 870,41
808,91 -> 180,719
845,612 -> 972,485
160,430 -> 160,780
19,339 -> 379,339
476,550 -> 476,291
341,785 -> 229,673
371,476 -> 371,663
509,836 -> 412,933
980,20 -> 31,969
822,526 -> 328,32
859,314 -> 425,314
963,961 -> 963,100
984,978 -> 31,25
659,251 -> 619,211
649,477 -> 846,477
32,259 -> 724,951
468,753 -> 468,91
690,301 -> 690,652
436,912 -> 845,503
32,123 -> 576,667
142,79 -> 741,678
610,228 -> 468,370
172,667 -> 172,736
961,700 -> 132,700
804,875 -> 804,213
71,970 -> 340,970
171,52 -> 149,30
754,604 -> 226,604
485,941 -> 27,941
126,383 -> 328,181
41,39 -> 987,985
128,62 -> 896,830
414,278 -> 923,787
712,15 -> 712,859
794,35 -> 200,629
516,147 -> 402,261
526,862 -> 905,862
721,407 -> 721,887
728,920 -> 339,920
117,417 -> 203,417
291,561 -> 17,835
171,359 -> 837,359
93,125 -> 136,125
220,226 -> 220,177
75,434 -> 75,407
235,664 -> 141,664
553,490 -> 566,477
487,651 -> 487,877
699,150 -> 933,384
73,556 -> 453,556
363,371 -> 363,984
905,106 -> 668,106
139,271 -> 139,125
466,379 -> 466,420
12,935 -> 625,935
89,892 -> 779,892
119,701 -> 270,852
354,886 -> 80,886
917,376 -> 440,376
23,182 -> 794,953
451,718 -> 121,718
62,251 -> 62,451
642,74 -> 642,698
425,200 -> 442,200
828,175 -> 828,405
751,743 -> 591,743
569,681 -> 574,681
329,187 -> 329,837
302,592 -> 302,230
359,135 -> 386,108
44,234 -> 44,731
836,305 -> 836,574
170,512 -> 367,512
576,699 -> 576,44
398,185 -> 821,185
733,78 -> 733,747
141,183 -> 141,787
65,360 -> 65,691
828,780 -> 828,98
776,744 -> 776,751
881,74 -> 481,474
438,642 -> 438,399
676,972 -> 175,972
60,318 -> 56,314
312,169 -> 341,169
736,472 -> 392,128
225,281 -> 164,281
407,799 -> 341,799
458,826 -> 983,301
12,988 -> 987,13
23,854 -> 662,215
82,863 -> 82,416
542,708 -> 542,44
659,51 -> 520,51
353,246 -> 353,90
985,976 -> 77,68
628,493 -> 628,510
51,48 -> 635,48
97,814 -> 828,83
14,44 -> 773,44
603,178 -> 597,178
11,220 -> 783,220
613,39 -> 613,719
68,303 -> 690,925
121,974 -> 896,199
343,54 -> 343,837
744,303 -> 744,942
678,370 -> 246,370
937,134 -> 84,987
357,333 -> 357,516
848,212 -> 429,631
909,244 -> 138,244
122,794 -> 786,130
274,611 -> 57,611
66,337 -> 385,18
847,356 -> 831,356
740,480 -> 740,359
194,443 -> 194,301
50,564 -> 572,42
86,587 -> 774,587
708,258 -> 49,917
420,530 -> 277,387
509,580 -> 509,71
237,196 -> 479,196
442,287 -> 850,287
830,393 -> 532,393
274,720 -> 501,493
610,565 -> 218,957
380,393 -> 380,800
237,847 -> 155,847
267,791 -> 52,791
275,772 -> 275,794
239,238 -> 419,418
200,785 -> 884,101
185,980 -> 185,284
47,46 -> 750,749
724,661 -> 724,337
630,349 -> 666,349
21,911 -> 21,569
661,562 -> 661,925
41,898 -> 41,104
988,67 -> 105,67
739,65 -> 868,65
187,973 -> 809,973
730,211 -> 255,686
254,445 -> 254,872
622,364 -> 235,751
402,980 -> 761,621
46,488 -> 960,488
799,708 -> 799,862
909,181 -> 909,189
450,266 -> 450,304
631,584 -> 631,455
164,830 -> 744,250
679,755 -> 690,744
949,26 -> 190,785
695,783 -> 218,783
269,151 -> 40,151
166,152 -> 22,152
281,819 -> 922,178
956,649 -> 956,593"""
vents2="""0,9 -> 5,9
8,0 -> 0,8
9,4 -> 3,4
2,2 -> 2,1
7,0 -> 7,4
6,4 -> 2,0
0,9 -> 2,9
3,4 -> 1,4
0,0 -> 8,8
5,5 -> 8,2"""
size=1000
map = [[0 for x in range(size)] for y in range(size)]
#print(map)
for vent in vents.splitlines():
line = vent.split(" -> ")
x1, y1 = [int(digit) for digit in line[0].split(",")]
x2, y2 = [int(digit) for digit in line[1].split(",")]
if x1 == x2:
y_min = min(y1, y2)
y_max = max(y1, y2)
#print(x1, y_min, y_max)
for y in range(y_min, y_max + 1):
map[y][x1] += 1
elif y1 == y2:
x_min = min(x1, x2)
x_max = max(x1, x2)
#print(y1, x_min, x_max)
for x in range(x_min, x_max + 1):
map[y1][x] += 1
else:
dx = 1 if x2 > x1 else -1
dy = 1 if y2 > y1 else -1
range_x = range(x1, x2 + dx, dx)
range_y = range(y1, y2 + dy, dy)
for y, x in zip(range_y, range_x):
map[y][x] += 1
overlap = 0
for row in map:
for cell in row:
#print(cell)
if cell > 1:
overlap += 1
print("\n".join([",".join([str(digit) for digit in line]) for line in map]))
print(overlap) | 19.074818 | 76 | 0.605376 | 2,225 | 10,453 | 2.836854 | 0.381573 | 0.004436 | 0.006179 | 0.007129 | 0.009981 | 0.006971 | 0 | 0 | 0 | 0 | 0 | 0.683312 | 0.181957 | 10,453 | 548 | 77 | 19.074818 | 0.054847 | 0.00641 | 0 | 0 | 0 | 0 | 0.902629 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.003704 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
53070e56f4ba88edc26dadfd4c72df3dbe773ef4 | 94 | py | Python | MacGybot/__init__.py | MathieuBrillard/le_tavernier | 45f27bb20b47478f5d2ea92c2433cfffb32ddbb8 | [
"MIT"
] | null | null | null | MacGybot/__init__.py | MathieuBrillard/le_tavernier | 45f27bb20b47478f5d2ea92c2433cfffb32ddbb8 | [
"MIT"
] | null | null | null | MacGybot/__init__.py | MathieuBrillard/le_tavernier | 45f27bb20b47478f5d2ea92c2433cfffb32ddbb8 | [
"MIT"
] | null | null | null | # Bot's version number
__version__ = "0.1.0"
# Authorized guild
GUILD_ID = 952941520867196958 | 18.8 | 29 | 0.765957 | 13 | 94 | 5.153846 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.259259 | 0.138298 | 94 | 5 | 29 | 18.8 | 0.567901 | 0.393617 | 0 | 0 | 0 | 0 | 0.090909 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
531e503936efcf2598b2dd48576390641090c2b8 | 256 | py | Python | lib/append_text.py | millengustavo/arauto | 98921954a52f89f2fe0b836000809095ac8a70e1 | [
"Apache-2.0"
] | 106 | 2019-11-28T13:15:35.000Z | 2022-01-17T08:12:37.000Z | lib/append_text.py | millengustavo/arauto | 98921954a52f89f2fe0b836000809095ac8a70e1 | [
"Apache-2.0"
] | 7 | 2019-11-14T03:06:52.000Z | 2019-11-25T04:17:51.000Z | lib/append_text.py | millengustavo/arauto | 98921954a52f89f2fe0b836000809095ac8a70e1 | [
"Apache-2.0"
] | 22 | 2019-12-05T19:31:16.000Z | 2021-12-09T15:57:46.000Z | def append_text(new_text):
'''
Write the code instruction to be exported later on
Args.
new_text (str): the text that will be appended to the base string
'''
global code_base_text
code_base_text = code_base_text + new_text | 25.6 | 73 | 0.683594 | 40 | 256 | 4.125 | 0.525 | 0.127273 | 0.218182 | 0.193939 | 0.218182 | 0.218182 | 0 | 0 | 0 | 0 | 0 | 0 | 0.257813 | 256 | 10 | 74 | 25.6 | 0.868421 | 0.496094 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
534b5b08ed175e056d79ae435bf24aa996a77712 | 111 | py | Python | 26.10.2019/challenge.py | KruZZy/coderdojo-python | 0f9920de24c0ff8733badb81daed1e590825662c | [
"MIT"
] | null | null | null | 26.10.2019/challenge.py | KruZZy/coderdojo-python | 0f9920de24c0ff8733badb81daed1e590825662c | [
"MIT"
] | null | null | null | 26.10.2019/challenge.py | KruZZy/coderdojo-python | 0f9920de24c0ff8733badb81daed1e590825662c | [
"MIT"
] | null | null | null | n=int(input ('veverite'))
if n %2==0: print ('par')
else: print ('impar')
print('par' if n%2==0 else 'impar')
| 18.5 | 35 | 0.594595 | 21 | 111 | 3.142857 | 0.52381 | 0.090909 | 0.121212 | 0.151515 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042105 | 0.144144 | 111 | 5 | 36 | 22.2 | 0.652632 | 0 | 0 | 0 | 0 | 0 | 0.216216 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.75 | 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 | 1 | 0 | 3 |
536df475d18a12b7f4f32b7a3c95e29482f2681a | 10,427 | py | Python | src/tests/docs/t_conduit_docs_tutorial_python_relay_mpi_examples.py | kant/conduit | 420c69805942a77c10fa29f773f101eb61793f04 | [
"BSD-3-Clause"
] | null | null | null | src/tests/docs/t_conduit_docs_tutorial_python_relay_mpi_examples.py | kant/conduit | 420c69805942a77c10fa29f773f101eb61793f04 | [
"BSD-3-Clause"
] | null | null | null | src/tests/docs/t_conduit_docs_tutorial_python_relay_mpi_examples.py | kant/conduit | 420c69805942a77c10fa29f773f101eb61793f04 | [
"BSD-3-Clause"
] | null | null | null | ###############################################################################
# Copyright (c) 2014-2019, Lawrence Livermore National Security, LLC.
#
# Produced at the Lawrence Livermore National Laboratory
#
# LLNL-CODE-666778
#
# All rights reserved.
#
# This file is part of Conduit.
#
# For details, see: http://software.llnl.gov/conduit/.
#
# Please also read conduit/LICENSE
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice,
# this list of conditions and the disclaimer below.
#
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the disclaimer (as noted below) in the
# documentation and/or other materials provided with the distribution.
#
# * Neither the name of the LLNS/LLNL 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 LAWRENCE LIVERMORE NATIONAL SECURITY,
# LLC, THE U.S. DEPARTMENT OF ENERGY 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.
#
###############################################################################
"""
file: t_conduit_docs_tutorial_python_relay_mpi_examples.py
"""
import sys
import unittest
import inspect
import numpy
def BEGIN_EXAMPLE(tag):
from mpi4py import MPI
MPI.COMM_WORLD.Barrier()
if MPI.COMM_WORLD.rank == 0:
print('\nBEGIN_EXAMPLE("' + tag + '")')
MPI.COMM_WORLD.Barrier()
def END_EXAMPLE(tag):
from mpi4py import MPI
MPI.COMM_WORLD.Barrier()
if MPI.COMM_WORLD.rank == 0:
print('\nEND_EXAMPLE("' + tag + '")')
MPI.COMM_WORLD.Barrier()
class Conduit_Tutorial_Python_Relay_IO_Handle(unittest.TestCase):
def test_001_mpi_send_and_recv_using_schema(self):
# skip tests on windows until we work out proper
# mpi4py install for our windows ci
if sys.platform == "win32":
return
BEGIN_EXAMPLE("py_mpi_send_and_recv_using_schema")
import conduit
import conduit.relay as relay
import conduit.relay.mpi
from mpi4py import MPI
# Note: example expects 2 mpi tasks
# get a comm id from mpi4py world comm
comm_id = MPI.COMM_WORLD.py2f()
# get our rank and the comm's size
comm_rank = relay.mpi.rank(comm_id)
comm_size = relay.mpi.size(comm_id)
# send a node and its schema from rank 0 to rank 1
n = conduit.Node()
if comm_rank == 0:
# setup node to send on rank 0
n["a/data"] = 1.0
n["a/more_data"] = 2.0
n["a/b/my_string"] = "value"
# show node data on rank 0
if comm_rank == 0:
print("[rank: {}] sending: {}".format(comm_rank,n.to_yaml()))
if comm_rank == 0:
relay.mpi.send_using_schema(n,dest=1,tag=0,comm=comm_id)
else:
relay.mpi.recv_using_schema(n,source=0,tag=0,comm=comm_id)
# show received node data on rank 1
if comm_rank == 1:
print("[rank: {}] received: {}".format(comm_rank,n.to_yaml()))
END_EXAMPLE("py_mpi_send_and_recv_using_schema")
def test_002_mpi_send_and_recv(self):
# skip tests on windows until we work out proper
# mpi4py install for our windows ci
if sys.platform == "win32":
return
BEGIN_EXAMPLE("py_mpi_send_and_recv")
import conduit
import conduit.relay as relay
import conduit.relay.mpi
from mpi4py import MPI
# Note: example expects 2 mpi tasks
# get a comm id from mpi4py world comm
comm_id = MPI.COMM_WORLD.py2f()
# get our rank and the comm's size
comm_rank = relay.mpi.rank(comm_id)
comm_size = relay.mpi.size(comm_id)
# send data from a node on rank 0 to rank 1
# (both ranks have nodes with compatible schemas)
n = conduit.Node(conduit.DataType.int64(4))
if comm_rank == 0:
# setup node to send on rank 0
vals = n.value()
for i in range(4):
vals[i] = i * i
# show node data on rank 0
if comm_rank == 0:
print("[rank: {}] sending: {}".format(comm_rank,n.to_yaml()))
if comm_rank == 0:
relay.mpi.send(n,dest=1,tag=0,comm=comm_id)
else:
relay.mpi.recv(n,source=0,tag=0,comm=comm_id)
# show received node data on rank 1
if comm_rank == 1:
print("[rank: {}] received: {}".format(comm_rank,n.to_yaml()))
END_EXAMPLE("py_mpi_send_and_recv")
def test_003_mpi_bcast_using_schema(self):
# skip tests on windows until we work out proper
# mpi4py install for our windows ci
if sys.platform == "win32":
return
BEGIN_EXAMPLE("py_mpi_bcast_using_schema")
import conduit
import conduit.relay as relay
import conduit.relay.mpi
from mpi4py import MPI
# Note: example expects 2 mpi tasks
# get a comm id from mpi4py world comm
comm_id = MPI.COMM_WORLD.py2f()
# get our rank and the comm's size
comm_rank = relay.mpi.rank(comm_id)
comm_size = relay.mpi.size(comm_id)
# send a node and its schema from rank 0 to rank 1
n = conduit.Node()
if comm_rank == 0:
# setup node to broadcast on rank 0
n["a/data"] = 1.0
n["a/more_data"] = 2.0
n["a/b/my_string"] = "value"
# show node data on rank 0
if comm_rank == 0:
print("[rank: {}] broadcasting: {}".format(comm_rank,n.to_yaml()))
relay.mpi.broadcast_using_schema(n,root=0,comm=comm_id)
# show received node data on rank 1
if comm_rank == 1:
print("[rank: {}] received: {}".format(comm_rank,n.to_yaml()))
END_EXAMPLE("py_mpi_bcast_using_schema")
def test_004_mpi_bcast_using_schema(self):
# skip tests on windows until we work out proper
# mpi4py install for our windows ci
if sys.platform == "win32":
return
BEGIN_EXAMPLE("py_mpi_bcast")
import conduit
import conduit.relay as relay
import conduit.relay.mpi
from mpi4py import MPI
# Note: example expects 2 mpi tasks
# get a comm id from mpi4py world comm
comm_id = MPI.COMM_WORLD.py2f()
# get our rank and the comm's size
comm_rank = relay.mpi.rank(comm_id)
comm_size = relay.mpi.size(comm_id)
# send data from a node on rank 0 to rank 1
# (both ranks have nodes with compatible schemas)
n = conduit.Node(conduit.DataType.int64(4))
if comm_rank == 0:
# setup node to send on rank 0
vals = n.value()
for i in range(4):
vals[i] = i * i
# show node data on rank 0
if comm_rank == 0:
print("[rank: {}] broadcasting: {}".format(comm_rank,n.to_yaml()))
relay.mpi.broadcast_using_schema(n,root=0,comm=comm_id)
# show received node data on rank 1
if comm_rank == 1:
print("[rank: {}] received: {}".format(comm_rank,n.to_yaml()))
END_EXAMPLE("py_mpi_bcast")
def test_005_mpi_sum_all_reduce(self):
# skip tests on windows until we work out proper
# mpi4py install for our windows ci
if sys.platform == "win32":
return
BEGIN_EXAMPLE("py_mpi_sum_all_reduce")
import conduit
import conduit.relay as relay
import conduit.relay.mpi
from mpi4py import MPI
# get a comm id from mpi4py world comm
comm_id = MPI.COMM_WORLD.py2f()
# get our rank and the comm's size
comm_rank = relay.mpi.rank(comm_id)
comm_size = relay.mpi.size(comm_id)
# gather data all ranks
# (ranks have nodes with compatible schemas)
n = conduit.Node(conduit.DataType.int64(4))
n_res = conduit.Node(conduit.DataType.int64(4))
# data to reduce
vals = n.value()
for i in range(4):
vals[i] = 1
relay.mpi.sum_all_reduce(n,n_res,comm=comm_id)
# answer should be an array with each value == comm_size
# show result on rank 0
if comm_rank == 0:
print("[rank: {}] sum reduce result: {}".format(comm_rank,n_res.to_yaml()))
END_EXAMPLE("py_mpi_sum_all_reduce")
def test_006_mpi_all_gather(self):
# skip tests on windows until we work out proper
# mpi4py install for our windows ci
if sys.platform == "win32":
return
BEGIN_EXAMPLE("py_mpi_all_gather_using_schema")
import conduit
import conduit.relay as relay
import conduit.relay.mpi
from mpi4py import MPI
# get a comm id from mpi4py world comm
comm_id = MPI.COMM_WORLD.py2f()
# get our rank and the comm's size
comm_rank = relay.mpi.rank(comm_id)
comm_size = relay.mpi.size(comm_id)
n = conduit.Node(conduit.DataType.int64(4))
n_res = conduit.Node()
# data to gather
vals = n.value()
for i in range(4):
vals[i] = comm_rank
relay.mpi.all_gather_using_schema(n,n_res,comm=comm_id)
# show result on rank 0
if comm_rank == 0:
print("[rank: {}] all gather using schema result: {}".format(comm_rank,n_res.to_yaml()))
END_EXAMPLE("py_mpi_all_gather_using_schema")
| 34.87291 | 100 | 0.615709 | 1,489 | 10,427 | 4.163868 | 0.171256 | 0.042581 | 0.025806 | 0.02129 | 0.735806 | 0.712742 | 0.687258 | 0.682581 | 0.680806 | 0.680806 | 0 | 0.020305 | 0.282056 | 10,427 | 298 | 101 | 34.989933 | 0.807908 | 0.355328 | 0 | 0.741722 | 0 | 0 | 0.106004 | 0.033736 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05298 | false | 0 | 0.198676 | 0 | 0.298013 | 0.07947 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 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 | 3 |
7255f74003cbb1979ee3f6a0a1886c9557fe94cc | 2,486 | py | Python | parser/fase2/team24/c3d.py | NedHerrera/tytus | 7e16e8242beeb7f0b90aa1c9b9f01141d7d79a0f | [
"MIT"
] | null | null | null | parser/fase2/team24/c3d.py | NedHerrera/tytus | 7e16e8242beeb7f0b90aa1c9b9f01141d7d79a0f | [
"MIT"
] | null | null | null | parser/fase2/team24/c3d.py | NedHerrera/tytus | 7e16e8242beeb7f0b90aa1c9b9f01141d7d79a0f | [
"MIT"
] | null | null | null | from InstruccionesDGA import tabla
from datetime import date
from InstruccionesDGA import cont
from InstruccionesDGA import NombreDB
from tablaDGA import *
from sql import *
import mathtrig as mt
#Funcion sql.execute
pila = []
for i in range(100):
pila.append(i)
def ejecutar():
n_db = tabla.id_db(NombreDB)
NuevoSimbolo = Simbolo(cont,'CALCULOS',TIPO.FUNCTION,n_db)
cont+=1
ambitoFuncion = buscarIDF(cont)
NuevoSimbolo = TAS.Simbolo(cont,'SENO',TIPO.DECIMAL,ambitoFuncion,None, None, None, None, None, None, None ,None,None,None, None,False,False)
tabla.agregar(NuevoSimbolo)
cont+=1
ambitoFuncion = buscarIDF(cont)
NuevoSimbolo = TAS.Simbolo(cont,'VALOR',TIPO.INTEGER,ambitoFuncion,None, None, None, None, None, None, None ,None,None,None, None,False,False)
tabla.agregar(NuevoSimbolo)
cont+=1
ambitoFuncion = buscarIDF(cont)
NuevoSimbolo = TAS.Simbolo(cont,'ABSOLUTO',TIPO.DECIMAL,ambitoFuncion,None, None, None, None, None, None, None ,None,None,None, None,False,False)
tabla.agregar(NuevoSimbolo)
cont+=1
tabla.modificar_valor(hora, t0)
tabla.modificar_valor(SENO, t1)
tabla.modificar_valor(texto, t2)
tabla.modificar_valor(VALOR, t3)
tabla.modificar_valor(VALOR, len(str(t4)))
tabla.modificar_valor(ABSOLUTO, abs(mt.sinh(t5)))
tabla.modificar_valor(ABSOLUTO, t8)
tabla.modificar_valor(VALOR, t12)
tabla.modificar_valor(VALOR, t13)
n_db = tabla.id_db(NombreDB)
NuevoSimbolo = Simbolo(cont,'ayuda',TIPO.FUNCTION,n_db)
cont+=1
def CALCULOS():
SENO = 0
VALOR = 0
ABSOLUTO = 0
nombre = pila[0]
t0 = 999
hora = t0
t1 = 999
SENO = t1
t2 = 'fase 2'
texto = t2
t3 = 999
VALOR = t3
t4 = texto
VALOR = len(str(t4))
t5 = -1
ABSOLUTO = abs(mt.sinh(t5))
t6 = 5
t7 = 225
t8 = t6 * mt.sqrt(float(t7))
ABSOLUTO = t8
t9 = VALOR
t10 = 1
t11 = t9 > t10
if t11:
t12 = 20
VALOR = t12
else:
t13 = 10
VALOR = t13
t14 = VALOR
pila[10] = t14
def ayuda():
aas = pila[0]
t15 = aas
pila[10] = t15
NuevoSimbolo = Simbolo(cont,sp_validainsert,TIPO.FUNCTION,n_db)
cont+=1
insert into tbbodega values ( 1 BODEGA CENTRAL 1 ) ; insert into tbbodega idbodega bodega values ( 2 BODEGA ZONA 12 ) ; insert into tbbodega ( idbodega, bodega) estado values ( 3 BODEGA ZONA 11 1 ) ; insert into tbbodega ( idbodega, bodega) estado values ( 4 BODEGA ZONA 1 1 ) ; insert into tbbodega ( idbodega, bodega) estado values ( 5 BODEGA ZONA 10 1 ) ;def sp_validainsert():
ejecutar() | 21.247863 | 382 | 0.701126 | 364 | 2,486 | 4.739011 | 0.266484 | 0.13913 | 0.187826 | 0.222609 | 0.473623 | 0.451594 | 0.40058 | 0.375072 | 0.322899 | 0.24 | 0 | 0.053642 | 0.182623 | 2,486 | 117 | 383 | 21.247863 | 0.795276 | 0 | 0 | 0.179487 | 0 | 0 | 0.014593 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.089744 | null | null | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
727f6a78c6aefc49a82f68e1c536c3256c57db0f | 1,088 | py | Python | attendees/context_processors.py | xjlin0/attendees | 3c337ee68c00f17cbbbe26f2e33131e57850e4ed | [
"MIT"
] | 1 | 2020-03-26T00:42:04.000Z | 2020-03-26T00:42:04.000Z | attendees/context_processors.py | xjlin0/attendees | 3c337ee68c00f17cbbbe26f2e33131e57850e4ed | [
"MIT"
] | null | null | null | attendees/context_processors.py | xjlin0/attendees | 3c337ee68c00f17cbbbe26f2e33131e57850e4ed | [
"MIT"
] | null | null | null | from pytz import timezone
from datetime import datetime
from django.conf import settings
from urllib import parse
from attendees.users.models import Menu
def common_variables(request): # TODO move organization info to view
tzname = request.COOKIES.get('timezone') or settings.CLIENT_DEFAULT_TIME_ZONE
user_organization_name = settings.PROJECT_NAME
user_organization_name_slug = '0_organization_slug'
main_menus = Menu.objects.filter(
auth_groups__in=request.user.groups.all(),
category='main',
menuauthgroup__read=True,
).distinct()
if request.user.is_authenticated and request.user.organization:
user_organization = request.user.organization
user_organization_name = user_organization.display_name
user_organization_name_slug = user_organization.slug
return {
'timezone_name': datetime.now(timezone(parse.unquote(tzname))).tzname(),
'user_organization_name': user_organization_name,
'user_organization_name_slug': user_organization_name_slug,
'main_menus': main_menus,
}
| 38.857143 | 81 | 0.752757 | 131 | 1,088 | 5.938931 | 0.442748 | 0.267352 | 0.205656 | 0.123393 | 0.321337 | 0.159383 | 0.113111 | 0 | 0 | 0 | 0 | 0.00111 | 0.171875 | 1,088 | 27 | 82 | 40.296296 | 0.862375 | 0.032169 | 0 | 0 | 0 | 0 | 0.098002 | 0.046622 | 0 | 0 | 0 | 0.037037 | 0 | 1 | 0.041667 | false | 0 | 0.208333 | 0 | 0.291667 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
728906e6cbafc89e496c4ac3f7f6792b2bbb4b47 | 115 | py | Python | LABORATORIO 2/factorial.py | msolivera/Phyton | 1322fa2ff4bb06a17350fefa7e5268c0969e5b53 | [
"bzip2-1.0.6"
] | null | null | null | LABORATORIO 2/factorial.py | msolivera/Phyton | 1322fa2ff4bb06a17350fefa7e5268c0969e5b53 | [
"bzip2-1.0.6"
] | null | null | null | LABORATORIO 2/factorial.py | msolivera/Phyton | 1322fa2ff4bb06a17350fefa7e5268c0969e5b53 | [
"bzip2-1.0.6"
] | null | null | null | def factorial(n):
if n==0:
return 1
else:
return factorial(n-1)*n
print(factorial(80))
| 16.428571 | 31 | 0.53913 | 17 | 115 | 3.647059 | 0.588235 | 0.322581 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.064935 | 0.330435 | 115 | 6 | 32 | 19.166667 | 0.74026 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 0 | 0.5 | 0.166667 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
729177ea0b43f6986a1c6cebc61b8b4af0c24565 | 458 | py | Python | python/ql/test/3/query-tests/Expressions/Arguments/wrong_arguments.py | vadi2/codeql | a806a4f08696d241ab295a286999251b56a6860c | [
"MIT"
] | 4,036 | 2020-04-29T00:09:57.000Z | 2022-03-31T14:16:38.000Z | python/ql/test/3/query-tests/Expressions/Arguments/wrong_arguments.py | vadi2/codeql | a806a4f08696d241ab295a286999251b56a6860c | [
"MIT"
] | 2,970 | 2020-04-28T17:24:18.000Z | 2022-03-31T22:40:46.000Z | python/ql/test/3/query-tests/Expressions/Arguments/wrong_arguments.py | ScriptBox99/github-codeql | 2ecf0d3264db8fb4904b2056964da469372a235c | [
"MIT"
] | 794 | 2020-04-29T00:28:25.000Z | 2022-03-30T08:21:46.000Z | #Make sure that we handle keyword-only arguments correctly
def f(a, *varargs, kw1, kw2="has-default"):
pass
#OK
f(1, 2, 3, kw1=1)
f(1, 2, kw1=1, kw2=2)
#Not OK
f(1, 2, 3, kw1=1, kw3=3)
f(1, 2, 3, kw3=3)
#ODASA-5897
def analyze_member_access(msg, *, original, override, chk: 'default' = None):
pass
def ok():
return analyze_member_access(msg, original=original, chk=chk)
def bad():
return analyze_member_access(msg, original, chk=chk)
| 18.32 | 77 | 0.663755 | 82 | 458 | 3.634146 | 0.439024 | 0.026846 | 0.040268 | 0.040268 | 0.409396 | 0.308725 | 0.067114 | 0 | 0 | 0 | 0 | 0.076923 | 0.176856 | 458 | 24 | 78 | 19.083333 | 0.713528 | 0.163755 | 0 | 0.166667 | 0 | 0 | 0.047493 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0.166667 | 0 | 0.166667 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 3 |
7296ae6ac28253d667efa4996c12bfa3f2550bd1 | 234 | py | Python | saleor/core/templatetags/jsonld.py | tanjibpa/alrawaa | c28fbe7becd43b9de1575346fe8c29cee5f36de1 | [
"BSD-3-Clause"
] | 1 | 2020-10-24T14:25:53.000Z | 2020-10-24T14:25:53.000Z | saleor/core/templatetags/jsonld.py | tanjibpa/alrawaa | c28fbe7becd43b9de1575346fe8c29cee5f36de1 | [
"BSD-3-Clause"
] | 1 | 2022-02-10T08:53:52.000Z | 2022-02-10T08:53:52.000Z | saleor/core/templatetags/jsonld.py | BiaoLiu/saleor | d3de4d8ee69208d73539194b71449498f8e5e81f | [
"BSD-3-Clause"
] | 1 | 2020-09-29T14:21:31.000Z | 2020-09-29T14:21:31.000Z | import json
from django.template import Library
from saleor.product.utils import product_json_ld
register = Library()
@register.simple_tag
def product_availability_schema(product):
return json.dumps(product_json_ld(product))
| 18 | 48 | 0.816239 | 32 | 234 | 5.75 | 0.5625 | 0.119565 | 0.141304 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115385 | 234 | 12 | 49 | 19.5 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.428571 | 0.142857 | 0.714286 | 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 | 1 | 0 | 0 | 3 |
72985ab25da3d43a996a51d903b8e2b1d7ea163f | 233 | py | Python | hata/discord/permission/__init__.py | ToxicKidz/hata | f834c3cee3920d3095254815582325c5232022d7 | [
"0BSD"
] | null | null | null | hata/discord/permission/__init__.py | ToxicKidz/hata | f834c3cee3920d3095254815582325c5232022d7 | [
"0BSD"
] | null | null | null | hata/discord/permission/__init__.py | ToxicKidz/hata | f834c3cee3920d3095254815582325c5232022d7 | [
"0BSD"
] | null | null | null | from .permission import *
from .permission_overwrite import *
from .preinstanced import *
from .utils import *
__all__ = (
*permission.__all__,
*permission_overwrite.__all__,
*utils.__all__,
*preinstanced.__all__,
)
| 19.416667 | 35 | 0.725322 | 23 | 233 | 6.391304 | 0.304348 | 0.204082 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175966 | 233 | 11 | 36 | 21.181818 | 0.765625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
72a6db606e9525b89423c77424977159dbbc1bed | 27 | py | Python | my-cs/intern/java_details/java_sort_selection_details/__init__.py | zaqwes8811/cs-courses | aa9cf5ad109c9cfcacaadc11bf2defb2188ddce2 | [
"Apache-2.0"
] | null | null | null | my-cs/intern/java_details/java_sort_selection_details/__init__.py | zaqwes8811/cs-courses | aa9cf5ad109c9cfcacaadc11bf2defb2188ddce2 | [
"Apache-2.0"
] | 15 | 2015-03-07T12:46:41.000Z | 2015-04-11T09:08:36.000Z | buffer/scripts-emb-ext/projects/v8-wrap-gen/sources/v8_api_gen_r16258/matrix.py | zaqwes8811/micro-apps | 7f63fdf613eff5d441a3c2c7b52d2a3d02d9736a | [
"MIT"
] | null | null | null | __author__ = 'zaqwes_user'
| 13.5 | 26 | 0.777778 | 3 | 27 | 5.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 27 | 1 | 27 | 27 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0.407407 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
72b7d0692249f547523adc4465279dc8591254da | 91 | py | Python | tests/syntax/indentation_error_4.py | matan-h/friendly | 3ab0fc6541c837271e8865e247750007acdd18fb | [
"MIT"
] | 287 | 2019-04-08T13:18:29.000Z | 2021-03-14T19:10:21.000Z | tests/syntax/indentation_error_4.py | matan-h/friendly | 3ab0fc6541c837271e8865e247750007acdd18fb | [
"MIT"
] | 191 | 2019-04-08T14:39:18.000Z | 2021-03-14T22:14:56.000Z | tests/syntax/indentation_error_4.py | matan-h/friendly | 3ab0fc6541c837271e8865e247750007acdd18fb | [
"MIT"
] | 9 | 2019-04-08T12:54:08.000Z | 2020-11-20T02:26:27.000Z | '''Should raise IndentationError'''
def f():
s = "a"\
"b"
"c"
f()
| 10.111111 | 35 | 0.395604 | 10 | 91 | 3.6 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.395604 | 91 | 8 | 36 | 11.375 | 0.654545 | 0 | 0 | 0 | 0 | 0 | 0.053571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
72c9914ea06563be3c92bc4a2fe68a8de1966eb9 | 918 | py | Python | src/pymor/domaindescriptions/interfaces.py | mahgadalla/pymor | ee2806b4c93748e716294c42454d611415da7b5e | [
"Unlicense"
] | 1 | 2021-07-26T12:58:50.000Z | 2021-07-26T12:58:50.000Z | src/pymor/domaindescriptions/interfaces.py | mahgadalla/pymor | ee2806b4c93748e716294c42454d611415da7b5e | [
"Unlicense"
] | null | null | null | src/pymor/domaindescriptions/interfaces.py | mahgadalla/pymor | ee2806b4c93748e716294c42454d611415da7b5e | [
"Unlicense"
] | null | null | null | # This file is part of the pyMOR project (http://www.pymor.org).
# Copyright 2013-2017 pyMOR developers and contributors. All rights reserved.
# License: BSD 2-Clause License (http://opensource.org/licenses/BSD-2-Clause)
from pymor.core.interfaces import ImmutableInterface
KNOWN_BOUNDARY_TYPES = {'dirichlet', 'neumann', 'robin'}
class DomainDescriptionInterface(ImmutableInterface):
"""Describes a geometric domain along with its boundary.
Attributes
----------
dim
The dimension of the domain
boundary_types
Set of boundary types the domain has.
"""
dim = None
boundary_types = frozenset()
@property
def has_dirichlet(self):
return 'dirichlet' in self.boundary_types
@property
def has_neumann(self):
return 'neumann' in self.boundary_types
@property
def has_robin(self):
return 'robin' in self.boundary_types
| 25.5 | 77 | 0.694989 | 111 | 918 | 5.657658 | 0.522523 | 0.144904 | 0.066879 | 0.090764 | 0.105096 | 0.105096 | 0.105096 | 0 | 0 | 0 | 0 | 0.013831 | 0.212418 | 918 | 35 | 78 | 26.228571 | 0.854772 | 0.41939 | 0 | 0.214286 | 0 | 0 | 0.084677 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0 | 0.071429 | 0.214286 | 0.714286 | 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 | 1 | 0 | 0 | 3 |
72e4b7bdb58e3d1e590181c822fbbcc82deeea9c | 316 | py | Python | goodreads_api_client/resources/work.py | fossabot/goodreads-api-client-python | d58424aea92e808e8e9c6bbf6ecc42f084a6c642 | [
"MIT"
] | 63 | 2017-12-03T02:54:05.000Z | 2022-02-01T23:28:32.000Z | goodreads_api_client/resources/work.py | fossabot/goodreads-api-client-python | d58424aea92e808e8e9c6bbf6ecc42f084a6c642 | [
"MIT"
] | 13 | 2017-08-13T17:28:06.000Z | 2019-06-08T05:49:11.000Z | goodreads_api_client/resources/work.py | fossabot/goodreads-api-client-python | d58424aea92e808e8e9c6bbf6ecc42f084a6c642 | [
"MIT"
] | 15 | 2017-12-09T00:56:05.000Z | 2021-01-26T22:42:09.000Z | # -*- coding: utf-8 -*-
"""Module containing work resource class."""
from goodreads_api_client.exceptions import ExtraApiPermissionsRequired
from goodreads_api_client.resources.base import Resource
class Work(Resource):
def editions(self, id_: str):
raise ExtraApiPermissionsRequired('work.editions')
| 28.727273 | 71 | 0.768987 | 35 | 316 | 6.8 | 0.657143 | 0.10084 | 0.134454 | 0.184874 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003636 | 0.129747 | 316 | 10 | 72 | 31.6 | 0.861818 | 0.193038 | 0 | 0 | 0 | 0 | 0.052209 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.4 | 0 | 0.8 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
72e66cf30654d1c056e1425298471b16b1c74fc6 | 289 | py | Python | webware/Admin/Config.py | PeaceWorksTechnologySolutions/w4py3 | 7f9e7088034e3e3ac53158edfa4f377b5b2f45fe | [
"MIT"
] | 11 | 2020-10-18T07:33:56.000Z | 2021-09-27T21:03:38.000Z | webware/Admin/Config.py | PeaceWorksTechnologySolutions/w4py3 | 7f9e7088034e3e3ac53158edfa4f377b5b2f45fe | [
"MIT"
] | 9 | 2020-01-03T18:58:25.000Z | 2020-01-09T18:36:23.000Z | webware/Admin/Config.py | PeaceWorksTechnologySolutions/w4py3 | 7f9e7088034e3e3ac53158edfa4f377b5b2f45fe | [
"MIT"
] | 4 | 2020-06-30T09:41:56.000Z | 2021-02-20T13:48:08.000Z | from WebUtils.Funcs import htmlForDict
from .AdminSecurity import AdminSecurity
class Config(AdminSecurity):
def title(self):
return 'Config'
def writeContent(self):
self.writeln(htmlForDict(
self.application().config(), topHeading='Application'))
| 20.642857 | 67 | 0.695502 | 28 | 289 | 7.178571 | 0.571429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.207612 | 289 | 13 | 68 | 22.230769 | 0.877729 | 0 | 0 | 0 | 0 | 0 | 0.058824 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0.125 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 |
72ea799b4828c1059a8126bde8497273ddb590cb | 543 | py | Python | mordred/PBF.py | ademidun/mordred | c9de906f0d7829a9abe80658b19f4f9f9aef6648 | [
"BSD-3-Clause"
] | 199 | 2017-04-26T07:40:32.000Z | 2022-03-29T10:52:19.000Z | mordred/PBF.py | mkrompiec/mordred | 8337a088b96e35fda86235ebf37f9c72d35cf72f | [
"BSD-3-Clause"
] | 87 | 2016-01-15T09:02:20.000Z | 2022-03-21T23:18:08.000Z | mordred/PBF.py | mkrompiec/mordred | 8337a088b96e35fda86235ebf37f9c72d35cf72f | [
"BSD-3-Clause"
] | 64 | 2018-03-07T13:21:47.000Z | 2022-03-16T00:56:11.000Z | from rdkit.Chem.rdMolDescriptors import CalcPBF
from ._base import Descriptor
__all__ = ("PBF",)
class PBF(Descriptor):
r"""PBF descriptor."""
__slots__ = ()
since = "1.1.2"
require_3D = True
@classmethod
def preset(cls, version):
yield cls()
def description(self):
return self.__class__.__name__
def __str__(self):
return self.__class__.__name__
def parameters(self):
return ()
def calculate(self):
return CalcPBF(self.get_3D_mol())
rtype = float
| 16.96875 | 47 | 0.626151 | 62 | 543 | 4.967742 | 0.580645 | 0.12987 | 0.090909 | 0.123377 | 0.168831 | 0.168831 | 0 | 0 | 0 | 0 | 0 | 0.012531 | 0.265193 | 543 | 31 | 48 | 17.516129 | 0.759399 | 0.027624 | 0 | 0.1 | 0 | 0 | 0.015326 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.1 | 0.2 | 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 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
f4095c85236707d4f992d4c1a92eacde8a466d84 | 436 | py | Python | carla_utils/agents/__init__.py | zhangdongkun98/carla-utils | a370db53589841c8cffe95c8df43dfc036176431 | [
"MIT"
] | 6 | 2020-11-25T14:05:05.000Z | 2022-03-14T05:34:11.000Z | carla_utils/agents/__init__.py | zhangdongkun98/carla-utils | a370db53589841c8cffe95c8df43dfc036176431 | [
"MIT"
] | null | null | null | carla_utils/agents/__init__.py | zhangdongkun98/carla-utils | a370db53589841c8cffe95c8df43dfc036176431 | [
"MIT"
] | null | null | null |
from .agents_route_planner import AgentsRoutePlanner
from .agents_master import AgentListMaster
from .controller import Controller
from .vehicle_model import RealModel, BicycleModel2D, BicycleModel2DParallel
from .agent_abc import AgentABC
from .agent_base import BaseAgent
from .agent_keyboard import KeyboardAgent
from .agent_naive import NaiveAgent
from .agent_idm import IdmAgent
from .agent_obstacle import BaseAgentObstacle
| 25.647059 | 76 | 0.862385 | 52 | 436 | 7.038462 | 0.519231 | 0.147541 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005155 | 0.110092 | 436 | 16 | 77 | 27.25 | 0.938144 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
f416c6371b8df65a59e08860eb0e9d0ea8693282 | 146 | py | Python | block_processor/__init__.py | dharif23/block_processor | 19a7f221925c05cf4623e9f8419aea9f286c757e | [
"MIT"
] | 1 | 2021-03-17T13:53:46.000Z | 2021-03-17T13:53:46.000Z | block_processor/__init__.py | dalwar23/block_processor | 19a7f221925c05cf4623e9f8419aea9f286c757e | [
"MIT"
] | null | null | null | block_processor/__init__.py | dalwar23/block_processor | 19a7f221925c05cf4623e9f8419aea9f286c757e | [
"MIT"
] | 1 | 2018-12-05T01:52:33.000Z | 2018-12-05T01:52:33.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Source code meta data
__author__ = 'Dalwar Hossain'
__email__ = 'dalwar.hossain@protonmail.com'
| 18.25 | 43 | 0.691781 | 19 | 146 | 4.894737 | 0.894737 | 0.27957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008 | 0.143836 | 146 | 7 | 44 | 20.857143 | 0.736 | 0.438356 | 0 | 0 | 0 | 0 | 0.551282 | 0.371795 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
f426face3491e3bade18f1252ae5f6b516921c7f | 588 | py | Python | tests/unit/test_nomic_bot_stack.py | CrimsonRadiator/nomic-bot | 06e6d042bc94ff185d046651bf3e98f6c3725e87 | [
"MIT"
] | null | null | null | tests/unit/test_nomic_bot_stack.py | CrimsonRadiator/nomic-bot | 06e6d042bc94ff185d046651bf3e98f6c3725e87 | [
"MIT"
] | null | null | null | tests/unit/test_nomic_bot_stack.py | CrimsonRadiator/nomic-bot | 06e6d042bc94ff185d046651bf3e98f6c3725e87 | [
"MIT"
] | 1 | 2022-03-07T20:21:45.000Z | 2022-03-07T20:21:45.000Z | import aws_cdk as core
import aws_cdk.assertions as assertions
from nomic_bot.nomic_bot_stack import NomicBotStack
# def test_sqs_queue_created():
# app = core.App()
# stack = NomicBotStack(app, "nomic-bot")
# template = assertions.Template.from_stack(stack)
# template.has_resource_properties("AWS::SQS::Queue", {
# "VisibilityTimeout": 300
# })
# def test_sns_topic_created():
# app = core.App()
# stack = NomicBotStack(app, "nomic-bot")
# template = assertions.Template.from_stack(stack)
# template.resource_count_is("AWS::SNS::Topic", 1)
| 26.727273 | 59 | 0.697279 | 74 | 588 | 5.310811 | 0.378378 | 0.081425 | 0.061069 | 0.086514 | 0.478372 | 0.478372 | 0.478372 | 0.478372 | 0.478372 | 0.478372 | 0 | 0.008214 | 0.171769 | 588 | 21 | 60 | 28 | 0.798768 | 0.751701 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
f4429a0652da14632e666fc01fef08a9c7d42d53 | 1,121 | py | Python | tests/test_unit.py | yemel/coinage | ace015c565a5d95848f874d2f8c6586309e5950c | [
"MIT"
] | 6 | 2015-04-15T19:23:30.000Z | 2015-11-08T17:26:01.000Z | tests/test_unit.py | yemel/coinage | ace015c565a5d95848f874d2f8c6586309e5950c | [
"MIT"
] | 27 | 2016-03-08T18:34:27.000Z | 2016-03-16T21:51:50.000Z | tests/test_unit.py | yemel/bitforge | ace015c565a5d95848f874d2f8c6586309e5950c | [
"MIT"
] | 2 | 2016-02-15T02:17:34.000Z | 2017-10-24T12:17:30.000Z | from bitforge.unit import Unit
class TestUnit:
def test_btc_accessors(self):
u = Unit(btc = 1.2)
assert u.btc == 1.2
assert u.mbtc == 1200
assert u.bits == 1200000
assert u.satoshis == 120000000
def test_btc_conversion(self):
u = Unit(btc = 1.3)
assert u.mbtc == 1300
assert u.bits == 1300000
assert u.satoshis == 130000000
u = Unit(mbtc = 1.3)
assert u.btc == 0.0013
assert u.bits == 1300
assert u.satoshis == 130000
u = Unit(bits = 1.3)
assert u.btc == 0.0000013
assert u.mbtc == 0.0013
assert u.satoshis == 130
u = Unit(satoshis = 3)
assert u.btc == 0.00000003
assert u.mbtc == 0.00003
assert u.bits == 0.03
# TODO: Review presition
# def test_unit_rates(self):
# u = Unit.from_fiat(1.3, 350)
# assert u.at_rate(350) == 1.3
# u = Unit(btc = 0.0123)
# assert u.at_rate(10) == 0.12
def test_repr(self):
u = Unit(btc = 1.3)
assert repr(u) == '<Unit: 130000000 satoshis>'
| 24.911111 | 54 | 0.529884 | 161 | 1,121 | 3.627329 | 0.285714 | 0.215753 | 0.061644 | 0.061644 | 0.190068 | 0.113014 | 0.068493 | 0 | 0 | 0 | 0 | 0.179207 | 0.347904 | 1,121 | 44 | 55 | 25.477273 | 0.619699 | 0.156111 | 0 | 0.071429 | 0 | 0 | 0.027689 | 0 | 0 | 0 | 0 | 0.022727 | 0.607143 | 1 | 0.107143 | false | 0 | 0.035714 | 0 | 0.178571 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
f44c89515cb6950641fb07bb42a67147edc8a2b2 | 3,363 | py | Python | bitglitter/tests/palettes/test_paletteutilites.py | MarkMichon1/BitGlitter-Python | 0dcd5ec420d42f911189a5968a20ef4bc8381e60 | [
"MIT"
] | 11 | 2021-07-30T14:35:57.000Z | 2021-12-30T10:27:18.000Z | bg_backend/bitglitter/tests/palettes/test_paletteutilites.py | MarkMichon1/BitGlitter-Backend | af399d82b19a7828b15ea1789bc980987f1049fe | [
"MIT"
] | null | null | null | bg_backend/bitglitter/tests/palettes/test_paletteutilites.py | MarkMichon1/BitGlitter-Backend | af399d82b19a7828b15ea1789bc980987f1049fe | [
"MIT"
] | 1 | 2021-10-21T00:22:51.000Z | 2021-10-21T00:22:51.000Z | from bitglitter.utilities.palette import get_color_distance
def test_color_distance_with_default_1bit_palette():
t_palette = ((0,0,0), (255,255,255))
t_expect = 441.67
t_result = get_color_distance(t_palette)
assert len(t_palette) == 2 # number of colors
assert t_expect == t_result
def test_color_distance_with_alternate_1bit_palette():
t_palette = ((255, 0, 255), (0, 255, 255))
t_expect = 360.62
t_result = get_color_distance(t_palette)
assert len(t_palette) == 2 # number of colors
assert t_expect == t_result
def test_color_distance_with_default_2bit_palette():
t_palette = ((0,0,0), (255,0,0), (0,255,0), (0,0,255))
t_expect = 255
t_result = get_color_distance(t_palette)
assert len(t_palette) == 4 # number of colors
assert t_expect == t_result
def test_color_distance_with_alternate_2bit_palette():
t_palette = ((0, 0, 0), (255, 255, 0), (0, 255, 255), (255, 0, 255))
t_expect = 360.62
t_result = get_color_distance(t_palette)
assert len(t_palette) == 4 # number of colors
assert t_expect == t_result
def test_color_distance_with_default_3bit_palette():
t_palette = ((0,0,0), (255,0,0), (0,255,0), (0,0,255), (255,255,0), (0,255,255),
(255,0,255), (255,255,255))
t_expect = 255
t_result = get_color_distance(t_palette)
assert len(t_palette) == 8 # number of colors
assert t_expect == t_result
def test_color_distance_with_default_4bit_palette():
t_palette = ((0,0,0), (128,128,128), (192,192,192), (128,0,0), (255,0,0), (128,128,0),
(255,255,0), (0,255,0), (0,128,128), (0,128,0), (0,0,128), (0,0,255),
(0,255,255), (128,0,128), (255,0,255), (255,255,255))
t_expect = 109.12
t_result = get_color_distance(t_palette)
assert len(t_palette) == 16 # number of colors
assert t_expect == t_result
def test_color_distance_with_default_6bit_palette():
t_palette = ((0,0,0), (0,0,85), (0,0,170), (0,0,255), (0,85,0), (0,85,85),
(0,85,170), (0,85,255), (0,170,0), (0,170,85),(0,170,170),
(0,170,255), (0,255,0), (0,255,85), (0,255,170), (0,255,255),
(85,0,0),(85,0,85), (85,0,170), (85,0,255), (85,85,0), (85,85,85),
(85,85,170), (85,85,255),(85,170,0), (85,170,85), (85,170,170),
(85,170,255), (85,255,0), (85,255,85), (85,255,170), (85,255,255),
(170,0,0), (170,0,85), (170,0,170), (170,0,255), (170,85,0),
(170,85,85),(170,85,170), (170,85,255), (170,170,0), (170,170,85),
(170,170,170), (170,170,255),(170,255,0), (170,255,85), (170,255,170),
(170,255,255), (255,0,0), (255,0,85), (255,0,170), (255,0,255),
(255,85,0), (255,85,85), (255,85,170), (255,85,255), (255,170,0),
(255,170,85), (255,170,170), (255,170,255), (255,255,0), (255,255,85),
(255,255,170), (255,255,255))
t_expect = 85
t_result = get_color_distance(t_palette)
assert len(t_palette) == 64 # number of colors
assert t_expect == t_result
def test_color_distance_with_duplicate_values():
t_palette = ((0,0,0), (255,0,0), (0,255,0), (0,0,0))
t_expect = 0
t_result = get_color_distance(t_palette)
assert len(t_palette) == 4 # number of colors
assert t_expect == t_result
| 43.115385 | 91 | 0.592031 | 587 | 3,363 | 3.18569 | 0.076661 | 0.049198 | 0.048128 | 0.035294 | 0.820856 | 0.679144 | 0.621925 | 0.621925 | 0.564706 | 0.54385 | 0 | 0.269187 | 0.2135 | 3,363 | 77 | 92 | 43.675325 | 0.437807 | 0.040143 | 0 | 0.390625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.125 | false | 0 | 0.015625 | 0 | 0.140625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 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 | 3 |
f464956eeacc1de864359656f20094b633a6e887 | 200 | py | Python | mai_version/representation/modes.py | joschout/tilde | 1403b50842b83f2edd6b16b1fbe24b9bec2d0048 | [
"Apache-2.0"
] | 16 | 2019-03-06T06:11:33.000Z | 2022-02-07T21:30:25.000Z | mai_version/representation/modes.py | joschout/tilde | 1403b50842b83f2edd6b16b1fbe24b9bec2d0048 | [
"Apache-2.0"
] | 4 | 2019-10-08T14:48:23.000Z | 2020-03-26T00:31:57.000Z | mai_version/representation/modes.py | krishnangovindraj/tilde | 5243a02d92f375d56ffc49ab8c3d1a87e31e99b9 | [
"Apache-2.0"
] | 4 | 2019-08-14T05:40:47.000Z | 2020-08-05T13:21:16.000Z | from enum import Enum
class ModeIndicator(Enum):
INPUT = '+' # use existing variable
OUTPUT = '-' # create new variable (do not reuse existing)
CONSTANT = 'c' # insert constant
| 22.222222 | 65 | 0.64 | 23 | 200 | 5.565217 | 0.782609 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.265 | 200 | 8 | 66 | 25 | 0.870748 | 0.405 | 0 | 0 | 0 | 0 | 0.026316 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
be2fdfa9746df12e349d9a67bd95e78819e80801 | 712 | py | Python | mpf/tests/test_Platform.py | cloudjor/mpf | 1cf6bf18b0d81120383b0b128b0ebbfa1c62717c | [
"MIT"
] | null | null | null | mpf/tests/test_Platform.py | cloudjor/mpf | 1cf6bf18b0d81120383b0b128b0ebbfa1c62717c | [
"MIT"
] | null | null | null | mpf/tests/test_Platform.py | cloudjor/mpf | 1cf6bf18b0d81120383b0b128b0ebbfa1c62717c | [
"MIT"
] | null | null | null | from mpf.tests.MpfTestCase import MpfTestCase
class TestPlatform(MpfTestCase):
def getConfigFile(self):
return 'test_platform.yaml'
def getMachinePath(self):
return 'tests/machine_files/platform/'
def get_platform(self):
return False
def test_platform_from_device(self):
# tests that a platform can be added by a device, even if it's not
# specified in the hardware section
self.assertEqual(self.machine.switches.switch1.platform,
self.machine.hardware_platforms['smart_virtual'])
self.assertEqual(self.machine.switches.switch2.platform,
self.machine.hardware_platforms['virtual'])
| 29.666667 | 74 | 0.674157 | 81 | 712 | 5.814815 | 0.530864 | 0.093418 | 0.080679 | 0.110403 | 0.29724 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003724 | 0.245787 | 712 | 23 | 75 | 30.956522 | 0.873371 | 0.13764 | 0 | 0 | 0 | 0 | 0.109656 | 0.047463 | 0 | 0 | 0 | 0 | 0.153846 | 1 | 0.307692 | false | 0 | 0.076923 | 0.230769 | 0.692308 | 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 | 1 | 0 | 0 | 3 |
be53926c41c587eb652725b8be4928678fe9b32f | 1,546 | py | Python | src/maintenance/azext_maintenance/generated/_client_factory.py | wwendyc/azure-cli-extensions | 6b4099676bb5d43fdb57bc69f9c0281cca510a0a | [
"MIT"
] | 1 | 2021-08-03T18:32:54.000Z | 2021-08-03T18:32:54.000Z | src/maintenance/azext_maintenance/generated/_client_factory.py | wwendyc/azure-cli-extensions | 6b4099676bb5d43fdb57bc69f9c0281cca510a0a | [
"MIT"
] | 4 | 2020-09-07T12:56:24.000Z | 2021-02-04T12:19:20.000Z | src/maintenance/azext_maintenance/generated/_client_factory.py | wwendyc/azure-cli-extensions | 6b4099676bb5d43fdb57bc69f9c0281cca510a0a | [
"MIT"
] | 5 | 2020-09-08T22:46:48.000Z | 2020-11-08T14:54:35.000Z | # --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
def cf_maintenance_cl(cli_ctx, *_):
from azure.cli.core.commands.client_factory import get_mgmt_service_client
from azext_maintenance.vendored_sdks.maintenance import MaintenanceClient
return get_mgmt_service_client(cli_ctx,
MaintenanceClient)
def cf_public_maintenance_configuration(cli_ctx, *_):
return cf_maintenance_cl(cli_ctx).public_maintenance_configurations
def cf_apply_update(cli_ctx, *_):
return cf_maintenance_cl(cli_ctx).apply_updates
def cf_configuration_assignment(cli_ctx, *_):
return cf_maintenance_cl(cli_ctx).configuration_assignments
def cf_maintenance_configuration(cli_ctx, *_):
return cf_maintenance_cl(cli_ctx).maintenance_configurations
def cf_maintenance_configuration_for_resource_group(cli_ctx, *_):
return cf_maintenance_cl(cli_ctx).maintenance_configurations_for_resource_group
def cf_apply_update_for_resource_group(cli_ctx, *_):
return cf_maintenance_cl(cli_ctx).apply_update_for_resource_group
def cf_update(cli_ctx, *_):
return cf_maintenance_cl(cli_ctx).updates
| 34.355556 | 83 | 0.720569 | 188 | 1,546 | 5.489362 | 0.361702 | 0.093023 | 0.116279 | 0.139535 | 0.448643 | 0.371124 | 0.371124 | 0.371124 | 0.339147 | 0.253876 | 0 | 0 | 0.125485 | 1,546 | 44 | 84 | 35.136364 | 0.763314 | 0.283959 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.421053 | false | 0 | 0.105263 | 0.368421 | 0.947368 | 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 | 1 | 0 | 0 | 3 |
bead4a8a7f18e18967fa87d6543e24356977300f | 170,496 | py | Python | examples/eidelyur/threeApproachesComparison_v5.py | radiasoft/rsdynfric | 0d905e1ef85063ec6fe93df64751f7b8c19da160 | [
"Apache-2.0"
] | null | null | null | examples/eidelyur/threeApproachesComparison_v5.py | radiasoft/rsdynfric | 0d905e1ef85063ec6fe93df64751f7b8c19da160 | [
"Apache-2.0"
] | 1 | 2022-03-23T22:53:10.000Z | 2022-03-28T19:02:40.000Z | examples/eidelyur/threeApproachesComparison_v5.py | radiasoft/rsdynfric | 0d905e1ef85063ec6fe93df64751f7b8c19da160 | [
"Apache-2.0"
] | 3 | 2017-01-06T04:24:29.000Z | 2020-02-16T01:17:20.000Z | # from __future__ import division
#-------------------------------------
#
# Started at 09/12/2017 (YuE)
#
#-------------------------------------
import os, sys
import numpy as np
import math
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from matplotlib.colors import LogNorm
from matplotlib import ticker
from matplotlib import markers
import matplotlib as mpl
from matplotlib import cm
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from matplotlib.legend_handler import HandlerLine2D
import scipy.integrate as integrate
from scipy.integrate import quad, nquad, dblquad
from scipy.constants import pi
#
# All physical constants have its dimension in units in the system CI.
# This code uses units in the system CGS!
#
from scipy.constants import speed_of_light as clight
from scipy.constants import epsilon_0 as eps0
from scipy.constants import mu_0 as mu0
from scipy.constants import elementary_charge as qe
from scipy.constants import electron_mass as me
from scipy.constants import proton_mass as mp
from scipy.constants import Boltzmann as kB
eVtoErg=1.602e-12 # energy from eV to erg (from CI to CGS)
# Indices:
(Ix, Ipx, Iy, Ipy, Iz, Ipz) = range(6)
#
# Initial parameters:
#
Z_ion = qe*2.997e+9 # charge of ion (proton), CGSE units of the charge
M_ion = mp*1.e+3 # mass of ion (proton), g
q_elec = qe*2.997e+9 # charge of electron, CGSE units of the charge (without sign!)
m_elec = me*1.e+3 # mass of electron, g
B_mag=1.e+3 # Gs
eTempTran = 0.5 # transversal temperature of electrons, eV
eTempLong = 2.e-4 # longitudinal temperature of electrons, eV
stepsNumberOnGyro = 25 # number of the steps on each Larmour period
#
# Larmor frequency electron:
#
def omega_Larmor(mass,B_mag):
return (q_elec)*B_mag/(mass*clight*1.e+2) # rad/sec
#
# Derived quantities:
#
omega_L = omega_Larmor(m_elec, B_mag) # rad/sec
T_larm = 2*pi/omega_L # sec
timeStep = T_larm/stepsNumberOnGyro # time step, sec
print 'omega_Larmor= %e rad/sec, T_larm = %e sec, timeStep = %e sec' % (omega_L,T_larm,timeStep)
eVrmsTran = np.sqrt(2.*eTempTran*eVtoErg/m_elec) # cm/sec
eVrmsLong = np.sqrt(2.*eTempLong*eVtoErg/m_elec) # cm/sec
print 'eVrmsTran = %e cm/sec, eVrmsLong = %e cm/sec' % (eVrmsTran,eVrmsLong)
ro_larmRMS = eVrmsTran/omega_L # cm
print 'ro_larmRMS =%e mkm = ', 1.e4*ro_larmRMS
#
# Electrons are magnetized for impact parameter >> rhoCrit:
#
rhoCrit=math.pow(q_elec**2/(m_elec*omega_L**2),1./3) # cm
print 'rhoCrit (mkm) = ' , 1.e+4*rhoCrit
#
# Convertion from electron's "coordinates" to guiding-center coordinates:
# For electron z_e=(x_e,px_e,y_e,py_e,z_e,pz_e) --> zgc_e=(phi,p_phi,y_gc,py_gc,z_e,pz_e);
# z_e and zgc_e are 6-vectors
#
def toGuidingCenter(z_e):
mOmega=m_elec*omega_L # g/sec
zgc_e=z_e.copy() # 6-vector
zgc_e[Ix] = np.arctan2(z_e[Ipx]+mOmega*z_e[Iy],z_e[Ipy]) # radians
zgc_e[Ipx]= (((z_e[Ipx]+mOmega*z_e[Iy])**2+z_e[Ipy]**2)/(2.*mOmega)) # g*cm**2/sec
zgc_e[Iy] =-z_e[Ipx]/mOmega # cm
zgc_e[Ipy]= z_e[Ipy]+mOmega*z_e[Ix] # g/sec
return zgc_e
#
# Convertion from guiding-center coordinates to electron's "coordinates":
# For each electron zgc_e=(phi,p_phi,y_gc,py_gc,z_e,pz_e) --> z_e=(x_e,px_e,y_e,py_e,z_e,pz_e);
# zgc_c and z_e are 6-vectors
#
def fromGuidingCenter(zgc_e):
mOmega=m_elec*omega_L # g/sec
rho_larm=np.sqrt(2.*zgc_e[Ipx]/mOmega) # cm
z_e = zgc_e.copy() # 6-vector
z_e[Ix] = zgc_e[Ipy]/mOmega-rho_larm*np.cos(zgc_e[Ix]) # cm
z_e[Ipx]=-mOmega*zgc_e[Iy] # g*cm/sec
z_e[Iy] = zgc_e[Iy]+rho_larm*np.sin(zgc_e[Ix]) # cm
z_e[Ipy]= mOmega*rho_larm*np.cos(zgc_e[Ix]) # g*cm/sec
return z_e
#
# Matrix to dragg electron through the solenoid with field 'B_mag' during time interval 'deltaT':
#
def solenoid_eMatrix(B_mag,deltaT):
slndMtrx=np.identity(6)
omega_L=omega_Larmor(m_elec,B_mag) # rad/sec
mOmega= m_elec*omega_L # g/sec
phi=omega_L*deltaT # phase, rad
cosPhi=math.cos(phi) # dimensionless
sinPhi=math.sin(phi) # dimensionless
cosPhi_1=2.*math.sin(phi/2.)**2 # dimensionless
slndMtrx[Iy, Iy ]= cosPhi # dimensionless
slndMtrx[Ipy,Ipy]= cosPhi # dimensionless
slndMtrx[Iy, Ipy]= sinPhi/mOmega # sec/g
slndMtrx[Ipy,Iy ]=-mOmega*sinPhi # g/sec
slndMtrx[Iz, Ipz]= deltaT/m_elec # sec/g
slndMtrx[Ix, Ipx]= sinPhi/mOmega # sec/g
slndMtrx[Ix, Iy ]= sinPhi # dimensionless
slndMtrx[Ix, Ipy]= cosPhi_1/mOmega # sec/g
slndMtrx[Iy, Ipx]=-cosPhi_1/mOmega # sec/g
slndMtrx[Ipy,Ipx]=-sinPhi # dimensionless
return slndMtrx
#
# Matrix to dragg particle through the drift during time interval 'deltaT':
#
def drift_Matrix(M_prtcl,deltaT):
driftMtrx = np.identity(6)
for i in (Ix,Iy,Iz):
driftMtrx[i,i+1]=deltaT/M_prtcl # sec/g
return driftMtrx
#
# Matrix to dragg electron in the "guiding center" system during time interval 'deltaT':
#
def guidingCenter_Matrix(deltaT):
gcMtrx = np.identity(6)
gcMtrx[Iz,Ipz]=deltaT/m_elec # sec/g
return gcMtrx
#
# Description of the collision during time interval 'deltaT'
# in the system coordinates of "guiding center" of electron
# input - 6-vectors for electron and ion before collision and time step deltaT;
# output - transfered momenta to ion and electron:
#
def guidingCenterCollision(vectrElec_gc,vectrIon,deltaT):
# print 'Ion: x=%e, y=%e, z=%e' % (vectrIon[0],vectrIon[2],vectrIon[4])
# print 'Electron: x=%e, y=%e, z=%e' % (vectrElec_gc[0],vectrElec_gc[4],vectrElec_gc[4])
dpIon=np.zeros(3)
dpElec=np.zeros(3)
mOmegaLarm=m_elec*omega_L # g/sec
dpFactor_gc=q_elec**2 # g*cm^3/sec^2
rhoLarm_gc=np.sqrt(2.*vectrElec_gc[1]/mOmegaLarm) # cm
sinOmega_gc=math.sin(vectrElec_gc[0])
cosOmega_gc=math.cos(vectrElec_gc[0])
x_gc=vectrElec_gc[3]/mOmegaLarm # cm
numer=(vectrIon[0]-x_gc)*cosOmega_gc- \
(vectrIon[2]-vectrElec_gc[2])*sinOmega_gc # cm
denom=((vectrIon[0]-x_gc)**2+(vectrIon[2]-vectrElec_gc[2])**2+ \
(vectrIon[4]-vectrElec_gc[4])**2+rhoLarm_gc**2)**(3/2) # cm^3
action=vectrElec_gc[1]+dpFactor_gc*numer*rhoLarm_gc/(omega_L*denom) # g*cm^2/sec
b_gc=np.sqrt((vectrIon[0]-x_gc)**2+ \
(vectrIon[2]-vectrElec_gc[2])**2+ \
(vectrIon[4]-vectrElec_gc[4])**2+2.*action/mOmegaLarm) # cm
dpIon[0]=-dpFactor_gc*deltaT*(vectrIon[0]-x_gc)/b_gc**3 # g*cm/sec
dpIon[1]=-dpFactor_gc*deltaT*(vectrIon[2]-vectrElec_gc[2])/b_gc**3 # g*cm/sec
dpIon[2]=-dpFactor_gc*deltaT*(vectrIon[4]-vectrElec_gc[4])/b_gc**3 # g*cm/sec
dpElec[1]=-dpIon[1] # g*cm/sec
dpElec[2]=-dpIon[2] # g*cm/sec
# print 'dpIon[0]=%e, dpIon[1]=%e, dpIon[2]=%e' % (dpIon[0],dpIon[1],dpIon[2])
return dpIon,dpElec,action
#
# "Magnus expansion" description of the collision during time interval 'deltaT'
# in the system coordinates of "guiding center" of electron
# input - 6-vectors for electron and ion before collision and time step deltaT;
# output - transfered momenta to ion and electron and electron y_gc coordinate:
#
def MagnusExpansionCollision(vectrElec_gc,vectrIon,deltaT):
# print 'Ion: x=%e, y=%e, z=%e' % (vectrIon[0],vectrIon[2],vectrIon[4])
# print 'Electron: x=%e, y=%e, z=%e' % (vectrElec_gc[0],vectrElec_gc[4],vectrElec_gc[4])
dpIon=np.zeros(3)
dpElec=np.zeros(3)
mOmegaLarm=m_elec*omega_L # g/sec
dpFactor_gc=q_elec**2 # g*cm^3/sec^2
rhoLarm_gc=np.sqrt(2.*vectrElec_gc[1]/mOmegaLarm) # cm
sinOmega_gc=math.sin(vectrElec_gc[0])
cosOmega_gc=math.cos(vectrElec_gc[0])
x_gc=vectrElec_gc[3]/mOmegaLarm # cm
numer=(vectrIon[0]-x_gc)*cosOmega_gc- \
(vectrIon[2]-vectrElec_gc[2])*sinOmega_gc # cm
denom=((vectrIon[0]-x_gc)**2+(vectrIon[2]-vectrElec_gc[2])**2+ \
(vectrIon[4]-vectrElec_gc[4])**2+rhoLarm_gc**2)**(3/2) # cm^3
action=vectrElec_gc[1]+dpFactor_gc*numer*rhoLarm_gc/(omega_L*denom) # g*cm^2/sec
C1=np.sqrt((vectrIon[0]-x_gc)**2+ \
(vectrIon[2]-vectrElec_gc[2])**2+ \
(vectrIon[4]-vectrElec_gc[4])**2+2.*action/mOmegaLarm) # cm^2
C2=2.*((vectrIon[0]-x_gc)*vectrIon[1]/M_ion+(vectrIon[2]-vectrElec_gc[2])*vectrIon[3]/M_ion+ \
(vectrIon[4]-vectrElec_gc[4])*(vectrIon[5]/M_ion-vectrElec_gc[5]/m_elec)) # cm^2/sec
C3=(vectrIon[1]/M_ion)**2+(vectrIon[3]/M_ion)**2+ \
(vectrIon[5]/M_ion-vectrElec_gc[5]/m_elec)**2 # cm^2/sec^2
b=np.sqrt(C1+C2*deltaT+C3*deltaT**2) # cm
D1=(2.*C3*deltaT+C2)/b-C2/np.sqrt(C1) # cm/sec
D2=(C2*deltaT+2.*C1)/b-np.sqrt(C1) # cm
q=4.*C1*C3-C2**2 # cm^4/sec^2
dpIon[0]=-2.*dpFactor_gc/q*((vectrIon[0]-x_gc)*D1-vectrIon[1]/M_ion*D2) # g*cm/sec
dpIon[1]=-2.*dpFactor_gc/q*((vectrIon[2]-vectrElec_gc[2])*D1-vectrIon[3]/M_ion*D2) # g*cm/sec
dpIon[2]=-2.*dpFactor_gc/q*((vectrIon[4]-vectrElec_gc[4])*D1- \
(vectrIon[5]/M_ion-vectrElec_gc[5]/m_elec)*D2) # g*cm/sec
dpElec[1]=-dpIon[1] # g*cm/sec
dpElec[2]=-dpIon[2] # g*cm/sec
dy_gc=dpIon[0]/mOmegaLarm # cm
# print 'dpIon[0]=%e, dpIon[1]=%e, dpIon[2]=%e' % (dpIon[0],dpIon[1],dpIon[2])
return dpIon,dpElec,action,dy_gc
z_elecCrrnt=np.zeros(6) # 6-vector for electron (for Approach_1)
z_ionCrrnt=np.zeros(6) # 6-vector for ion (for Approach_1)
z_elecCrrnt_2=np.zeros(6) # 6-vector for electron (for Approach_2)
z_ionCrrnt_2=np.zeros(6) # 6-vector for ion (for Approach_2)
z_elecCrrnt_gc=np.zeros(6) # 6-vector for electron in #guiding center" system (for Approaches_2,3)
z_elecCrrnt_3=np.zeros(6) # 6-vector for electron (for Approach_3)
z_ionCrrnt_3=np.zeros(6) # 6-vector for ion (for Approach_3)
#===============================================================================
#
# Case: the same longidudinal (eVrmsLong).
# The selection of main parameters is sescribed in the
# document "notesToChoiceCodeParameters.docx"
#
rhoMin=1.e-4 # R_crit=1 mkm; cm
rShield=100.e-4 # max value of the R_shield=50 mkm; cm
rhoMax=rShield # cm
bMin=rhoMin # cm
bMax=2*rhoMax # cm (In case with L_int=R_shield sqrt(2) instead 2 is needed)
nTotal=500
bEdges=np.zeros(nTotal+1)
bStep=(bMax-bMin)/nTotal # cm
print 'bMin(mkm)=%e, bMax(mkm)=%e, bStep(mkm)=%e' % (1.e+4*bMin,1.e+4*bMax,1.e+4*bStep)
for i in range(nTotal+1):
bEdges[i]=bMin+bStep*i # cm
print 'bEdges[0]=%e, bEdges[nTotal]=%e (all sizes in mkm)' % (1.e+4*bEdges[0],1.e+4*bEdges[nTotal])
#
# All data will be placed in nTotal bins (sorted by the range of impact parameters):
#
bTot=np.zeros(nTotal) # cm
larmR_bTot=np.zeros(nTotal) # ratio R_larmor/b; dimensionless
uPot_enrgKinTot=np.zeros(nTotal) # ratio eVca/Ekin; dimensionless
population=np.zeros(nTotal) # number of data in each bin
#
# Transfered momenta for different approaches:
# deltaP=q_e^2*timeStep*abs(dpApprch_NTot|).
# First index numerates the x,y and z-component od deltaP:
#
dpApprch_1Tot=np.zeros((3,nTotal)) # 1/cm^2
dpApprch_2Tot=np.zeros((3,nTotal)) # 1/cm^2
dpApprch_3Tot=np.zeros((3,nTotal)) # 1/cm^2
sumPoints=0
sumPoints_2=0
sumPoints_3=0
#
# Electrons are magnetized for impact parameter >> rhoCrit:
#
rhoCrit=math.pow(q_elec**2/(m_elec*omega_L**2),1./3) # cm
alpha=2*q_elec**2*omega_L/(m_elec*eVrmsLong**3) # dimensionless
print 'rhoCrit(mkm)=%f, alpha=%f' % (1.e+4*rhoCrit, alpha)
#
# Array A=log10(Upot/Ekin):
#
nA=5
crrntA=np.zeros(nA)
minA=-5.
maxA=0.
stepA=(maxA-minA)/(nA-1)
#
# Array B=log10(R_larm/b):
#
nB=5
crrntB=np.zeros(nB)
minB=-3.
maxB=-.5
stepB=(maxB-minB)/(nB-1)
#
# Working arrays:
#
larmorNumber=np.zeros(nA*nB)
larmorRadius=np.zeros(nA*nB)
pointTrack=np.zeros(nA*nB)
timePoints=np.zeros(nA*nB)
cpuTime=np.zeros(nA*nB)
pointTrack_2=np.zeros(nA*nB)
timePoints_2=np.zeros(nA*nB)
cpuTime_2=np.zeros(nA*nB)
pointTrack_3=np.zeros(nA*nB)
timePoints_3=np.zeros(nA*nB)
cpuTime_3=np.zeros(nA*nB)
evTran=np.zeros((nA,nB)) # cm/sec
rho_larm=np.zeros((nA,nB)) # cm
kinEnergy=np.zeros((nA,nB)) # erg
rhoCrrnt=np.zeros((nA,nB)) # cm
halfLintr=np.zeros((nA,nB)) # cm
timePath=np.zeros((nA,nB)) # sec
numbLarmor=np.zeros((nA,nB)) # dimensionless
#
# For approach_1 (without averaging over larmor rotation):
#
matr_elec=solenoid_eMatrix(B_mag,timeStep) # matrix for electron for timeStep in magnetic field
matr_ion=drift_Matrix(M_ion,timeStep) # matrix for ion (with mass M_ion) for timeStep
trackNumb=-1 # Tracks will be enumerated from 0!
dpFactor=q_elec**2*timeStep # g*cm^3/sec
minLarmR_b_1=1.e8 # dimensionless
maxLarmR_b_1=-1.e8 # dimensionless
minUpot_enrgKin_1=1.e8 # dimensionless
maxUpot_enrgKin_1=-1.e8 # dimensionless
#
# For approach_2 (with averaging over nLarmorAvrgng larmor rotation) +
# "Magnus ex[ansion" method to calculate the transferred momenmta):
#
nLarmorAvrgng=1 # number of averaged Larmor rotations
timeStep_2=nLarmorAvrgng*stepsNumberOnGyro*timeStep # time step for approach_2
matr_elec_2=guidingCenter_Matrix(.5*timeStep_2) # matrix for electron for timeStep_2/2
matr_ion_2=drift_Matrix(M_ion,.5*timeStep_2) # matrix for ion (with mass M_ion) for timeStep_2/2
trackNumb_2=-1 # Tracks will be enumerated from 0!
dpFactor_2=q_elec**2*timeStep_2 # g*cm^3/sec
minLarmR_b_2=1.e8 # dimensionless
maxLarmR_b_2=-1.e8 # dimensionless
minUpot_enrgKin_2=1.e8 # dimensionless
maxUpot_enrgKin_2=-1.e8 # dimensionless
#
# For approach_3 (with averaging over nLarmorAvrgng larmor rotation +
# "Guiding center" method to calculate the transferred momenmta):
#
nLarmorAvrgng=1 # number of averaged Larmor rotations
timeStep_3=nLarmorAvrgng*stepsNumberOnGyro*timeStep # time step for approach_3
matr_elec_3=guidingCenter_Matrix(.5*timeStep_3) # matrix for electron for timeStep_3/2
matr_ion_3=drift_Matrix(M_ion,.5*timeStep_3) # matrix for ion (with mass M_ion) for timeStep_3/2
trackNumb_3=-1 # Tracks will be enumerated from 0!
dpFactor_3=q_elec**2*timeStep_3 # g*cm^3/sec
minLarmR_b_3=1.e8 # dimensionless
maxLarmR_b_3=-1.e8 # dimensionless
minUpot_enrgKin_3=1.e8 # dimensionless
maxUpot_enrgKin_3=-1.e8 # dimensionless
print 'timeStep=%e, timeStep_2=%e, timeStep_3=%e' % (timeStep,timeStep_2,timeStep_3)
#
# To draw track with maximal transfer of px:
#
maxAbsDpxApprch=0.
maxAbsDpxApprch_2=0.
maxAbsDpxApprch_3=0.
totAbsDpxApprch=0.
totAbsDpxApprch_2=0.
totAbsDpxApprch_3=0.
indxAmaxAbsDpxApprch=0
indxAmaxAbsDpxApprch_2=0
indxAmaxAbsDpxApprch_3=0
indxBmaxAbsDpxApprch=0
indxBmaxAbsDpxApprch_2=0
indxBmaxAbsDpxApprch_3=0
trackNumbMaxAbsDpxApprch=0
trackNumbMaxAbsDpxApprch_2=0
trackNumbMaxAbsDpxApprch_3=0
runFlagApproach_1=0 # run approach1 if = 1, otherwise don't run
runFlagApproach_2=1 # run approach2 if = 1, otherwise don't run
runFlagApproach_3=0 # run approach3 if = 1, otherwise don't run
plotFlagWorkingArrays=0 # Plot working arrays if = 1, orherwise don't plot
plotFlagTracks=1 # Plot everything about tracks if = 1, orherwise don't plot
plotFlagDpTransf=0 # Plot everything about dp transf. if = 1, orherwise don't plot
maxYcoorElec=0.
maxYcoorIon=0.
cpuTimeTotal=0
for iA in range(nA):
crrntA[iA]=minA+stepA*iA # log10(Upot/Ekin)
for iB in range(nB):
crrntB[iB]=minB+stepB*iB # log10(Rlarm/b)
q=-alpha*math.pow(10.,crrntB[iB]-crrntA[iA])
#
# Equation: y^3+y+q=0:
#
D=1./27+(q/2)**2
root=math.pow(np.sqrt(D)-q/2,1./3)-math.pow(np.sqrt(D)+q/2,1./3)
# Checking, that root^3+root+q=0:
leftPart=root**3+root+q
# Corrections of the root:
m=0
while (abs(leftPart) > 1.e-8) and (m < 5):
deltaRoot=-leftPart/(root*(3.*root+1))
root += deltaRoot
leftPart=root**3+root+q
m += 1
evTran[iA,iB]=eVrmsLong*root # cm/sec
rho_larm[iA,iB]=evTran[iA,iB]/omega_L # cm
kinEnergy[iA,iB]=m_elec*(evTran[iA,iB]**2+eVrmsLong**2)/2. # erg
rhoCrrnt[iA,iB]=rhoCrit+rho_larm[iA,iB] # cm
halfLintr[iA,iB]=rho_larm[iA,iB]/math.pow(10.,crrntB[iB]) # cm
timePath[iA,iB]=halfLintr[iA,iB]/eVrmsLong # sec
numbLarmor[iA,iB]=int(timePath[iA,iB]/T_larm) # dimensionless
print 'iA=%d, iB=%d, trackNumber=%d, numbLarmor[iA,iB]=%d: Lintr(mkm)=%e, rhoLarm(mkm)=%e' % \
(iA,iB,trackNumb,numbLarmor[iA,iB],1.e4*halfLintr[iA,iB],1.e4*rho_larm[iA,iB])
if numbLarmor[iA,iB] >= 40:
trackNumb += 1 # Tracks are enumerated from 0!
trackNumb_2 += 1 # Tracks are enumerated from 0!
trackNumb_3 += 1 # Tracks are enumerated from 0!
larmorNumber[trackNumb]=numbLarmor[iA,iB]
larmorRadius[trackNumb]=rho_larm[iA,iB] # cm
timePoints[trackNumb]=int(numbLarmor[iA,iB]*stepsNumberOnGyro) # for approach_1; dimensionless
timePoints_2[trackNumb_2]=int(numbLarmor[iA,iB]/nLarmorAvrgng) # for approach_2; dimensionless
timePoints_3[trackNumb_3]=int(numbLarmor[iA,iB]/nLarmorAvrgng) # for approach_3; dimensionless
print 'timePoints=%d, timePoints_2=%d, timePoints_3=%d, numbLarmor[iA,iB]=%d' % \
(timePoints[trackNumb],timePoints_2[trackNumb_2],timePoints_2[trackNumb_3],larmorNumber[trackNumb])
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#
# Approach_1: dragging without averaging over larmor rotation
#
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
# To draw only first trajectories (for checking only):
#
#------- Start of calculations for approach_1 --------------
#
if runFlagApproach_1 == 1:
timeStart=os.times()
if trackNumb == 0:
rhoFirstTurn=rhoCrrnt[iA,iB]
rhoLarmorFirstTurn=rho_larm[iA,iB]
# 6-vectors for ion and electron and distance 'b' between them for the first trajectory and
# trajectory with maximal transferred dpx (TMTdpx)
# (for checking only; indices 0-5 for electron, indices 6-11 for ion and index=12 for 'b'):
prtclCoor=np.zeros((13,timePoints[trackNumb])) # first trajectory
prtclCoorCrrnt=np.zeros((13,timePoints[trackNumb])) # current trajectory
prtclCoorMaxAbsDpx=np.zeros((13,timePoints[trackNumb])) # trajectory TMTdpx
# Current distance from origin of the coordinate system to electron along the trajectory; cm
bCrrnt=np.zeros(timePoints[trackNumb]) # cm
# Current log10 of two important ratios; dimensionless:
larmR_bCrrnt=np.zeros(timePoints[trackNumb]) # ratio R_larmor/b; dimensionless
uPot_enrgKinCrrnt=np.zeros(timePoints[trackNumb]) # ratio potential_energy/kinetic_energy; dimensionless
dpApprch_1Crrnt=np.zeros((3,timePoints[trackNumb])) # 1/cm^2; deltaPapprch_1=dpFactor*dpApprch_1Crrnt; dpFactor=q_e^2*timeStep
for m in range(6):
z_ionCrrnt[m]=0. # Current initial zero-vector for ion
z_elecCrrnt[m]=0. # Zeroing out of vector for electron
# Current initial vector for electron:
z_elecCrrnt[Ix]=rhoCrrnt[iA,iB] # x, cm
z_elecCrrnt[Iz]=-halfLintr[iA,iB] # z, cm
z_elecCrrnt[Ipy]=m_elec*evTran[iA,iB] # py, g*cm/sec
z_elecCrrnt[Ipz]=m_elec*eVrmsLong # pz, g*cm/sec
#-----------------------------------------------
# Main action - dragging of the current trajectories (for given i and j)
#
for k in range(int(timePoints[trackNumb])):
z_elecCrrnt=np.dot(matr_elec,z_elecCrrnt) # electron's dragging
z_ionCrrnt=np.dot(matr_ion,z_ionCrrnt) # ion's dragging
# Current distance between ion and electron; cm:
bCrrnt[k]=np.sqrt((z_ionCrrnt[0]-z_elecCrrnt[0])**2+ \
(z_ionCrrnt[2]-z_elecCrrnt[2])**2+ \
(z_ionCrrnt[4]-z_elecCrrnt[4])**2)
# Current log10 of two important ratios:
larmR_bCrrnt[k]=math.log10(rho_larm[iA,iB]/bCrrnt[k]) # dimensionless
if maxLarmR_b_1 < larmR_bCrrnt[k]:
maxLarmR_b_1=larmR_bCrrnt[k]
if minLarmR_b_1 > larmR_bCrrnt[k]:
minLarmR_b_1=larmR_bCrrnt[k]
uPot_enrgKinCrrnt[k]=math.log10((q_elec**2/bCrrnt[k])/kinEnergy[iA,iB]) # dimensionless
if maxUpot_enrgKin_1 < uPot_enrgKinCrrnt[k]:
maxUpot_enrgKin_1=uPot_enrgKinCrrnt[k]
if minUpot_enrgKin_1 > uPot_enrgKinCrrnt[k]:
minUpot_enrgKin_1=uPot_enrgKinCrrnt[k]
# Current values to calculate deltaPapprch_1=dpFactor*dpApprch_1Crrnt; dpFactor=q_e^2*timeStep:
for ic in range(3):
dpApprch_1Crrnt[ic,k]= abs(z_ionCrrnt[2*ic]-z_elecCrrnt[2*ic])/ bCrrnt[k]**3 # 1/cm^2;
# To draw future TMTdpx trajectory (for checking only):
for ic in range(6):
prtclCoorCrrnt[ic,pointTrack[trackNumb]]=z_elecCrrnt[ic] # 6-vector for electron
prtclCoorCrrnt[6+ic,pointTrack[trackNumb]]=z_ionCrrnt[ic] # 6-vector for ion
prtclCoorCrrnt[12,pointTrack[trackNumb]]=bCrrnt[k] # cm
# To draw only first trajectory (for checking only):
if trackNumb == 0:
for ic in range(6):
prtclCoor[ic,pointTrack[trackNumb]]=z_elecCrrnt[ic] # 6-vector for electron
prtclCoor[6+ic,pointTrack[trackNumb]]=z_ionCrrnt[ic] # 6-vector for ion
prtclCoor[12,pointTrack[trackNumb]]=bCrrnt[k] # cm
if maxYcoorElec < abs(z_elecCrrnt[2]):
maxYcoorElec=abs(z_elecCrrnt[2])
if maxYcoorIon < abs(z_ionCrrnt[2]):
maxYcoorIon=abs(z_ionCrrnt[2])
# crrntPoint=pointTrack[trackNumb]
# if crrntPoint < 100 or crrntPoint > 45400:
# print 'Point %d: x=%e, y=%e, z=%e' % \
# (crrntPoint,1.e+7*prtclCoor[6,crrntPoint],1.e+7*prtclCoor[8,crrntPoint], \
# 1.e+7*prtclCoor[10,crrntPoint])
#
# Taking into account transfer of momentum for both particles:
#
for ic in range(3):
z_ionCrrnt[2*ic+1] += -dpFactor*dpApprch_1Crrnt[ic,k]
z_elecCrrnt[2*ic+1] += dpFactor*dpApprch_1Crrnt[ic,k]
pointTrack[trackNumb] += 1
#
# Total transferred dpx for current track:
#
totAbsDpxApprch += abs(dpFactor*dpApprch_1Crrnt[0,k])
#
# End of dragging of the current trajectory
#-----------------------------------------------
#
# Accumulate transferred momenta and other data:
#
if trackNumb == 0:
# First definition of the total distance from origin of the coordinate system to electron along the trajectory; cm:
b=bCrrnt # cm
# First definition of the log10 of two important ratios; dimensionless:
larmR_b=larmR_bCrrnt # dimensionless
uPot_enrgKin=uPot_enrgKinCrrnt # dimensionless
# First definition of the values to calculate deltaPapprch_1:
dpxApprch_1=dpFactor*dpApprch_1Crrnt[0,:] # g*cm/sec
dpyApprch_1=dpFactor*dpApprch_1Crrnt[1,:] # g*cm/sec
dpzApprch_1=dpFactor*dpApprch_1Crrnt[2,:] # g*cm/sec
else:
# Total distance from origin of the coordinate system to electron along the trajectory:
b=np.concatenate((b,bCrrnt),axis=0) # cm
# Total log10 of two important ratios; dimensionless:
larmR_b=np.concatenate((larmR_b,larmR_bCrrnt),axis=0)
uPot_enrgKin=np.concatenate((uPot_enrgKin,uPot_enrgKinCrrnt),axis=0)
# Total values to calculate deltaPapprch_1:
dpxApprch_1=np.concatenate((dpxApprch_1,dpFactor*dpApprch_1Crrnt[0,:]),axis=0) # g*cm/sec
dpyApprch_1=np.concatenate((dpyApprch_1,dpFactor*dpApprch_1Crrnt[1,:]),axis=0) # g*cm/sec
dpzApprch_1=np.concatenate((dpzApprch_1,dpFactor*dpApprch_1Crrnt[2,:]),axis=0) # g*cm/sec
#
# To draw TMTdpx trajectory (for checking only):
#
if maxAbsDpxApprch < totAbsDpxApprch:
maxAbsDpxApprch=totAbsDpxApprch
indxAmaxAbsDpxApprch=iA
indxBmaxAbsDpxApprch=iB
trackNumbMaxAbsDpxApprch=trackNumb
prtclCoorMaxAbsDpx=prtclCoorCrrnt.copy()
rhoMaxAbsDpxTurn=rhoCrrnt[iA,iB]
rhoLarmorMaxAbsDpxTurn=rho_larm[iA,iB]
print 'iA=%d, iB=%d: track %d, points %d' % \
(indxAmaxAbsDpxApprch,indxBmaxAbsDpxApprch,trackNumbMaxAbsDpxApprch,pointTrack[trackNumbMaxAbsDpxApprch])
print 'timePoints.shape: ', (prtclCoorMaxAbsDpx.shape[0],prtclCoorMaxAbsDpx.shape[1])
# End of all calculations for approach_1
lastTrackNumber=trackNumb+1 # quantity of tracks = trackNumb + 1!
sumPoints += pointTrack[trackNumb]
timeEnd=os.times()
cpuTime[trackNumb]=1.e+6*(float(timeEnd[0])-float(timeStart[0])) # CPU time , mks
cpuTimeTotal += cpuTime[trackNumb]
#
#------- End of approach_1 --------------
#
# for i in range(lastTrackNumber):
# print 'Track %d: larmor turns=%d, cpuTime(mks)=%e, time per turn(mks)=%6.1f' % \
# (i,larmorNumber[i],cpuTime[i],cpuTime[i]/larmorNumber[i])
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#
# Approach_2: dragging with averaging over nLarmorAvrgng larmor rotation +
# "Guiding center" method to calculate the transferred momenta
#
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#
#------- Start of calculations for approach_2 --------------
#
if runFlagApproach_2 == 1:
timeStart=os.times()
if trackNumb_2 == 0:
rhoFirstTurn=rhoCrrnt[iA,iB]
rhoLarmorFirstTurn=rho_larm[iA,iB]
# 6-vectors for ion and electron and distance 'b' between them for the first trajectories
# (for checking only; indices 0-5 for electron, indices 6-11 for ion, index=12 for 'b' and index=13 for action):
prtclCoor_2=np.zeros((14,timePoints_2[trackNumb_2]))
prtclCoorCrrnt_2=np.zeros((14,timePoints_2[trackNumb_2])) # current trajectory
prtclCoorMaxAbsDp_2=np.zeros((14,timePoints_2[trackNumb_2])) # trajectory TMTdpx
# Current distance from origin of the coordinate system to electron along the trajectory; cm
bCrrnt_2=np.zeros(timePoints_2[trackNumb_2]) # cm
# Current log10 of two important ratios; dimensionless:
larmR_bCrrnt_2=np.zeros(timePoints_2[trackNumb_2]) # ratio R_larmor/b; dimensionless
uPot_enrgKinCrrnt_2=np.zeros(timePoints_2[trackNumb_2]) # ratio potential_energy/kinetic_energy; dimensionless
dpApprch_2Crrnt=np.zeros((3,timePoints_2[trackNumb_2])) # g*cm/sec
for m in range(6):
z_ionCrrnt_2[m]=0. # Current initial zero-vector for ion
z_elecCrrnt_2[m]=0. # Zeroing out of vector for electron
# Current initial vector for electron:
z_elecCrrnt_2[Ix]=rhoCrrnt[iA,iB]+larmorRadius[trackNumb_2] # x, cm
z_elecCrrnt_2[Iz]=-halfLintr[iA,iB] # z, cm
z_elecCrrnt_2[Ipy]=m_elec*evTran[iA,iB] # py, g*cm/sec
z_elecCrrnt_2[Ipz]=m_elec*eVrmsLong # pz, g*cm/sec
z_elecCrrnt_gc=toGuidingCenter(z_elecCrrnt_2) # transfer to system of guiding center
# if iA == 0 and iB == 0:
# print 'z_elecCrrnt_2: ', z_elecCrrnt_2
# print 'z_elecCrrnt_gc: ', z_elecCrrnt_gc
#-----------------------------------------------
# Main action - dragging of the current trajectories (for given i and j)
#
for k in range(int(timePoints_2[trackNumb_2])):
# if k < 100:
# print 'k=%d: x=%e, y=%e, z=%e' % (k,1.e+4*z_elecCrrnt_gc[0],1.e+4*z_elecCrrnt_gc[2],1.e+4*z_elecCrrnt_gc[4])
# if k > timePoints_2[trackNumb_2]-100:
# print 'k=%d: x=%e, y=%e, z=%e' % (k,1.e+4*z_elecCrrnt_gc[0],1.e+4*z_elecCrrnt_gc[2],1.e+4*z_elecCrrnt_gc[4])
# z_elecCrrnt_gc=matr_elec_2.dot(z_elecCrrnt_gc) # electron's dragging for first nhalf timeStep
# z_ionCrrnt_2=matr_ion_2.dot(z_ionCrrnt_2) # ion's dragging for first half timeStep
z_elecCrrnt_gc=np.dot(matr_elec_2,z_elecCrrnt_gc) # electron's dragging for first nhalf timeStep
z_ionCrrnt_2=np.dot(matr_ion_2,z_ionCrrnt_2) # ion's dragging for first half timeStep
# dragging both paticles through interaction point:
dpIon,dpElec,action=guidingCenterCollision(z_elecCrrnt_gc,z_ionCrrnt_2,timeStep_2)
# if trackNumb_2 == 0:
# print 'point %d: dpxIo=%endpIondpIon' % (pointTrack_2[0],dpElec[1],dpElec[2])
for ic in range(3):
z_ionCrrnt_2[2*ic+1] += dpIon[ic]
z_elecCrrnt_gc[2*ic+1] += dpElec[ic]
# Current values to calculate deltaPapprch_2:
dpApprch_2Crrnt[ic,k]=dpIon[ic] # g*cm/sec
# z_elecCrrnt_gc=matr_elec_2.dot(z_elecCrrnt_gc) # electron's dragging for second half timeStep
# z_ionCrrnt_2=matr_ion_2.dot(z_ionCrrnt_2) # ion's dragging for second half timeStep
z_elecCrrnt_gc=np.dot(matr_elec_2,z_elecCrrnt_gc) # electron's dragging for first nhalf timeStep
z_ionCrrnt_2=np.dot(matr_ion_2,z_ionCrrnt_2) # ion's dragging for first half timeStep
# crrntPoint=pointTrack_2[trackNumb_2]
# if iA == 0 and iB == 0 and crrntPoint < 10:
# print 'k, z_ionCrrnt_2', (k,z_ionCrrnt_2)
z_elecCrrnt_2=fromGuidingCenter(z_elecCrrnt_gc) # transfer from system of guiding center
# Current distance between ion and electron; cm:
bCrrnt_2[k]=np.sqrt((z_ionCrrnt_2[0]-z_elecCrrnt_2[0])**2+ \
(z_ionCrrnt_2[2]-z_elecCrrnt_2[2])**2+ \
(z_ionCrrnt_2[4]-z_elecCrrnt_2[4])**2)
# Current log10 of two important ratios:
larmR_bCrrnt_2[k]=math.log10(rho_larm[iA,iB]/bCrrnt_2[k]) # dimensionless
if maxLarmR_b_2 < larmR_bCrrnt_2[k]:
maxLarmR_b_2=larmR_bCrrnt_2[k]
if minLarmR_b_2 > larmR_bCrrnt_2[k]:
minLarmR_b_2=larmR_bCrrnt_2[k]
uPot_enrgKinCrrnt_2[k]=math.log10((q_elec**2/bCrrnt_2[k])/kinEnergy[iA,iB]) # dimensionless
if maxUpot_enrgKin_2 < uPot_enrgKinCrrnt_2[k]:
maxUpot_enrgKin_2=uPot_enrgKinCrrnt_2[k]
if minUpot_enrgKin_2 > uPot_enrgKinCrrnt_2[k]:
minUpot_enrgKin_2=uPot_enrgKinCrrnt_2[k]
# To draw future TMTdpx trajectory (for checking only):
for ic in range(6):
prtclCoorCrrnt_2[ic,pointTrack_2[trackNumb_2]]=z_elecCrrnt_2[ic] # 6-vector for electron
prtclCoorCrrnt_2[6+ic,pointTrack_2[trackNumb_2]]=z_ionCrrnt_2[ic] # 6-vector for ion
prtclCoorCrrnt_2[12,pointTrack_2[trackNumb_2]]=bCrrnt_2[k] # cm
prtclCoorCrrnt_2[13,pointTrack_2[trackNumb_2]]=action # g*cm^2/sec
# To draw only first trajectory (for checking only):
if trackNumb_2 == 0:
for ic in range(6):
prtclCoor_2[ic,pointTrack_2[trackNumb_2]]=z_elecCrrnt_2[ic] # 6-vector for electron
prtclCoor_2[6+ic,pointTrack_2[trackNumb_2]]=z_ionCrrnt_2[ic] # 6-vector for ion
prtclCoor_2[12,pointTrack_2[trackNumb_2]]=bCrrnt_2[k] # cm
prtclCoor_2[13,pointTrack_2[trackNumb_2]]=action # g*cm^2/sec
# crrntPoint=pointTrack_2[trackNumb_2]
# if crrntPoint < 100 or crrntPoint > 1700:
# print 'Point %d: x=%e, y=%e, z=%e' % \
# (crrntPoint,1.e+7*prtclCoor_2[6,crrntPoint],1.e+7*prtclCoor_2[8,crrntPoint], \
# 1.e+7*prtclCoor_2[10,crrntPoint])
pointTrack_2[trackNumb_2] += 1
#
# Total transferred dpx for current track:
#
totAbsDpxApprch_2 += abs(dpFactor*dpApprch_2Crrnt[0,k])
# End of dragging of the current trajectory
#-----------------------------------------------
#
# Accumulate transferred momenta and other data:
#
if trackNumb_2 == 0:
# First definition of the total distance from origin of the coordinate system to electron along the trajectory:
b_2=bCrrnt_2 # cm
# First definition of the log10 of two important ratios; dimensionless:
larmR_b_2=larmR_bCrrnt_2
uPot_enrgKin_2=uPot_enrgKinCrrnt_2
# First definition of the values deltaPapprch_2:
dpxApprch_2=dpApprch_2Crrnt[0,:] # g*cm/sec
dpyApprch_2=dpApprch_2Crrnt[1,:] # g*cm/sec
dpzApprch_2=dpApprch_2Crrnt[2,:] # g*cm/sec
else:
# Total distance from origin of the coordinate system to electron along the trajectory:
b_2=np.concatenate((b_2,bCrrnt_2),axis=0) # cm
# Total log10 of two important ratios; dimensionless :
larmR_b_2=np.concatenate((larmR_b_2,larmR_bCrrnt_2),axis=0)
uPot_enrgKin_2=np.concatenate((uPot_enrgKin_2,uPot_enrgKinCrrnt_2),axis=0)
# Total values deltaPapprch_2 (g*cm/sec):
dpxApprch_2=np.concatenate((dpxApprch_2,dpApprch_2Crrnt[0,:]),axis=0)
dpyApprch_2=np.concatenate((dpyApprch_2,dpApprch_2Crrnt[1,:]),axis=0)
dpzApprch_2=np.concatenate((dpzApprch_2,dpApprch_2Crrnt[2,:]),axis=0)
# print 'trackNumb_2:%d: shapes: b=%d, larmR_b_2=%d, uPot=%d, dpx=%d, dpy=%d, dpz=%d' % \
# (trackNumb_2,b.shape[0],larmR_b_2.shape[0],uPot_enrgKin_2.shape[0], \
# dpxApprch_2.shape[0],dpyApprch_2.shape[0],dpzApprch_2.shape[0])
#
# To draw TMTdpx trajectory (for checking only):
#
if maxAbsDpxApprch_2 < totAbsDpxApprch_2:
maxAbsDpxApprch_2=totAbsDpxApprch_2
indxAmaxAbsDpxApprch_2=iA
indxBmaxAbsDpxApprch_2=iB
trackNumbMaxAbsDpxApprch_2=trackNumb
prtclCoorMaxAbsDpx_2=prtclCoorCrrnt_2.copy()
rhoMaxAbsDpxTurn_2=rhoCrrnt[iA,iB]
rhoLarmorMaxAbsDpxTurn_2=rho_larm[iA,iB]
print 'iA=%d, iB=%d: track %d, points %d' % (indxAmaxAbsDpxApprch_2,\
indxBmaxAbsDpxApprch_2,trackNumbMaxAbsDpxApprch_2, \
pointTrack[trackNumbMaxAbsDpxApprch_2])
print 'timePoints.shape: ', (prtclCoorMaxAbsDpx_2.shape[0], \
. prtclCoorMaxAbsDpx_2.shape[1])
# End of all calculations for approach_2
lastTrackNumber_2=trackNumb_2+1 # quantity of tracks = trackNumb_2 + 1!
sumPoints_2 += pointTrack_2[trackNumb_2]
timeEnd=os.times()
cpuTime_2[trackNumb_2]=1.e+6*(float(timeEnd[0])-float(timeStart[0])) # CPU time, mks
cpuTimeTotal += cpuTime_2[trackNumb_2]
#
#------- End of approach_2 --------------
#
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#
# Approach_3: dragging with averaging over nLarmorAvrgng larmor rotation +
# "Magnus expansion" method to calculate the transferred momenta
#
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#
#------- Start of calculations for approach_3 --------------
#
if runFlagApproach_3 == 1:
timeStart=os.times()
if trackNumb_3 == 0:
rhoFirstTurn=rhoCrrnt[iA,iB]
rhoLarmorFirstTurn=rho_larm[iA,iB]
# 6-vectors for ion and electron and distance 'b' between them for the first trajectories
# (for checking only; indices 0-5 for electron, indices 6-11 for ion, index=12 for 'b',
# index=13 for action and index=14 for dy_gc):
prtclCoor_3=np.zeros((15,timePoints_3[trackNumb_3]))
prtclCoorCrrnt_3=np.zeros((15,timePoints_3[trackNumb_3])) # current trajectory
prtclCoorMaxAbsDp_3=np.zeros((15,timePoints_3[trackNumb_3])) # trajectory TMTdpx
# Current distance from origin of the coordinate system to electron along the trajectory; cm
bCrrnt_3=np.zeros(timePoints_3[trackNumb_3]) # cm
# Current log10 of two important ratios; dimensionless:
larmR_bCrrnt_3=np.zeros(timePoints_3[trackNumb_3]) # ratio R_larmor/b; dimensionless
uPot_enrgKinCrrnt_3=np.zeros(timePoints_3[trackNumb_3]) # ratio potential_energy/kinetic_energy; dimensionless
dpApprch_3Crrnt=np.zeros((3,timePoints_3[trackNumb_3])) # g*cm/sec
for m in range(6):
z_ionCrrnt_3[m]=0. # Current initial zero-vector for ion
z_elecCrrnt_3[m]=0. # Zeroing out of vector for electron
# Current initial vector for electron:
z_elecCrrnt_3[Ix]=rhoCrrnt[iA,iB]+larmorRadius[trackNumb_3] # x, cm
z_elecCrrnt_3[Iz]=-halfLintr[iA,iB] # z, cm
z_elecCrrnt_3[Ipy]=m_elec*evTran[iA,iB] # py, g*cm/sec
z_elecCrrnt_3[Ipz]=m_elec*eVrmsLong # pz, g*cm/sec
z_elecCrrnt_gc=toGuidingCenter(z_elecCrrnt_3) # transfer to system of guiding center
# if iA == 0 and iB == 0:
# print 'z_elecCrrnt_3: ', z_elecCrrnt_3
# print 'z_elecCrrnt_gc: ', z_elecCrrnt_gc
#-----------------------------------------------
# Main action - dragging of the current trajectories (for given i and j)
#
for k in range(int(timePoints_3[trackNumb_3])):
# if k < 100:
# print 'k=%d: x=%e, y=%e, z=%e' % (k,1.e+4*z_elecCrrnt_gc[0],1.e+4*z_elecCrrnt_gc[2],1.e+4*z_elecCrrnt_gc[4])
# if k > timePoints_2[trackNumb_3]-100:
# print 'k=%d: x=%e, y=%e, z=%e' % (k,1.e+4*z_elecCrrnt_gc[0],1.e+4*z_elecCrrnt_gc[2],1.e+4*z_elecCrrnt_gc[4])
# z_elecCrrnt_gc=matr_elec_3.dot(z_elecCrrnt_gc) # electron's dragging for first half timeStep
# z_ionCrrnt_3=matr_ion_3.dot(z_ionCrrnt_3) # ion's dragging for first half timeStep
z_elecCrrnt_gc=np.dot(matr_elec_3,z_elecCrrnt_gc) # electron's dragging for first half timeStep
z_ionCrrnt_3=np.dot(matr_ion_3,z_ionCrrnt_3) # ion's dragging for first half timeStep
# dragging both paticles through interaction point:
dpIon,dpElec,action,dy_gc=MagnusExpansionCollision(z_elecCrrnt_gc,z_ionCrrnt_3,timeStep_3)
# if trackNumb_3 == 0:
# print 'point %d: dpxIon=%e, dpyIon=%e, dpzIon=%e, dy_gc=%e' % \
# (pointTrack_3[0],dpIon[0],dpIon[1],dpElec[2],dy_gc)
for ic in range(3):
z_ionCrrnt_3[2*ic+1] += dpIon[ic]
z_elecCrrnt_gc[2*ic+1] += dpElec[ic]
# Current values to calculate deltaPapprch_3:
dpApprch_3Crrnt[ic,k]=dpIon[ic] # g*cm/sec
z_elecCrrnt_gc[2] += dy_gc # cm
# z_elecCrrnt_gc=matr_elec_2.dot(z_elecCrrnt_gc) # electron's dragging for second half timeStep
# z_ionCrrnt_2=matr_ion_2.dot(z_ionCrrnt_2) # ion's dragging for second half timeStep
z_elecCrrnt_gc=np.dot(matr_elec_3,z_elecCrrnt_gc) # electron's dragging for second half timeStep
z_ionCrrnt_2=np.dot(matr_ion_3,z_ionCrrnt_3) # ion's dragging for second half timeStep
# crrntPoint=pointTrack_3[trackNumb_3]
# if iA == 0 and iB == 0 and crrntPoint < 10:
# print 'k, z_ionCrrnt_3', (k,z_ionCrrnt_3)
z_elecCrrnt_3=fromGuidingCenter(z_elecCrrnt_gc) # transfer from system of guiding center
# Current distance between ion and electron; cm:
bCrrnt_3[k]=np.sqrt((z_ionCrrnt_3[0]-z_elecCrrnt_3[0])**2+ \
(z_ionCrrnt_3[2]-z_elecCrrnt_3[2])**2+ \
(z_ionCrrnt_3[4]-z_elecCrrnt_3[4])**2)
# Current log10 of two important ratios:
larmR_bCrrnt_3[k]=math.log10(rho_larm[iA,iB]/bCrrnt_3[k]) # dimensionless
if maxLarmR_b_3 < larmR_bCrrnt_3[k]:
maxLarmR_b_3=larmR_bCrrnt_3[k]
if minLarmR_b_3 > larmR_bCrrnt_3[k]:
minLarmR_b_3=larmR_bCrrnt_3[k]
uPot_enrgKinCrrnt_3[k]=math.log10((q_elec**2/bCrrnt_3[k])/kinEnergy[iA,iB]) # dimensionless
if maxUpot_enrgKin_3 < uPot_enrgKinCrrnt_3[k]:
maxUpot_enrgKin_3=uPot_enrgKinCrrnt_3[k]
if minUpot_enrgKin_3 > uPot_enrgKinCrrnt_3[k]:
minUpot_enrgKin_3=uPot_enrgKinCrrnt_3[k]
# To draw future TMTdpx trajectory (for checking only):
for ic in range(6):
prtclCoorCrrnt_3[ic,pointTrack_3[trackNumb_3]]=z_elecCrrnt_3[ic] # 6-vector for electron
prtclCoorCrrnt_3[6+ic,pointTrack_3[trackNumb_3]]=z_ionCrrnt_3[ic] # 6-vector for ion
prtclCoorCrrnt_3[12,pointTrack_3[trackNumb_3]]=bCrrnt_3[k] # cm
prtclCoorCrrnt_3[13,pointTrack_3[trackNumb_3]]=action # g*cm^2/sec
prtclCoorCrrnt_3[14,pointTrack_3[trackNumb_3]]=dy_gc # cm
# To draw only first trajectory (for checking only):
if trackNumb_3 == 0:
for ic in range(6):
prtclCoor_3[ic,pointTrack_3[trackNumb_3]]=z_elecCrrnt_3[ic] # 6-vector for electron
prtclCoor_3[6+ic,pointTrack_3[trackNumb_3]]=z_ionCrrnt_3[ic] # 6-vector for ion
prtclCoor_3[12,pointTrack_3[trackNumb_3]]=bCrrnt_3[k] # cm
prtclCoor_3[13,pointTrack_3[trackNumb_3]]=action # g*cm^2/sec
prtclCoor_3[14,pointTrack_3[trackNumb_3]]=dy_gc # cm
# crrntPoint=pointTrack_3[trackNumb_3]
# if crrntPoint < 100 or crrntPoint > 1700:
# print 'Point %d: x=%e, y=%e, z=%e' % \
# (crrntPoint,1.e+7*prtclCoor_3[6,crrntPoint],1.e+7*prtclCoor_3[8,crrntPoint], \
# 1.e+7*prtclCoor_3[10,crrntPoint])
pointTrack_3[trackNumb_3] += 1
#
# Total transferred dpx for current track:
#
totAbsDpxApprch_3 += abs(dpFactor*dpApprch_3Crrnt[0,k])
# End of dragging of the current trajectory
#-----------------------------------------------
#
# Accumulate transferred momenta and other data:
#
if trackNumb_3 == 0:
# First definition of the total distance from origin of the coordinate system to electron along the trajectory:
b_3=bCrrnt_3 # cm
# First definition of the log10 of two important ratios; dimensionless:
larmR_b_3=larmR_bCrrnt_3
uPot_enrgKin_3=uPot_enrgKinCrrnt_3
# First definition of the values deltaPapprch_3:
dpxApprch_3=dpApprch_3Crrnt[0,:] # g*cm/sec
dpyApprch_3=dpApprch_3Crrnt[1,:] # g*cm/sec
dpzApprch_3=dpApprch_3Crrnt[2,:] # g*cm/sec
else:
# Total distance from origin of the coordinate system to electron along the trajectory:
b_3=np.concatenate((b_3,bCrrnt_3),axis=0) # cm
# Total log10 of two important ratios; dimensionless :
larmR_b_3=np.concatenate((larmR_b_3,larmR_bCrrnt_3),axis=0)
uPot_enrgKin_3=np.concatenate((uPot_enrgKin_3,uPot_enrgKinCrrnt_3),axis=0)
# Total values deltaPapprch_3:
dpxApprch_3=np.concatenate((dpxApprch_3,dpApprch_3Crrnt[0,:]),axis=0) # g*cm/sec
dpyApprch_3=np.concatenate((dpyApprch_3,dpApprch_3Crrnt[1,:]),axis=0) # g*cm/sec
dpzApprch_3=np.concatenate((dpzApprch_3,dpApprch_3Crrnt[2,:]),axis=0) # g*cm/sec
# print 'trackNumb_3:%d: shapes: b=%d, larmR_b_3=%d, uPot=%d, dpx=%d, dpy=%d, dpz=%d' % \
# (trackNumb_3,b.shape[0],larmR_b_3.shape[0],uPot_enrgKin_3.shape[0], \
# dpxApprch_3.shape[0],dpyApprch_3.shape[0],dpzApprch_3.shape[0])
#
# To draw TMTdpx trajectory (for checking only):
#
if maxAbsDpxApprch_3 < totAbsDpxApprch_3:
maxAbsDpxApprch_3=totAbsDpxApprch_3
indxAmaxAbsDpxApprch_3=iA
indxBmaxAbsDpxApprch_3=iB
trackNumbMaxAbsDpxApprch_3=trackNumb
prtclCoorMaxAbsDpx_3=prtclCoorCrrnt_3.copy()
rhoMaxAbsDpxTurn_3=rhoCrrnt[iA,iB]
rhoLarmorMaxAbsDpxTurn_3=rho_larm[iA,iB]
print 'iA=%d, iB=%d: track %d, points %d' % (indxAmaxAbsDpxApprch_3,\
indxBmaxAbsDpxApprch_3,trackNumbMaxAbsDpxApprch_3,pointTrack[trackNumbMaxAbsDpxApprch_3])
print 'timePoints.shape: ', (prtclCoorMaxAbsDpx_3.shape[0],prtclCoorMaxAbsDpx_3.shape[1])
# End of all calculations for approach_3
lastTrackNumber_3=trackNumb_3+1 # quantity of tracks = trackNumb_2 + 1!
sumPoints_3 += pointTrack_3[trackNumb_3]
timeEnd=os.times()
cpuTime_3[trackNumb_3]=1.e+6*(float(timeEnd[0])-float(timeStart[0])) # CPU time , mks
cpuTimeTotal += cpuTime_3[trackNumb_3]
# for k in range (int(pointTrack_3[0])):
# print 'Point %d: dpxIon=%e, dpyIon=%e, dpzIon=%e' % \
# (k,dpxApprch_3[k],dpyApprch_3[k],dpzApprch_3[k])
#
#------- End of approach_3 --------------
#
if runFlagApproach_1 == 1:
print 'Approach_1: maxYcoorElec=%e mkm, maxYcoorIon=%e nm' % (1.e+4*maxYcoorElec,1.e+7*maxYcoorIon)
print 'Approach_1: for %d tracks number of points is %d' % (lastTrackNumber,sumPoints)
if runFlagApproach_2 == 1:
print 'Approach_2: for %d tracks number of points is %d' % (lastTrackNumber_2,sumPoints_2)
# for i in range(b_2LenFirstTrack):
# print 'action(%d)=%e' % (i,prtclCoor_2[13,i])
if runFlagApproach_3 == 1:
print 'Approach_3: for %d tracks number of points is %d' % (lastTrackNumber_3,sumPoints_3)
# for i in range(lastTrackNumber):
# print 'Track %d: larmor turns=%d, cpuTime(mks)=%e, time per turn(mks)=%6.1f' % \
# (i,larmorNumber[i],cpuTime[i],cpuTime[i]/larmorNumber[i])
print 'cpuTimeTotal(mksec) = %e' % cpuTimeTotal
#
# First track: to compare distances between particles for approach_1 and approach_2,3 (figure 325):
#
if runFlagApproach_1 == 1:
bArray=np.asarray(b)
bLenFirstTrack=int(timePoints[0])
print 'First track length for b: %d' % bLenFirstTrack
if runFlagApproach_2 == 1:
b_2Array=np.asarray(b_2)
b_2LenFirstTrack=int(timePoints_2[0])
print 'First track length for b_2: %d' % b_2LenFirstTrack
if runFlagApproach_3 == 1:
b_3Array=np.asarray(b_3)
b_3LenFirstTrack=int(timePoints_3[0])
print 'First track length for b_3: %d' % b_3LenFirstTrack
#
# Calculation of the difference for distance beteween electron and ion for approach_1 and approach_2:
#
if runFlagApproach_1 == 1 and runFlagApproach_2 == 1:
diff_b2=np.zeros(b_2LenFirstTrack)
print 'b_2LenFirstTrack=%d' % b_2LenFirstTrack
k=0
nStart=0
for m in range(b_2LenFirstTrack):
for n in range(nStart,bLenFirstTrack):
if prtclCoor[4,n] == prtclCoor_2[4,m]:
diff_b2[m]=bArray[n]-b_2Array[m]
nStart=n-1
break
if prtclCoor[4,n] > prtclCoor_2[4,m]:
if n == 0:
diff_b2[m]=bArray[n]-b_2Array[m]
else:
bCurrent=bArray[n-1]+(bArray[n]-bArray[n-1])*(prtclCoor_2[4,m]-prtclCoor[4,n-1])/(prtclCoor[4,n]-prtclCoor[4,n-1])
diff_b2[m]=bCurrent-b_2Array[m]
nStart=n-1
break
#
# First track: to compare distances between particles for approach_1 and approach_3 (figure 335):
#
if runFlagApproach_1 == 1 and runFlagApproach_3 == 1:
diff_b3=np.zeros(b_3LenFirstTrack)
print 'b_3LenFirstTrack=%d' % b_3LenFirstTrack
#
# Calculation of the difference for distance beteween electron and ion for approach_1 and approach_3:
#
k=0
nStart=0
for m in range(b_3LenFirstTrack):
for n in range(nStart,bLenFirstTrack):
if prtclCoor[4,n] == prtclCoor_3[4,m]:
diff_b3[m]=bArray[n]-b_3Array[m]
nStart=n-1
break
if prtclCoor[4,n] > prtclCoor_3[4,m]:
if n == 0:
diff_b3[m]=bArray[n]-b_3Array[m]
else:
bCurrent=bArray[n-1]+(bArray[n]-bArray[n-1])*(prtclCoor_3[4,m]-prtclCoor[4,n-1])/(prtclCoor[4,n]-prtclCoor[4,n-1])
diff_b3[m]=bCurrent-b_3Array[m]
nStart=n-1
break
nBins=80
timeStart=os.times()
###################################################
#
# Data processing of the first approach:
#: layout of arrays xA=uPot_enrgKin, yB=larmR_b to nBins channels
# and arrays zApprch1dpx, zApprch1dpy, zApprch1dpz to (nBins x nBins) channels
#
###################################################
if runFlagApproach_1 == 1:
xA=np.zeros(nBins)
xAedges=np.zeros(nBins+1)
xAnumb=np.zeros(nBins)
xAstep=(maxUpot_enrgKin_1-minUpot_enrgKin_1)/nBins
for i in range(nBins+1):
xAedges[i]=minUpot_enrgKin_1+xAstep*i
yB=np.zeros(nBins)
yBedges=np.zeros(nBins+1)
yBnumb=np.zeros(nBins)
yBstep=(maxLarmR_b_1-minLarmR_b_1)/nBins
for i in range(nBins+1):
yBedges[i]=minLarmR_b_1+yBstep*i
zApprch1dpNumb=np.zeros((nBins,nBins))
zApprch1dpx=np.zeros((nBins,nBins))
zApprch1dpy=np.zeros((nBins,nBins))
zApprch1dpz=np.zeros((nBins,nBins))
for nPoint in range(int(sumPoints)):
for iA in range(nBins):
searchAflag=0
if (xAedges[iA] <= uPot_enrgKin[nPoint] < xAedges[iA+1]):
if xAnumb[iA] == 0:
xA[iA]=uPot_enrgKin[nPoint] # log10(Upot/Ekin)
else:
xA[iA]=(xA[iA]*xAnumb[iA]+uPot_enrgKin[nPoint])/(xAnumb[iA]+1) # averaging inside bin iA
xAnumb[iA] += 1
searchAflag=1
break
if searchAflag == 0:
xA[nBins-1]=(xA[nBins-1]*xAnumb[nBins-1]+uPot_enrgKin[nPoint])/(xAnumb[nBins-1]+1) # averaging inside bin iA
xAnumb[nBins-1] += 1
for iB in range(nBins):
searchBflag=0
if (yBedges[iB] <= larmR_b[nPoint] < yBedges[iB+1]):
if yBnumb[iB] == 0:
yB[iB]=larmR_b[nPoint] # log10(Rlarm/b)
else:
yB[iB]=(yB[iB]*yBnumb[iB]+larmR_b[nPoint])/(yBnumb[iB]+1) # averaging inside bin iB
yBnumb[iB] += 1
searchBflag=1
break
if searchBflag == 0:
yB[nBins-1]=(yB[nBins-1]*yBnumb[nBins-1]+larmR_b[nPoint])/(yBnumb[nBins-1]+1) # averaging inside bin iB
yBnumb[nBins-1] += 1
if zApprch1dpNumb[iA,iB] == 0:
zApprch1dpx[iA,iB]=dpxApprch_1[nPoint]
zApprch1dpy[iA,iB]=dpyApprch_1[nPoint]
zApprch1dpz[iA,iB]=dpzApprch_1[nPoint]
else:
zApprch1dpx[iA,iB]= \
(zApprch1dpx[iA,iB]*zApprch1dpNumb[iA,iB]+dpxApprch_1[nPoint])/(zApprch1dpNumb[iA,iB]+1) # averaging inside rectangle iA,iB
zApprch1dpy[iA,iB]= \
(zApprch1dpy[iA,iB]*zApprch1dpNumb[iA,iB]+dpyApprch_1[nPoint])/(zApprch1dpNumb[iA,iB]+1) # averaging inside rectangle iA,iB
zApprch1dpz[iA,iB]= \
(zApprch1dpz[iA,iB]*zApprch1dpNumb[iA,iB]+dpzApprch_1[nPoint])/(zApprch1dpNumb[iA,iB]+1) # averaging inside rectangle iA,iB
zApprch1dpNumb[iA,iB] += 1
# Some checkings:
sumAnumb=0
sumBnumb=0
sumCnumb=0
for iA in range(nBins):
sumAnumb += xAnumb[iA]
sumBnumb += yBnumb[iA]
for iB in range(nBins):
sumCnumb += zApprch1dpNumb[iA,iB]
# print 'iA=%d, iB=%d: xA=%f (%d), xB=%f (%d), zApprch1dpx=%e' % \
# (iA,iB,xA[iA],xAnumb[iA],yB[iB],yBnumb[iB],zApprch1dpx[iA,iB])
print 'sumA=%d, sumB=%d, sumC=%d; sumPoints=%d' % (sumAnumb,sumBnumb,sumCnumb,int(sumPoints))
###################################################
#
# Data processing of the second approach:
#: layout of arrays xA_2=uPot_enrgKin_2, yB_2=larmR_b_2 to nBins channels
# and arrays zApprch2dpx, zApprch2dpy, zApprch2dpz to (nBins x nBins) channels
#
###################################################
if runFlagApproach_2 == 1:
xA_2=np.zeros(nBins)
xAedges_2=np.zeros(nBins+1)
xAnumb_2=np.zeros(nBins)
xAstep=(maxUpot_enrgKin_2-minUpot_enrgKin_2)/nBins
for i in range(nBins+1):
xAedges_2[i]=minUpot_enrgKin_2+xAstep*i
yB_2=np.zeros(nBins)
yBedges_2=np.zeros(nBins+1)
yBnumb_2=np.zeros(nBins)
yBstep=(maxLarmR_b_2-minLarmR_b_2)/nBins
for i in range(nBins+1):
yBedges_2[i]=minLarmR_b_2+yBstep*i
zApprch2dpNumb=np.zeros((nBins,nBins))
zApprch2dpx=np.zeros((nBins,nBins))
zApprch2dpy=np.zeros((nBins,nBins))
zApprch2dpz=np.zeros((nBins,nBins))
for nPoint in range(int(sumPoints_2)):
for iA in range(nBins):
searchAflag=0
if (xAedges_2[iA] <= uPot_enrgKin_2[nPoint] < xAedges_2[iA+1]):
if xAnumb_2[iA] == 0:
xA_2[iA]=uPot_enrgKin_2[nPoint] # log10(Upot/Ekin)
else:
xA_2[iA]=(xA_2[iA]*xAnumb_2[iA]+uPot_enrgKin_2[nPoint])/(xAnumb_2[iA]+1) # averaging inside bin iA_2
xAnumb_2[iA] += 1
searchAflag=1
break
if searchAflag == 0:
xA_2[nBins-1]=(xA_2[nBins-1]*xAnumb_2[nBins-1]+uPot_enrgKin_2[nPoint])/(xAnumb_2[nBins-1]+1) # averaging inside bin iA_2
xAnumb_2[nBins-1] += 1
for iB in range(nBins):
searchBflag=0
if (yBedges_2[iB] <= larmR_b_2[nPoint] < yBedges_2[iB+1]):
if yBnumb_2[iB] == 0:
yB_2[iB]=larmR_b_2[nPoint] # log10(Rlarm/b)
else:
yB_2[iB]=(yB_2[iB]*yBnumb_2[iB]+larmR_b_2[nPoint])/(yBnumb_2[iB]+1) # averaging inside bin iB_2
yBnumb_2[iB] += 1
searchBflag=1
break
if searchBflag == 0:
yB_2[nBins-1]=(yB_2[nBins-1]*yBnumb_2[nBins-1]+larmR_b_2[nPoint])/(yBnumb_2[nBins-1]+1) # averaging inside bin iB_2
yBnumb_2[nBins-1] += 1
if zApprch2dpNumb[iA,iB] == 0:
zApprch2dpx[iA,iB]=dpxApprch_2[nPoint]
zApprch2dpy[iA,iB]=dpyApprch_2[nPoint]
zApprch2dpz[iA,iB]=dpzApprch_2[nPoint]
else:
zApprch2dpx[iA,iB]= \
(zApprch2dpx[iA,iB]*zApprch2dpNumb[iA,iB]+dpxApprch_2[nPoint])/(zApprch2dpNumb[iA,iB]+1) # averaging inside rectangle iA,iB
zApprch2dpy[iA,iB]= \
(zApprch2dpy[iA,iB]*zApprch2dpNumb[iA,iB]+dpyApprch_2[nPoint])/(zApprch2dpNumb[iA,iB]+1) # averaging inside rectangle iA,iB
zApprch2dpz[iA,iB]= \
(zApprch2dpz[iA,iB]*zApprch2dpNumb[iA,iB]+dpzApprch_2[nPoint])/(zApprch2dpNumb[iA,iB]+1) # averaging inside rectangle iA,iB
zApprch2dpNumb[iA,iB] += 1
# Some checkings:
sumAnumb_2=0
sumBnumb_2=0
sumCnumb_2=0
for iA in range(nBins):
sumAnumb_2 += xAnumb_2[iA]
sumBnumb_2 += yBnumb_2[iA]
for iB in range(nBins):
sumCnumb_2 += zApprch2dpNumb[iA,iB]
# print 'iA=%d, iB=%d: xA=%f (%d), xB=%f (%d), zApprch1dpx=%e' % \
# (iA,iB,xA_2[iA],xAnumb_2[iA],yB_2[iB],yBnumb_2[iB],zApprch2dpx[iA,iB])
print 'sumA_2=%d, sumB_2=%d, sumC_2=%d; sumPoints_2=%d' % (sumAnumb_2,sumBnumb_2,sumCnumb_2,int(sumPoints_2))
###################################################
#
# Data processing of the third approach:
#: layout of arrays xA_3=uPot_enrgKin_3, yB_3=larmR_b_3 to nBins channels
# and arrays zApprch3dpx, zApprch3dpy, zApprch3dpz to (nBins x nBins) channels
#
###################################################
if runFlagApproach_3 == 1:
xA_3=np.zeros(nBins)
xAedges_3=np.zeros(nBins+1)
xAnumb_3=np.zeros(nBins)
xAstep=(maxUpot_enrgKin_3-minUpot_enrgKin_3)/nBins
for i in range(nBins+1):
xAedges_3[i]=minUpot_enrgKin_3+xAstep*i
yB_3=np.zeros(nBins)
yBedges_3=np.zeros(nBins+1)
yBnumb_3=np.zeros(nBins)
yBstep=(maxLarmR_b_3-minLarmR_b_3)/nBins
for i in range(nBins+1):
yBedges_3[i]=minLarmR_b_3+yBstep*i
zApprch3dpNumb=np.zeros((nBins,nBins))
zApprch3dpx=np.zeros((nBins,nBins))
zApprch3dpy=np.zeros((nBins,nBins))
zApprch3dpz=np.zeros((nBins,nBins))
for nPoint in range(int(sumPoints_3)):
for iA in range(nBins):
searchAflag=0
if (xAedges_3[iA] <= uPot_enrgKin_3[nPoint] < xAedges_3[iA+1]):
if xAnumb_3[iA] == 0:
xA_3[iA]=uPot_enrgKin_3[nPoint] # log10(Upot/Ekin)
else:
xA_3[iA]=(xA_3[iA]*xAnumb_3[iA]+uPot_enrgKin_3[nPoint])/(xAnumb_3[iA]+1) # averaging inside bin iA_3
xAnumb_3[iA] += 1
searchAflag=1
break
if searchAflag == 0:
xA_3[nBins-1]=(xA_3[nBins-1]*xAnumb_3[nBins-1]+uPot_enrgKin_3[nPoint])/(xAnumb_3[nBins-1]+1) # averaging inside bin iA_3
xAnumb_3[nBins-1] += 1
for iB in range(nBins):
searchBflag=0
if (yBedges_3[iB] <= larmR_b_3[nPoint] < yBedges_3[iB+1]):
if yBnumb_3[iB] == 0:
yB_3[iB]=larmR_b_3[nPoint] # log10(Rlarm/b)
else:
yB_3[iB]=(yB_3[iB]*yBnumb_3[iB]+larmR_b_3[nPoint])/(yBnumb_3[iB]+1) # averaging inside bin iB_3
yBnumb_3[iB] += 1
searchBflag=1
break
if searchBflag == 0:
yB_3[nBins-1]=(yB_3[nBins-1]*yBnumb_3[nBins-1]+larmR_b_3[nPoint])/(yBnumb_3[nBins-1]+1) # averaging inside bin iB_3
yBnumb_3[nBins-1] += 1
if zApprch3dpNumb[iA,iB] == 0:
zApprch3dpx[iA,iB]=dpxApprch_3[nPoint]
zApprch3dpy[iA,iB]=dpyApprch_3[nPoint]
zApprch3dpz[iA,iB]=dpzApprch_3[nPoint]
else:
zApprch3dpx[iA,iB]= \
(zApprch3dpx[iA,iB]*zApprch3dpNumb[iA,iB]+dpxApprch_3[nPoint])/(zApprch3dpNumb[iA,iB]+1) # averaging inside rectangle iA,iB
zApprch3dpy[iA,iB]= \
(zApprch3dpy[iA,iB]*zApprch3dpNumb[iA,iB]+dpyApprch_3[nPoint])/(zApprch3dpNumb[iA,iB]+1) # averaging inside rectangle iA,iB
zApprch3dpz[iA,iB]= \
(zApprch3dpz[iA,iB]*zApprch3dpNumb[iA,iB]+dpzApprch_3[nPoint])/(zApprch3dpNumb[iA,iB]+1) # averaging inside rectangle iA,iB
# print 'nPoint=%d: dpzApprch_3(%d,%d)=%e --> zApprch3dpz=%e' % (nPoint,iA,iB,dpzApprch_3[nPoint],zApprch3dpz[iA,iB])
zApprch3dpNumb[iA,iB] += 1
# Some checkings:
sumAnumb_3=0
sumBnumb_3=0
sumCnumb_3=0
for iA in range(nBins):
sumAnumb_3 += xAnumb_3[iA]
sumBnumb_3 += yBnumb_3[iA]
for iB in range(nBins):
sumCnumb_3 += zApprch3dpNumb[iA,iB]
# print 'iA=%d, iB=%d: xA=%f (%d), xB=%f (%d), zApprch1dpx=%e' % \
# (iA,iB,xA_3[iA],xAnumb_3[iA],yB_3[iB],yBnumb_3[iB],zApprch3dpx[iA,iB])
print 'sumA_3=%d, sumB_3=%d, sumC_3=%d; sumPoints_3=%d' % (sumAnumb_3,sumBnumb_3,sumCnumb_3,int(sumPoints_3))
timeEnd=os.times()
runTime=1.e+6*(float(timeEnd[0])-float(timeStart[0])) # CPU time , mks
print 'runTime(mksec) = %e' % runTime
#
# Checking of the first trajectories:
#
turns=10 # Number of larmor turns for drawing
pointsTurns=turns*stepsNumberOnGyro # Number of points for drawing
pointsStartLarmor=turns*stepsNumberOnGyro # Number of points for drawing
lengthArrowElc=4
pBegArrw=pointsTurns/2
pEndArrw=pointsTurns/2+50
# Plot everything about dp transf. if = 1, orherwise don't plot
if runFlagApproach_1 == 1 and plotFlagTracks == 1:
pointsEndLarmor=int(larmorNumber[0])*stepsNumberOnGyro # Number of points for drawing
fig10=plt.figure(10)
ax10=fig10.gca(projection='3d')
ax10.plot(1.e+4*prtclCoor[0,0:pointsStartLarmor],1.e+4*prtclCoor[2,0:pointsStartLarmor], \
1.e+4*prtclCoor[4,0:pointsStartLarmor],'-r',linewidth=2)
ax10.plot(1.e+4*prtclCoor[0,0:lengthArrowElc],1.e+4*prtclCoor[2,0:lengthArrowElc], \
1.e+4*prtclCoor[4,0:lengthArrowElc],'-b',linewidth=2)
ax10.plot(1.e+4*prtclCoor[0,pointsStartLarmor-lengthArrowElc:pointsStartLarmor], \
1.e+4*prtclCoor[2,pointsStartLarmor-lengthArrowElc:pointsStartLarmor], \
1.e+4*prtclCoor[4,pointsStartLarmor-lengthArrowElc:pointsStartLarmor],'-b',linewidth=2)
plt.xlabel('x, $\mu m$',color='m',fontsize=16)
plt.ylabel('y, $\mu m$',color='m',fontsize=16)
ax10.set_zlabel('z, $\mu m$',color='m',fontsize=16)
plt.title( \
('Approach-1: First Electron Trajectory (Start; $N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' \
% (larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
fig15=plt.figure(15)
ax15=fig15.gca(projection='3d')
ax15.plot(1.e+7*prtclCoor[6,0:pointsStartLarmor],1.e+7*prtclCoor[8,0:pointsStartLarmor], \
1.e+7*prtclCoor[10,0:pointsStartLarmor],'-b',linewidth=2)
ax15.plot(1.e+7*prtclCoor[6,pBegArrw:pEndArrw],1.e+7*prtclCoor[8,pBegArrw:pEndArrw], \
1.e+7*prtclCoor[10,pBegArrw:pEndArrw],'-b',linewidth=4)
# ax15.plot([arrwBegxIon,arrwEndxIon],[arrwBegyIon,arrwEndyIon],[arrwBegzIon,arrwEndzIon],color='r',alpha=0.8,lw=2)
plt.xlabel('x, $nm$',color='m',fontsize=16)
plt.ylabel('y, $nm$',color='m',fontsize=16)
ax15.set_zlabel('z, $nm$',color='m',fontsize=16)
plt.title('Approach-1: First Ion Trajectory (Start)',color='m',fontsize=16)
pBeg=pointsEndLarmor-pointsTurns
fig20=plt.figure(20)
ax20=fig20.gca(projection='3d')
ax20.plot(1.e+4*prtclCoor[0,pBeg:pointsEndLarmor], \
1.e+4*prtclCoor[2,pBeg:pointsEndLarmor], \
1.e+4*prtclCoor[4,pBeg:pointsEndLarmor],'-r',linewidth=2)
ax20.plot(1.e+4*prtclCoor[0,pointsEndLarmor-lengthArrowElc:pointsEndLarmor], \
1.e+4*prtclCoor[2,pointsEndLarmor-lengthArrowElc:pointsEndLarmor], \
1.e+4*prtclCoor[4,pointsEndLarmor-lengthArrowElc:pointsEndLarmor],'-b',linewidth=2)
ax20.plot(1.e+4*prtclCoor[0,pBeg:pBeg+lengthArrowElc], 1.e+4*prtclCoor[2,pBeg:pBeg+lengthArrowElc], \
1.e+4*prtclCoor[4,pBeg:pBeg+lengthArrowElc],'-b',linewidth=2)
plt.xlabel('x, $\mu m$',color='m',fontsize=16)
plt.ylabel('y, $\mu m$',color='m',fontsize=16)
ax20.set_zlabel('z, $\mu m$',color='m',fontsize=16)
plt.title( \
('Approach-1: First Electron Trajectory (End; $N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' \
% (larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
pEndArrw=pointsEndLarmor-pointsTurns/2
pBegArrw=pEndArrw-50
fig25=plt.figure(25)
ax25=fig25.gca(projection='3d')
ax25.plot(1.e+7*prtclCoor[6,pBeg:pointsEndLarmor],1.e+7*prtclCoor[8,pBeg:pointsEndLarmor], \
1.e+7*prtclCoor[10,pBeg:pointsEndLarmor],'-b',linewidth=2)
ax25.plot(1.e+7*prtclCoor[6,pBegArrw:pEndArrw],1.e+7*prtclCoor[8,pBegArrw:pEndArrw], \
1.e+7*prtclCoor[10,pBegArrw:pEndArrw],'-b',linewidth=4)
plt.xlabel('x, $nm$',color='m',fontsize=16)
plt.ylabel('y, $nm$',color='m',fontsize=16)
ax25.set_zlabel('z, $nm$',color='m',fontsize=16)
plt.title('Approach-1: First Ion Trajectory (End)',color='m',fontsize=16)
plt.figure(30)
plt.plot(range(int(pointsEndLarmor)),1.e4*prtclCoor[4,0:pointsEndLarmor],'-r',linewidth=2)
plt.xlabel('Points',color='m',fontsize=16)
plt.ylabel('z, $\mu$m',color='m',fontsize=16)
plt.title(('Approach-1: First Electron Trajectory ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
plt.grid(True)
plt.figure(40)
plt.plot(1.e4*prtclCoor[4,0:pointsEndLarmor],1.e4*prtclCoor[12,0:pointsEndLarmor],'-r',linewidth=2)
plt.xlabel('z, $\mu$m',color='m',fontsize=16)
plt.ylabel('Distance Between Particles, $\mu$m',color='m',fontsize=16)
plt.title(('Approach-1: First Electron Trajectory ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
plt.grid(True)
pointsDraw=int(pointTrack[trackNumbMaxAbsDpxApprch]) # Number of points for drawing
plt.figure(1030)
plt.plot(range(int(pointsDraw)),1.e4*prtclCoorMaxAbsDpx[4,0:pointsDraw],'-r',linewidth=2)
plt.xlabel('Points',color='m',fontsize=16)
plt.ylabel('z, $\mu$m',color='m',fontsize=16)
plt.title(('Approach-1: First Electron Track %d ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(trackNumbMaxAbsDpxApprch,larmorNumber[trackNumbMaxAbsDpxApprch],1.e+4*rhoMaxAbsDpxTurn, \
1.e+4*rhoLarmorMaxAbsDpxTurn)),color='m',fontsize=16)
plt.grid(True)
plt.figure(1040)
plt.plot(1.e4*prtclCoorMaxAbsDpx[4,0:pointsDraw],1.e4*prtclCoorMaxAbsDpx[12,0:pointsDraw],'.r',linewidth=2)
plt.xlabel('z, $\mu$m',color='m',fontsize=16)
plt.ylabel('Distance Between Particles, $\mu$m',color='m',fontsize=16)
plt.title(('Approach-1: Electron Track %d ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(trackNumbMaxAbsDpxApprch,larmorNumber[trackNumbMaxAbsDpxApprch],1.e+4*rhoMaxAbsDpxTurn, \
1.e+4*rhoLarmorMaxAbsDpxTurn)), color='m',fontsize=16)
plt.grid(True)
plt.figure(55)
plt.plot(uPot_enrgKin,larmR_b,'.r')
plt.xlim([minUpot_enrgKin_1-.1,maxUpot_enrgKin_1+.1])
plt.ylim([minLarmR_b_1-.1,maxLarmR_b_1+.1])
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
plt.title(('Approach-1: Map for Transfered Momenta Calculations\nTracks: %d' % lastTrackNumber), color='m',fontsize=16)
plt.grid(True)
if runFlagApproach_2 == 1 and plotFlagTracks == 1:
pointsGCtot_2=int(pointTrack_2[0])
print 'pointsGCtot_2=%d' % pointsGCtot_2
turns_2=10*turns
pBegArrw_2=pointsGCtot_2-turns_2/2
pEndArrw_2=pBegArrw_2+25
fig225=plt.figure(225)
ax225=fig225.gca(projection='3d')
ax225.plot(1.e+7*prtclCoor_2[6,pointsGCtot_2-turns_2:pointsGCtot_2],1.e+7*prtclCoor_2[8,pointsGCtot_2-turns_2:pointsGCtot_2], \
1.e+7*prtclCoor_2[10,pointsGCtot_2-turns_2:pointsGCtot_2],'-b',linewidth=2)
ax225.plot(1.e+7*prtclCoor_2[6,pBegArrw_2:pEndArrw_2],1.e+7*prtclCoor_2[8,pBegArrw_2:pEndArrw_2], \
1.e+7*prtclCoor_2[10,pBegArrw_2:pEndArrw_2],'-b',linewidth=4)
plt.xlabel('x, $nm$',color='m',fontsize=16)
plt.ylabel('y, $nm$',color='m',fontsize=16)
ax225.set_zlabel('z, $nm$',color='m',fontsize=16)
plt.title('Approach-2: First Ion Trajectory (End)',color='m',fontsize=16)
if runFlagApproach_1 == 1 and runFlagApproach_2 == 1 and plotFlagTracks == 1:
fig325=plt.figure(325)
plt.plot(1.e+4*prtclCoor_2[4,0:b_2LenFirstTrack],1.e+4*diff_b2[0:b_2LenFirstTrack],'.r',linewidth=2)
plt.xlabel('z, $\mu m$',color='m',fontsize=16)
plt.ylabel('$\Delta b=b_{Apprch-1}-b_{Apprch-2}$, $\mu m$',color='m',fontsize=16)
plt.title('First Trajectory: $\Delta b$ (Difference for Distances $b$ between Particles)',color='m',fontsize=16)
plt.xlim([1.e+4*prtclCoor_2[4,0]-50,1.e+4*prtclCoor_2[4,b_2LenFirstTrack-1]+50])
plt.ylim([-.5,.5])
plt.grid(True)
if plotFlagWorkingArrays == 1:
fig1000=plt.figure(1000)
plt.plot(range(nB),1.e+4*halfLintr[0,:],'-xr',linewidth=2)
plt.plot(range(nB),1.e+4*halfLintr[1,:],'-xb',linewidth=2)
plt.plot(range(nB),1.e+4*halfLintr[2,:],'-xm',linewidth=2)
plt.plot(range(nB),1.e+4*halfLintr[3,:],'-xg',linewidth=2)
plt.plot(range(nB),1.e+4*halfLintr[4,:],'-xk',linewidth=2)
# plt.title(('Approach-1: TransferedMomentum $dP_x$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{24}$ $g \cdot cm/sec$)' % \
# (lastTrackNumber,dpxDataMax)), color='m',fontsize=16)
plt.xlabel('$iB$',color='m',fontsize=16)
plt.ylabel('Half Length of Trajectory, $\mu$m',color='m',fontsize=16)
plt.legend(['$iA=0$','$iA=1$','$iA=2$','$iA=3$','$iA=4$'],loc='upper right',fontsize=16)
plt.grid(True)
#
# Normalization of the arrays zApprch1dpx,zApprch1dpy,zApprch1dpz
# to improve visual presentation of the results:
#
if runFlagApproach_1 == 1 and plotFlagDpTransf == 1:
visPrezApprch1dpx=np.zeros((nBins,nBins))
visPrezApprch1dpy=np.zeros((nBins,nBins))
visPrezApprch1dpz=np.zeros((nBins,nBins))
dpxDataMax=-1.e24 # maximum for array of zApprch1dpx
indxAdpxDataMax=0 # index A of the maximum for array of zApprch1dpx
indxBdpxDataMax=0 # index B of the maximum for array of zApprch1dpx
dpyDataMax=-1.e24 # maximum for array of zApprch1dpx
indxAdpyDataMax=0 # index A of the maximum for array of zApprch1dpx
indxBdpyDataMax=0 # index B of the maximum for array of zApprch1dpx
dpzDataMax=-1.e24 # maximum for array of zApprch1dpx
indxAdpzDataMax=0 # index A of the maximum for array of zApprch1dpx
indxBdpzDataMax=0 # index B of the maximum for array of zApprch1dpx
normFactor=1.e24
for iA in range(nBins):
for iB in range(nBins):
visPrezApprch1dpx[iA,iB]=normFactor*zApprch1dpx[iA,iB]
visPrezApprch1dpy[iA,iB]=normFactor*zApprch1dpy[iA,iB]
visPrezApprch1dpz[iA,iB]=normFactor*zApprch1dpz[iA,iB]
if dpxDataMax < abs(normFactor*zApprch1dpx[iA,iB]):
dpxDataMax=abs(normFactor*zApprch1dpx[iA,iB])
indxAdpxDataMax=iA
indxBdpxDataMax=iB
if dpyDataMax < abs(normFactor*zApprch1dpy[iA,iB]):
dpyDataMax=abs(normFactor*zApprch1dpy[iA,iB])
indxAdpyDataMax=iA
indxBdpyDataMax=iB
if dpzDataMax < abs(normFactor*zApprch1dpz[iA,iB]):
dpzDataMax=abs(normFactor*zApprch1dpz[iA,iB])
indxAdpzDataMax=iA
indxBdpzDataMax=iB
print '|Maximum| (approach-1): dpx=%e, dpy=%e, dpz=%e' % (dpxDataMax,dpyDataMax,dpzDataMax)
X,Y=np.meshgrid(xA,yB)
fig70=plt.figure(70)
ax70=fig70.gca(projection='3d')
# surf=ax70.plot_surface(X,Y,visPrezApprch1dpx,cmap=cm.coolwarm,linewidth=0,antialiased=False)
surf=ax70.plot_surface(X,Y,visPrezApprch1dpx,cmap=cm.jet,linewidth=0,antialiased=False)
plt.title(('Approach-1: Transfered Momentum $dP_x$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{24}$ $g \cdot cm/sec$)' % \
(lastTrackNumber,dpxDataMax)), color='m',fontsize=16)
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
ax70.set_zlabel('$dP_x \cdot 10^{-24}$; $g \cdot cm/sec$',color='m',fontsize=16)
cb = fig70.colorbar(surf)
plt.grid(True)
fig75=plt.figure(75)
ax=fig75.add_subplot(111) # for contours plotting
# mapDpx=ax.contourf(X,Y,zApprch1dpx)
mapDpx=ax.contourf(X,Y,visPrezApprch1dpx)
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
plt.title( \
('Approach-1: Transfered Momentum $dP_x$ $(\cdot 10^{-24}$; $g \cdot cm/sec)$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{-24}$)' % \
(lastTrackNumber,dpxDataMax)), color='m',fontsize=14)
fig75.colorbar(mapDpx)
fig80=plt.figure(80)
ax80=fig80.gca(projection='3d')
# surf=ax80.plot_surface(X,Y,visPrezApprch1dpx,cmap=cm.coolwarm,linewidth=0,antialiased=False)
surf=ax80.plot_surface(X,Y,visPrezApprch1dpy,cmap=cm.jet,linewidth=0,antialiased=False)
plt.title(('Approach-1: Transfered Momentum $dP_y$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{24}$ $g \cdot cm/sec$)' % \
(lastTrackNumber,dpyDataMax)), color='m',fontsize=16)
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
ax80.set_zlabel('$dP_y \cdot 10^{-24}$; $g \cdot cm/sec$',color='m',fontsize=16)
cb = fig80.colorbar(surf)
plt.grid(True)
fig85=plt.figure(85)
ax=fig85.add_subplot(111) # for contours plotting
# mapDpx=ax.contourf(X,Y,zApprch1dpx)
mapDpx=ax.contourf(X,Y,visPrezApprch1dpy)
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
plt.title( \
('Approach-1: Transfered Momentum $dP_y$ $(\cdot 10^{-24}$; $g \cdot cm/sec)$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{-24}$)' % \
(lastTrackNumber,dpyDataMax)), color='m',fontsize=14)
fig85.colorbar(mapDpx)
fig90=plt.figure(90)
ax90=fig90.gca(projection='3d')
# surf=ax90.plot_surface(X,Y,visPrezApprch1dpx,cmap=cm.coolwarm,linewidth=0,antialiased=False)
surf=ax90.plot_surface(X,Y,visPrezApprch1dpz,cmap=cm.jet,linewidth=0,antialiased=False)
plt.title( \
('Approach-1: Transfered Momentum $dP_z$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{24}$ $g \cdot cm/sec$)' % \
(lastTrackNumber,dpzDataMax)), color='m',fontsize=16)
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
ax90.set_zlabel('$dP_z \cdot 10^{-24}$; $g \cdot cm/sec$',color='m',fontsize=16)
cb = fig90.colorbar(surf)
plt.grid(True)
fig95=plt.figure(95)
ax=fig95.add_subplot(111) # for contours plotting
# mapDpx=ax.contourf(X,Y,zApprch1dpx)
mapDpx=ax.contourf(X,Y,visPrezApprch1dpz)
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
plt.title( \
('Approach-1: Transfered Momentum $dP_z$ $(\cdot 10^{-24}$; $g \cdot cm/sec)$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{-24}$)' % \
(lastTrackNumber,dpzDataMax)), color='m',fontsize=14)
fig95.colorbar(mapDpx)
if runFlagApproach_2 == 1 and plotFlagTracks == 1:
pointsGCturns=turns # Number of points for drawing ("GC")
pointsDraw=int(pointTrack_2[trackNumbMaxAbsDpxApprch_2]) # Number of points for drawing
plt.figure(1130)
plt.plot(range(int(pointsDraw)),1.e4*prtclCoorMaxAbsDpx_2[4,0:pointsDraw],'-xr',linewidth=2)
plt.xlabel('Points',color='m',fontsize=16)
plt.ylabel('z, $\mu$m',color='m',fontsize=16)
plt.title(('Approach-2: First Electron Track %d ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(trackNumbMaxAbsDpxApprch_2,larmorNumber[trackNumbMaxAbsDpxApprch_2],1.e+4*rhoMaxAbsDpxTurn_2, \
1.e+4*rhoLarmorMaxAbsDpxTurn_2)),color='m',fontsize=16)
plt.grid(True)
plt.figure(1140)
plt.plot(1.e4*prtclCoorMaxAbsDpx_2[4,0:pointsDraw],1.e4*prtclCoorMaxAbsDpx_2[12,0:pointsDraw],'-xr',linewidth=2)
plt.xlabel('z, $\mu$m',color='m',fontsize=16)
plt.ylabel('Distance Between Particles, $\mu$m',color='m',fontsize=16)
plt.title(('Approach-2: Track %d ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(trackNumbMaxAbsDpxApprch_2,larmorNumber[trackNumbMaxAbsDpxApprch_2],\
1.e+4*rhoMaxAbsDpxTurn_2,1.e+4*rhoLarmorMaxAbsDpxTurn_2)), color='m',fontsize=16)
plt.grid(True)
pBegArrw=pointsGCturns/2-1
if runFlagApproach_1 == 1 and runFlagApproach_2 == 1 and plotFlagTracks == 1:
fig110=plt.figure(110)
ax110=fig110.gca(projection='3d')
ax110.plot(1.e+4*prtclCoor[0,0:pointsStartLarmor],1.e+4*prtclCoor[2,0:pointsStartLarmor], \
1.e+4*prtclCoor[4,0:pointsStartLarmor],'-r',linewidth=2)
ax110.plot(1.e+4*prtclCoor[0,0:lengthArrowElc],1.e+4*prtclCoor[2,0:lengthArrowElc], \
1.e+4*prtclCoor[4,0:lengthArrowElc],'-b',linewidth=2)
ax110.plot(1.e+4*prtclCoor[0,pointsStartLarmor-lengthArrowElc:pointsStartLarmor], \
1.e+4*prtclCoor[2,pointsStartLarmor-lengthArrowElc:pointsStartLarmor], \
1.e+4*prtclCoor[4,pointsStartLarmor-lengthArrowElc:pointsStartLarmor],'-b',linewidth=2)
ax110.plot(1.e+4*prtclCoor_2[0,0:pointsGCturns],1.e+7*prtclCoor_2[2,0:pointsGCturns], \
1.e+4*prtclCoor_2[4,0:pointsGCturns],'-b',linewidth=2)
ax110.plot(1.e+4*prtclCoor_2[0,pBegArrw:pBegArrw+3],1.e+4*prtclCoor_2[2,pBegArrw:pBegArrw+3], \
1.e+4*prtclCoor_2[4,pBegArrw:pBegArrw+3],'-b',linewidth=4)
plt.xlabel('x, $\mu m$',color='m',fontsize=16)
plt.ylabel('y, ($\mu m$',color='m',fontsize=16)
ax110.set_zlabel('z, $\mu m$',color='m',fontsize=16)
plt.title(('First Electron Trajectory (Start; $N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' \
% (larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
ax110.text(0.,0.,-5425.,'Blue is Trajectory in the System of "Guiding Center"',color='b',fontsize=16)
# for m in range(pointsEndLarmor-50,pointsEndLarmor):
# print 'Electron: z(%d)=%e' % (m,1.e+4*prtclCoor[4,m])
# for m in range(pointsGCtot_2-turns,pointsGCtot_2):
# print 'Electron_gc: z(%d)=%e' % (m,1.e+4*prtclCoor_2[4,m])
print 'Last point of the first track: z(%d)=%e mkm, z_gc(%d)=%e mkm' % \
(pointsEndLarmor,1.e+4*prtclCoor[4,pointsEndLarmor-1],pointsGCtot_2,1.e+4*prtclCoor_2[4,pointsGCtot_2-1])
fig120=plt.figure(120)
ax120=fig120.gca(projection='3d')
ax120.plot(1.e+4*prtclCoor[0,pBeg:pointsEndLarmor], \
1.e+4*prtclCoor[2,pBeg:pointsEndLarmor], \
1.e+4*prtclCoor[4,pBeg:pointsEndLarmor],'-r',linewidth=2)
ax120.plot(1.e+4*prtclCoor[0,pointsEndLarmor-lengthArrowElc:pointsEndLarmor], \
1.e+4*prtclCoor[2,pointsEndLarmor-lengthArrowElc:pointsEndLarmor], \
1.e+4*prtclCoor[4,pointsEndLarmor-lengthArrowElc:pointsEndLarmor],'-r',linewidth=4)
ax120.plot(1.e+4*prtclCoor[0,pBeg:pBeg+lengthArrowElc], 1.e+4*prtclCoor[2,pBeg:pBeg+lengthArrowElc], \
1.e+4*prtclCoor[4,pBeg:pBeg+lengthArrowElc],'-r',linewidth=4)
ax120.plot(1.e+4*prtclCoor_2[0,pointsGCtot_2-turns:pointsGCtot_2],1.e+4*prtclCoor_2[2,pointsGCtot_2-turns:pointsGCtot_2], \
1.e+4*prtclCoor_2[4,pointsGCtot_2-turns:pointsGCtot_2],'-b',linewidth=2)
ax120.plot(1.e+4*prtclCoor_2[0,pointsGCtot_2-6:pointsGCtot_2-3],1.e+4*prtclCoor_2[2,pointsGCtot_2-6:pointsGCtot_2-3], \
1.e+4*prtclCoor_2[4,pointsGCtot_2-6:pointsGCtot_2-3],'-b',linewidth=4)
plt.xlabel('x, $\mu m$',color='m',fontsize=16)
plt.ylabel('y, $\mu m$',color='m',fontsize=16)
ax120.set_zlabel('z, $\mu m$',color='m',fontsize=16)
plt.title(('First Electron Trajectory (End; $N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
ax120.text(0.,0.,25.,'Blue is Trajectory in the System of "Guiding Center"',color='b',fontsize=16)
pEndArrw=pointsEndLarmor-pointsTurns/2
pBegArrw=pEndArrw-50
# print 'pointsGCtot_2=%d, turns=%d' % (pointsGCtot_2,turns)
# for m in range(pointsGCtot_2-turns,pointsGCtot_2):
# print 'Point %d: x=%e, y=%e, z=%e' % (m,1.e+7*prtclCoor_2[6,m],1.e+7*prtclCoor_2[8,m],1.e+7*prtclCoor_2[10,m])
fig125=plt.figure(125)
ax125=fig125.gca(projection='3d')
ax125.plot(1.e+7*prtclCoor[6,pBeg:pointsEndLarmor],1.e+7*prtclCoor[8,pBeg:pointsEndLarmor], \
1.e+7*prtclCoor[10,pBeg:pointsEndLarmor],'-r',linewidth=2)
ax125.plot(1.e+7*prtclCoor[6,pBegArrw:pEndArrw],1.e+7*prtclCoor[8,pBegArrw:pEndArrw], \
1.e+7*prtclCoor[10,pBegArrw:pEndArrw],'-r',linewidth=4)
ax125.plot(1.e+7*prtclCoor_2[6,pointsGCtot_2-turns:pointsGCtot_2],1.e+7*prtclCoor_2[8,pointsGCtot_2-turns:pointsGCtot_2], \
1.e+7*prtclCoor_2[10,pointsGCtot_2-turns:pointsGCtot_2],'-b',linewidth=2)
ax125.plot(1.e+7*prtclCoor_2[6,pointsGCtot_2-turns+3:pointsGCtot_2-3],1.e+7*prtclCoor_2[8,pointsGCtot_2+3-turns:pointsGCtot_2-3], \
1.e+7*prtclCoor_2[10,pointsGCtot_2-turns+3:pointsGCtot_2-3],'-b',linewidth=4)
plt.xlabel('x, $nm$',color='m',fontsize=16)
plt.ylabel('y, $nm$',color='m',fontsize=16)
ax125.set_zlabel('z, $nm$',color='m',fontsize=16)
plt.title('Approach-2: First Ion Trajectory (End)',color='m',fontsize=16)
if runFlagApproach_2 == 1:
pointCoor_2=np.zeros(pointsGCtot_2)
xCoor_2=np.zeros(pointsGCtot_2)
yCoor_2=np.zeros(pointsGCtot_2)
zCoor_2=np.zeros(pointsGCtot_2)
stepNzCoor=50
k=0
for m in range(0,pointsGCtot_2,stepNzCoor):
pointCoor_2[k]=k*stepNzCoor*stepsNumberOnGyro
xCoor_2[k]=1.e4*prtclCoor_2[0,m] # mkm
yCoor_2[k]=1.e4*prtclCoor_2[2,m] # mkm
zCoor_2[k]=1.e4*prtclCoor_2[4,m] # mkm
k += 1
NzCoor_2=k
if runFlagApproach_3 == 1:
pointsGCtot_3=int(pointTrack_3[0])
pointCoor_3=np.zeros(pointsGCtot_3)
xCoor_3=np.zeros(pointsGCtot_3)
yCoor_3=np.zeros(pointsGCtot_3)
zCoor_3=np.zeros(pointsGCtot_3)
stepNzCoor=50
k=0
for m in range(0,pointsGCtot_3,stepNzCoor):
pointCoor_3[k]=k*stepNzCoor*stepsNumberOnGyro
xCoor_3[k]=1.e4*prtclCoor_3[0,m] # mkm
yCoor_3[k]=1.e4*prtclCoor_3[2,m] # mkm
zCoor_3[k]=1.e4*prtclCoor_3[4,m] # mkm
k += 1
NzCoor_3=k
if runFlagApproach_3 == 1 and plotFlagTracks == 1:
pointsGCturns=turns # Number of points for drawing ("GC")
pointsDraw=int(pointTrack_3[0]) # Number of points for drawing
plt.figure(230)
plt.plot(range(int(pointsDraw)),1.e4*prtclCoor_3[4,0:pointsDraw],'-xr',linewidth=2)
plt.xlabel('Points',color='m',fontsize=16)
plt.ylabel('z, $\mu$m',color='m',fontsize=16)
plt.title(('Approach-3: First Electron Trajectory ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
plt.grid(True)
plt.figure(240)
plt.plot(1.e4*prtclCoor_3[4,0:pointsDraw],1.e4*prtclCoor_3[12,0:pointsDraw],'-xr',linewidth=2)
plt.xlabel('z, $\mu$m',color='m',fontsize=16)
plt.ylabel('Distance Between Particles, $\mu$m',color='m',fontsize=16)
plt.title(('Approach-3: First Electron Trajectory ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
plt.grid(True)
pointsDraw=int(pointTrack_3[trackNumbMaxAbsDpxApprch_3]) # Number of points for drawing
plt.figure(1230)
plt.plot(range(int(pointsDraw)),1.e4*prtclCoorMaxAbsDpx_3[4,0:pointsDraw],'-xr',linewidth=2)
plt.xlabel('Points',color='m',fontsize=16)
plt.ylabel('z, $\mu$m',color='m',fontsize=16)
plt.title(('Approach-3: Electron Track %d ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(trackNumbMaxAbsDpxApprch_3,larmorNumber[trackNumbMaxAbsDpxApprch_3],1.e+4*rhoMaxAbsDpxTurn_3, \
1.e+4*rhoLarmorMaxAbsDpxTurn_3)),color='m',fontsize=16)
plt.grid(True)
plt.figure(1240)
plt.plot(1.e4*prtclCoorMaxAbsDpx_3[4,0:pointsDraw],1.e4*prtclCoorMaxAbsDpx_3[12,0:pointsDraw],'-xr',linewidth=2)
plt.xlabel('z, $\mu$m',color='m',fontsize=16)
plt.ylabel('Distance Between Particles, $\mu$m',color='m',fontsize=16)
plt.title(('Approach-3: Track %d ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(trackNumbMaxAbsDpxApprch_3,larmorNumber[trackNumbMaxAbsDpxApprch_3],\
1.e+4*rhoMaxAbsDpxTurn_3,1.e+4*rhoLarmorMaxAbsDpxTurn_3)), color='m',fontsize=16)
plt.grid(True)
if runFlagApproach_1 == 1 and runFlagApproach_2 == 1 and plotFlagTracks == 1:
plt.figure(135)
plt.plot(range(int(pointsEndLarmor)),1.e4*prtclCoor[4,0:pointsEndLarmor],'-r',linewidth=2)
plt.plot(pointCoor_2[0:NzCoor_2],zCoor_2[0:NzCoor_2],'xb',markersize=10)
plt.xlim([-100,pointsEndLarmor+100])
plt.ylim([-5600,250])
plt.xlabel('Points',color='m',fontsize=16)
plt.ylabel('z, $\mu$m',color='m',fontsize=16)
plt.title(('First Electron Trajectory ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
plt.text(1000,-300,'Blue is Trajectory in the System of "Guiding Center"',color='b',fontsize=16)
plt.grid(True)
if runFlagApproach_1 == 1 and runFlagApproach_3 == 1 and plotFlagTracks == 1:
plt.figure(235)
plt.plot(range(int(pointsEndLarmor)),1.e4*prtclCoor[4,0:pointsEndLarmor],'-r',linewidth=2)
plt.plot(pointCoor_3[0:NzCoor_3],zCoor_3[0:NzCoor_3],'xb',markersize=10)
# plt.xlim([-100,pointsEndLarmor+100])
# plt.ylim([-5600,250])
plt.xlabel('Points',color='m',fontsize=16)
plt.ylabel('z, $\mu$m',color='m',fontsize=16)
plt.title(('First Electron Trajectory ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
plt.text(1000,-300,'Blue is Trajectory in the System of "Guiding Center"',color='b',fontsize=16)
plt.grid(True)
if runFlagApproach_1 == 1 and runFlagApproach_2 == 1 and runFlagApproach_3 == 1 and plotFlagTracks == 1:
pointsDraw_1=int(pointTrack[0]) # Number of points for drawing (approach-1)
pointsDraw_2=int(pointTrack_2[0]) # Number of points for drawing (approach-2)
pointsDraw_3=int(pointTrack_3[0]) # Number of points for drawing (approach-3)
# First trajectory:
plt.figure(2000)
plt.plot(range(pointsDraw_1),1.e4*prtclCoor[4,0:pointsDraw_1],'-r',linewidth=2)
plt.plot(pointCoor_2,zCoor_2,'xk',markersize=10)
plt.plot(pointCoor_3,zCoor_3,'xm',markersize=10)
plt.xlabel('Points',color='m',fontsize=16)
plt.ylabel('z, $\mu$m',color='m',fontsize=16)
plt.title(('First Electron Trajectory ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
plt.legend(['Approach-1','Approach-2','Approach-3'],loc='upper left',fontsize=16)
plt.grid(True)
pointsDraw_1max=int(pointTrack[trackNumbMaxAbsDpxApprch]) # Number of points for drawing
pointsDraw_2max=int(pointTrack_2[trackNumbMaxAbsDpxApprch_2]) # Number of points for drawing
pointsDraw_3max=int(pointTrack_3[trackNumbMaxAbsDpxApprch_3]) # Number of points for drawing
print 'pointsDraw_1max=%d, pointsDraw_2max=%d, pointsDraw_3max=%d' % (pointsDraw_1max,pointsDraw_2max,pointsDraw_3max)
pointCoor_2max=np.zeros(pointsDraw_2max)
for k in range(pointsDraw_2max):
pointCoor_2max[k]=stepsNumberOnGyro*k
pointCoor_3max=np.zeros(pointsDraw_3max)
for k in range(pointsDraw_3max):
pointCoor_3max[k]=stepsNumberOnGyro*k
plt.figure(2100)
plt.plot(range(pointsDraw_1max),1.e4*prtclCoorMaxAbsDpx[4,0:pointsDraw_1max],'-xr',linewidth=2)
plt.plot(pointCoor_2max,1.e4*prtclCoorMaxAbsDpx_2[4,0:pointsDraw_2max],'xk',markersize=10)
plt.plot(pointCoor_3max,1.e4*prtclCoorMaxAbsDpx_3[4,0:pointsDraw_3max],'xm',markersize=10)
plt.xlabel('Points',color='m',fontsize=16)
plt.ylabel('z, $\mu$m',color='m',fontsize=16)
plt.title(('Electron Track %d ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(trackNumbMaxAbsDpxApprch_3,larmorNumber[trackNumbMaxAbsDpxApprch_3],1.e+4*rhoMaxAbsDpxTurn_3, \
1.e+4*rhoLarmorMaxAbsDpxTurn_3)),color='m',fontsize=16)
plt.legend(['Approach-1','Approach-2','Approach-3'],loc='upper left',fontsize=16)
plt.grid(True)
fig3000=plt.figure(3000)
plt.plot(1.e+4*prtclCoor_2[4,0:b_2LenFirstTrack],1.e+4*diff_b2[0:b_2LenFirstTrack],'.r',linewidth=2)
plt.plot(1.e+4*prtclCoor_3[4,0:b_3LenFirstTrack],1.e+4*diff_b3[0:b_3LenFirstTrack],'.b',linewidth=2)
plt.xlabel('z, $\mu m$',color='m',fontsize=16)
plt.ylabel('$\Delta b$, $\mu m$',color='m',fontsize=16)
plt.title('First Trajectory: $\Delta b$ (Difference for Distances $b$ between Particles)',color='m',fontsize=16)
plt.legend(['$b_{Apprch-1}-b_{Apprch-2}$','$b_{Apprch-1}-b_{Apprch-3}$'],loc='upper left',fontsize=16)
# plt.xlim([1.e+4*prtclCoor_3[4,0]-50,1.e+4*prtclCoor_3[4,b_3LenFirstTrack-1]+50])
plt.ylim([-.5,.5])
plt.grid(True)
#
# Normalization of the arrays zApprch2dpx,zApprch2dpy,zApprch2dpz
# to improve visual presentation of the results:
#
if runFlagApproach_2 == 1 and plotFlagDpTransf == 1:
visPrezApprch2dpx=np.zeros((nBins,nBins))
visPrezApprch2dpy=np.zeros((nBins,nBins))
visPrezApprch2dpz=np.zeros((nBins,nBins))
dpxDataMax_2=-1.e24 # maximum for array of zApprch2dpx
indxAdpxDataMax_2=0 # index A_2 of the maximum for array of zApprch2dpx
indxBdpxDataMax_2=0 # index B_2 of the maximum for array of zApprch2dpx
dpyDataMax_2=-1.e24 # maximum for array of zApprch2dpx
indxAdpyDataMax_2=0 # index A_2 of the maximum for array of zApprch2dpx
indxBdpyDataMax_2=0 # index B_2 of the maximum for array of zApprch2dpx
dpzDataMax_2=-1.e24 # maximum for array of zApprch2dpx
indxAdpzDataMax_2=0 # index A_2 of the maximum for array of zApprch2dpx
indxBdpzDataMax_2=0 # index B_2 of the maximum for array of zApprch2dpx
normFactor=1.e24
for iA in range(nBins):
for iB in range(nBins):
visPrezApprch2dpx[iA,iB]=normFactor*zApprch2dpx[iA,iB]
visPrezApprch2dpy[iA,iB]=normFactor*zApprch2dpy[iA,iB]
visPrezApprch2dpz[iA,iB]=normFactor*zApprch2dpz[iA,iB]
if dpxDataMax_2 < abs(normFactor*zApprch2dpx[iA,iB]):
dpxDataMax_2=abs(normFactor*zApprch2dpx[iA,iB])
indxAdpxDataMax_2=iA
indxBdpxDataMax_2=iB
if dpyDataMax_2 < abs(normFactor*zApprch2dpy[iA,iB]):
dpyDataMax_2=abs(normFactor*zApprch2dpy[iA,iB])
indxAdpyDataMax_2=iA
indxBdpyDataMax_2=iB
if dpzDataMax_2 < abs(normFactor*zApprch2dpz[iA,iB]):
dpzDataMax_2=abs(normFactor*zApprch2dpz[iA,iB])
indxAdpzDataMax_2=iA
indxBdpzDataMax_2=iB
print '|Maximum| (approach-2): dpx=%e, dpy=%e, dpz=%e' % (dpxDataMax_2,dpyDataMax_2,dpzDataMax_2)
X2,Y2=np.meshgrid(xA_2,yB_2)
fig170=plt.figure(170)
ax170=fig170.gca(projection='3d')
# surf=ax170.plot_surface(X2,Y2,zApprch2dpx,cmap=cm.coolwarm,linewidth=0,antialiased=False)
surf=ax170.plot_surface(X2,Y2,visPrezApprch2dpx,cmap=cm.jet,linewidth=0,antialiased=False)
plt.title(('Approach-2: Transfered Momentum $dP_x$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{24}$ $g \cdot cm/sec$)' % \
(lastTrackNumber_2,dpxDataMax_2)), color='m',fontsize=16)
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
ax170.set_zlabel('$dP_x \cdot 10^{-24}$; $g \cdot cm/sec$',color='m',fontsize=16)
cb = fig170.colorbar(surf)
plt.grid(True)
fig175=plt.figure(175)
ax=fig175.add_subplot(111) # for contours plotting
# mapDpx=ax.contourf(X2,Y2,zApprch2dpx)
mapDpx=ax.contourf(X2,Y2,visPrezApprch2dpx)
# mapDpx=ax.contourf(X2,Y2,dpxApprch_2,levels) # Next 4 commands not work
# Contourrange=[int(NlarmCutofDown+1)]
# mapTurnCutoff=ax.contour(X2,Y2,Nlarm,Contourrange,format='%d',colors=('w'),linewidths=(2))
# plt.clabel(mapTurnCutoff,inline=1,fontsize=14,manual=[(-3,-1.5)])
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
plt.title(('Approach-2: Transfered Momentum $dP_x$ $(\cdot 10^{-24}$; $g \cdot cm/sec)$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{-24}$)' % \
(lastTrackNumber_2,dpxDataMax_2)), color='m',fontsize=14)
fig175.colorbar(mapDpx)
fig180=plt.figure(180)
ax180=fig180.gca(projection='3d')
# surf=ax180.plot_surface(X2,Y2,visPrezApprch2dpx,cmap=cm.coolwarm,linewidth=0,antialiased=False)
surf=ax180.plot_surface(X2,Y2,visPrezApprch2dpy,cmap=cm.jet,linewidth=0,antialiased=False)
plt.title(('Approach-2: Transfered Momentum $dP_y$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{24}$ $g \cdot cm/sec$)' % \
(lastTrackNumber_2,dpyDataMax_2)), color='m',fontsize=16)
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
ax180.set_zlabel('$dP_y \cdot 10^{-24}$; $g \cdot cm/sec$',color='m',fontsize=16)
cb = fig180.colorbar(surf)
# cbar=fig180.colorbar(surf,ticks=[0,1000,2000,3000,4000,5000,6000,7000]) # Next 2 commands not work
# cbar.ax.set_yticklabels(['0','1000','2000','3000','4000','5000','6000','7000'])
# labels=np.arange(0,8000,1000) # Next 4 commands not work
# location=labels
# cb.set_ticks(location)
# cb.set_ticklabels(labels)
# tick_locator = ticker.MaxNLocator(nbins=10) # Next 3 commands not work
# cb.locator = tick_locator
# cb.update_ticks()
plt.grid(True)
fig185=plt.figure(185)
ax=fig185.add_subplot(111) # for contours plotting
# mapDpx=ax.contourf(X2,Y2,zApprch2dpy)
mapDpy=ax.contourf(X2,Y2,visPrezApprch2dpy)
# mapDpy=ax.contourf(X2,Y2,dpxApprch_2,levels) # Next 4 commands not work
# Contourrange=[int(NlarmCutofDown+1)]
# mapTurnCutoff=ax.contour(X2,Y2,Nlarm,Contourrange,format='%d',colors=('w'),linewidths=(2))
# plt.clabel(mapTurnCutoff,inline=1,fontsize=14,manual=[(-3,-1.5)])
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
plt.title(('Approach-2: Transfered Momentum $dP_y$ $(\cdot 10^{-24}$; $g \cdot cm/sec)$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{-24}$)' % \
(lastTrackNumber_2,dpyDataMax_2)), color='m',fontsize=14)
cb = fig185.colorbar(mapDpy)
fig190=plt.figure(190)
ax190=fig190.gca(projection='3d')
# surf=ax190.plot_surface(X2,Y2,visPrezApprch2dpx,cmap=cm.coolwarm,linewidth=0,antialiased=False)
surf=ax190.plot_surface(X2,Y2,visPrezApprch2dpz,cmap=cm.jet,linewidth=0,antialiased=False)
plt.title(('Approach-2: Transfered Momentum $dP_z$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{24}$ $g \cdot cm/sec$)' % \
(lastTrackNumber_2,dpzDataMax_2)), color='m',fontsize=16)
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
ax190.set_zlabel('$dP_z \cdot 10^{-24}$; $g \cdot cm/sec$',color='m',fontsize=16)
cb = fig190.colorbar(surf)
plt.grid(True)
fig195=plt.figure(195)
ax=fig195.add_subplot(111) # for contours plotting
# mapDpx=ax.contourf(X2,Y2,zApprch2dpz)
mapDpz=ax.contourf(X2,Y2,visPrezApprch2dpz)
# mapDpx=ax.contourf(X2,Y2,dpxApprch_2,levels) # Next 4 commands not work
# Contourrange=[int(NlarmCutofDown+1)]
# mapTurnCutoff=ax.contour(X2,Y2,Nlarm,Contourrange,format='%d',colors=('w'),linewidths=(2))
# plt.clabel(mapTurnCutoff,inline=1,fontsize=14,manual=[(-3,-1.5)])
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
plt.title(('Approach-2: Transfered Momentum $dP_z$ $(\cdot 10^{-24}$; $g \cdot cm/sec)$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{-24}$)' % \
(lastTrackNumber_2,dpzDataMax_2)), color='m',fontsize=14)
fig195.colorbar(mapDpz)
if runFlagApproach_3 == 1:
pointsGCturns=turns # Number of points for drawing ("GC")
pBegArrw=pointsGCturns/2-1
if runFlagApproach_1 == 1 and runFlagApproach_3 == 1 and plotFlagTracks == 1:
fig210=plt.figure(210)
ax210=fig210.gca(projection='3d')
ax210.plot(1.e+4*prtclCoor[0,0:pointsStartLarmor],1.e+4*prtclCoor[2,0:pointsStartLarmor], \
1.e+4*prtclCoor[4,0:pointsStartLarmor],'-r',linewidth=2)
ax210.plot(1.e+4*prtclCoor[0,0:lengthArrowElc],1.e+4*prtclCoor[2,0:lengthArrowElc], \
1.e+4*prtclCoor[4,0:lengthArrowElc],'-b',linewidth=2)
ax210.plot(1.e+4*prtclCoor[0,pointsStartLarmor-lengthArrowElc:pointsStartLarmor], \
1.e+4*prtclCoor[2,pointsStartLarmor-lengthArrowElc:pointsStartLarmor], \
1.e+4*prtclCoor[4,pointsStartLarmor-lengthArrowElc:pointsStartLarmor],'-b',linewidth=2)
ax210.plot(1.e+4*prtclCoor_3[0,0:pointsGCturns],1.e+7*prtclCoor_3[2,0:pointsGCturns], \
1.e+4*prtclCoor_3[4,0:pointsGCturns],'-b',linewidth=2)
ax210.plot(1.e+4*prtclCoor_3[0,pBegArrw:pBegArrw+3],1.e+4*prtclCoor_3[2,pBegArrw:pBegArrw+3], \
1.e+4*prtclCoor_3[4,pBegArrw:pBegArrw+3],'-b',linewidth=4)
plt.xlabel('x, $\mu m$',color='m',fontsize=16)
plt.ylabel('y, ($\mu m$',color='m',fontsize=16)
ax210.set_zlabel('z, $\mu m$',color='m',fontsize=16)
plt.title(('First Electron Trajectory (Start; $N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' \
% (larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
ax210.text(0.,0.,-5425.,'Blue is Trajectory in the System of "Guiding Center"',color='b',fontsize=16)
# for m in range(pointsEndLarmor-50,pointsEndLarmor):
# print 'Electron: z(%d)=%e' % (m,1.e+4*prtclCoor[4,m])
# for m in range(pointsGCtot_3-turns,pointsGCtot_3):
# print 'Electron_gc: z(%d)=%e' % (m,1.e+4*prtclCoor_3[4,m])
print 'Last point of the first track: z(%d)=%e mkm, z_gc(%d)=%e mkm' % \
(pointsEndLarmor,1.e+4*prtclCoor[4,pointsEndLarmor-1],pointsGCtot_3,1.e+4*prtclCoor_3[4,pointsGCtot_3-1])
fig220=plt.figure(220)
ax220=fig220.gca(projection='3d')
ax220.plot(1.e+4*prtclCoor[0,pBeg:pointsEndLarmor], \
1.e+4*prtclCoor[2,pBeg:pointsEndLarmor], \
1.e+4*prtclCoor[4,pBeg:pointsEndLarmor],'-r',linewidth=2)
ax220.plot(1.e+4*prtclCoor[0,pointsEndLarmor-lengthArrowElc:pointsEndLarmor], \
1.e+4*prtclCoor[2,pointsEndLarmor-lengthArrowElc:pointsEndLarmor], \
1.e+4*prtclCoor[4,pointsEndLarmor-lengthArrowElc:pointsEndLarmor],'-r',linewidth=4)
ax220.plot(1.e+4*prtclCoor[0,pBeg:pBeg+lengthArrowElc], 1.e+4*prtclCoor[2,pBeg:pBeg+lengthArrowElc], \
1.e+4*prtclCoor[4,pBeg:pBeg+lengthArrowElc],'-r',linewidth=4)
ax220.plot(1.e+4*prtclCoor_3[0,pointsGCtot_3-turns:pointsGCtot_3],1.e+4*prtclCoor_3[2,pointsGCtot_3-turns:pointsGCtot_3], \
1.e+4*prtclCoor_3[4,pointsGCtot_3-turns:pointsGCtot_3],'-b',linewidth=2)
ax220.plot(1.e+4*prtclCoor_3[0,pointsGCtot_3-6:pointsGCtot_3-3],1.e+4*prtclCoor_3[2,pointsGCtot_3-6:pointsGCtot_3-3], \
1.e+4*prtclCoor_3[4,pointsGCtot_3-6:pointsGCtot_3-3],'-b',linewidth=4)
plt.xlabel('x, $\mu m$',color='m',fontsize=16)
plt.ylabel('y, $\mu m$',color='m',fontsize=16)
ax220.set_zlabel('z, $\mu m$',color='m',fontsize=16)
plt.title(('First Electron Trajectory (End; $N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
ax220.text(0.,0.,25.,'Blue is Trajectory in the System of "Guiding Center"',color='b',fontsize=16)
pEndArrw=pointsEndLarmor-pointsTurns/2
pBegArrw=pEndArrw-50
# print 'pointsGCtot_3=%d, turns=%d' % (pointsGCtot_3,turns)
# for m in range(pointsGCtot_3-turns,pointsGCtot_3):
# print 'Point %d: x=%e, y=%e, z=%e' % (m,1.e+7*prtclCoor_3[6,m],1.e+7*prtclCoor_3[8,m],1.e+7*prtclCoor_3[10,m])
fig225=plt.figure(225)
ax225=fig225.gca(projection='3d')
ax225.plot(1.e+7*prtclCoor[6,pBeg:pointsEndLarmor],1.e+7*prtclCoor[8,pBeg:pointsEndLarmor], \
1.e+7*prtclCoor[10,pBeg:pointsEndLarmor],'-r',linewidth=2)
ax225.plot(1.e+7*prtclCoor[6,pBegArrw:pEndArrw],1.e+7*prtclCoor[8,pBegArrw:pEndArrw], \
1.e+7*prtclCoor[10,pBegArrw:pEndArrw],'-r',linewidth=4)
ax225.plot(1.e+7*prtclCoor_3[6,pointsGCtot_3-turns:pointsGCtot_3],1.e+7*prtclCoor_3[8,pointsGCtot_3-turns:pointsGCtot_3], \
1.e+7*prtclCoor_3[10,pointsGCtot_3-turns:pointsGCtot_3],'xb',linewidth=2)
plt.xlabel('x, $nm$',color='m',fontsize=16)
plt.ylabel('y, $nm$',color='m',fontsize=16)
ax225.set_zlabel('z, $nm$',color='m',fontsize=16)
plt.title('First Ion Trajectory (End)',color='m',fontsize=16)
if runFlagApproach_3 == 1:
pointCoor_3=np.zeros(pointsGCtot_3)
zCoor_3=np.zeros(pointsGCtot_3)
stepNzCoor=50
k=0
for m in range(0,pointsGCtot_3,stepNzCoor):
pointCoor_3[k]=k*stepNzCoor*stepsNumberOnGyro
zCoor_3[k]=1.e4*prtclCoor_3[4,m]
k += 1
NzCoor_3=k
if runFlagApproach_2 == 1 and plotFlagDpTransf == 1:
plt.figure(155)
plt.plot(uPot_enrgKin_2,larmR_b_2,'.r')
plt.xlim([minUpot_enrgKin_2-.1,maxUpot_enrgKin_2+.1])
plt.ylim([minLarmR_b_2-.1,maxLarmR_b_2+.1])
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
plt.title(('Approach-2: Map for Transfered Momenta Calculations\nTracks: %d' % lastTrackNumber_2), color='m',fontsize=16)
plt.grid(True)
if runFlagApproach_3 == 1 and plotFlagDpTransf == 1:
plt.figure(255)
plt.plot(uPot_enrgKin_3,larmR_b_3,'.r')
plt.xlim([minUpot_enrgKin_3-.1,maxUpot_enrgKin_3+.1])
plt.ylim([minLarmR_b_3-.1,maxLarmR_b_3+.1])
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
plt.title(('Approach-3: Map for Transfered Momenta Calculations\nTracks: %d' % lastTrackNumber_3), color='m',fontsize=16)
plt.grid(True)
if runFlagApproach_1 == 1 and runFlagApproach_3 == 1 and plotFlagTracks == 1:
fig425=plt.figure(425)
plt.plot(1.e+4*prtclCoor_3[4,0:b_3LenFirstTrack],1.e+4*diff_b3[0:b_3LenFirstTrack],'.r',linewidth=2)
plt.xlabel('z, $\mu m$',color='m',fontsize=16)
plt.ylabel('$\Delta b=b_{Apprch-1}-b_{Apprch-3}$, $\mu m$',color='m',fontsize=16)
plt.title('First Trajectory: $\Delta b$ (Difference for Distances $b$ between Particles)',color='m',fontsize=16)
plt.xlim([1.e+4*prtclCoor_3[4,0]-50,1.e+4*prtclCoor_3[4,b_3LenFirstTrack-1]+50])
plt.ylim([-.5,.5])
plt.grid(True)
if runFlagApproach_2 == 1 and runFlagApproach_3 == 1 and plotFlagTracks == 1:
plt.figure(430)
plt.plot(pointCoor_2[0:NzCoor_2],xCoor_2[0:NzCoor_2],'-r',markersize=10)
plt.plot(pointCoor_3[0:NzCoor_3],xCoor_3[0:NzCoor_3],'xb',markersize=10)
# plt.xlim([-100,pointsEndLarmor+100])
# plt.ylim([-5600,250])
plt.xlabel('Points',color='m',fontsize=16)
plt.ylabel('x, $\mu$m',color='m',fontsize=16)
plt.title(('First Electron Trajectory ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
# plt.text(1000,-300,'Blue is Trajectory in the System of "Guiding Center"',color='b',fontsize=16)
plt.grid(True)
plt.figure(440)
plt.plot(pointCoor_2[0:NzCoor_2],yCoor_2[0:NzCoor_2],'-r',markersize=10)
plt.plot(pointCoor_3[0:NzCoor_3],yCoor_3[0:NzCoor_3],'xb',markersize=10)
# plt.xlim([-100,pointsEndLarmor+100])
plt.ylim([-.000005,.000025])
plt.xlabel('Points',color='m',fontsize=16)
plt.ylabel('y, $\mu$m',color='m',fontsize=16)
plt.title(('First Electron Trajectory ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
# plt.text(1000,-300,'Blue is Trajectory in the System of "Guiding Center"',color='b',fontsize=16)
plt.grid(True)
plt.figure(450)
plt.plot(pointCoor_2[0:NzCoor_2],zCoor_2[0:NzCoor_2],'-r',markersize=10)
plt.plot(pointCoor_3[0:NzCoor_3],zCoor_3[0:NzCoor_3],'xb',markersize=10)
# plt.xlim([-100,pointsEndLarmor+100])
# plt.ylim([-5600,250])
plt.xlabel('Points',color='m',fontsize=16)
plt.ylabel('z, $\mu$m',color='m',fontsize=16)
plt.title(('First Electron Trajectory ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
(larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
# plt.text(1000,-300,'Blue is Trajectory in the System of "Guiding Center"',color='b',fontsize=16)
plt.grid(True)
fig460=plt.figure(460)
plt.plot(1.e+4*prtclCoor_2[4,0:pointTrack_2[0]],1.e+30*prtclCoor_2[13,0:pointTrack_2[0]]-2.384782e+6,'.r',linewidth=2)
plt.plot(1.e+4*prtclCoor_3[4,0:pointTrack_3[0]],1.e+30*prtclCoor_3[13,0:pointTrack_3[0]]-2.384782e+6,'xb',linewidth=2)
plt.xlabel('z, $\mu m$',color='m',fontsize=16)
plt.ylabel('$J$, $g \cdot cm^2/sec$',color='m',fontsize=16)
plt.title('First Electron Trajectory: Action $J$',color='m',fontsize=16)
plt.grid(True)
if runFlagApproach_3 == 1 and plotFlagTracks == 1:
plt.figure(500)
plt.plot(1.e4*prtclCoor_3[4,0:pointTrack_3[0]],1.e4*prtclCoor_3[13,0:pointTrack_3[0]],'.r',linewidth=2)
# plt.xlim([-100,pointsEndLarmor+100])
# plt.ylim([-5600,250])
plt.ylabel('$dy_{gc}$, $\mu$m',color='m',fontsize=16)
plt.xlabel('z, $\mu$m',color='m',fontsize=16)
# plt.title(('First Electron Trajectory ($N_{Larm}=$%d):\nImpact Parameter=%5.2f $\mu$m, $R_{Larm}$=%5.2f $\mu$m' % \
# (larmorNumber[0],1.e+4*rhoFirstTurn,1.e+4*rhoLarmorFirstTurn)),color='m',fontsize=16)
# plt.text(1000,-300,'Blue is Trajectory in the System of "Guiding Center"',color='b',fontsize=16)
plt.grid(True)
#
# Normalization of the arrays zApprch3dpx,zApprch3dpy,zApprch3dpz
# to improve visual presentation of the results:
#
if runFlagApproach_3 == 1 and plotFlagDpTransf == 1:
visPrezApprch3dpx=np.zeros((nBins,nBins))
visPrezApprch3dpy=np.zeros((nBins,nBins))
visPrezApprch3dpz=np.zeros((nBins,nBins))
dpxDataMax_3=-1.e24 # maximum for array of zApprch3dpx
indxAdpxDataMax_3=0 # index A_3 of the maximum for array of zApprch3dpx
indxBdpxDataMax_3=0 # index B_3 of the maximum for array of zApprch3dpx
dpyDataMax_3=-1.e24 # maximum for array of zApprch3dpx
indxAdpyDataMax_3=0 # index A_3 of the maximum for array of zApprch3dpx
indxBdpyDataMax_3=0 # index B_3 of the maximum for array of zApprch3dpx
dpzDataMax_3=-1.e24 # maximum for array of zApprch3dpx
indxAdpzDataMax_3=0 # index A_3 of the maximum for array of zApprch3dpx
indxBdpzDataMax_3=0 # index B_3 of the maximum for array of zApprch3dpx
normFactor=1.e24
for iA in range(nBins):
for iB in range(nBins):
visPrezApprch3dpx[iA,iB]=normFactor*zApprch3dpx[iA,iB]
visPrezApprch3dpy[iA,iB]=normFactor*zApprch3dpy[iA,iB]
visPrezApprch3dpz[iA,iB]=normFactor*zApprch3dpz[iA,iB]
if dpxDataMax_3 < abs(normFactor*zApprch3dpx[iA,iB]):
dpxDataMax_3=abs(normFactor*zApprch3dpx[iA,iB])
indxAdpxDataMax_3=iA
indxBdpxDataMax_3=iB
if dpyDataMax_3 < abs(normFactor*zApprch3dpy[iA,iB]):
dpyDataMax_3=abs(normFactor*zApprch3dpy[iA,iB])
indxAdpyDataMax_3=iA
indxBdpyDataMax_3=iB
# print 'zApprch3dpz[%d,%d]=%e, max=%e' % (iA,iB,normFactor*zApprch3dpz[iA,iB],dpzDataMax_3)
if dpzDataMax_3 < abs(normFactor*zApprch3dpz[iA,iB]):
dpzDataMax_3=abs(normFactor*zApprch3dpz[iA,iB])
indxAdpzDataMax_3=iA
indxBdpzDataMax_3=iB
print '|Maximum| (approach-3): dpx=%e, dpy=%e, dpz=%e' % (dpxDataMax_3,dpyDataMax_3,dpzDataMax_3)
X3,Y3=np.meshgrid(xA_3,yB_3)
fig270=plt.figure(270)
ax270=fig270.gca(projection='3d')
# surf=ax270.plot_surface(X3,Y3,zApprch2dpx,cmap=cm.coolwarm,linewidth=0,antialiased=False)
surf=ax270.plot_surface(X3,Y3,visPrezApprch3dpx,cmap=cm.jet,linewidth=0,antialiased=False)
plt.title(('Approach-3: Transfered Momentum $dP_x$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{24}$ $g \cdot cm/sec$)' % \
(lastTrackNumber_3,dpxDataMax_3)), color='m',fontsize=16)
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
ax270.set_zlabel('$dP_x \cdot 10^{-24}$; $g \cdot cm/sec$',color='m',fontsize=16)
cb = fig270.colorbar(surf)
plt.grid(True)
fig275=plt.figure(275)
ax=fig275.add_subplot(111) # for contours plotting
# mapDpx=ax.contourf(X3,Y3,zApprch3dpx)
mapDpx=ax.contourf(X3,Y3,visPrezApprch3dpx)
# mapDpx=ax.contourf(X3,Y3,dpxApprch_3,levels) # Next 4 commands not work
# Contourrange=[int(NlarmCutofDown+1)]
# mapTurnCutoff=ax.contour(X3,Y3,Nlarm,Contourrange,format='%d',colors=('w'),linewidths=(2))
# plt.clabel(mapTurnCutoff,inline=1,fontsize=14,manual=[(-3,-1.5)])
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
plt.title(('Approach-3: Transfered Momentum $dP_x$ $(\cdot 10^{-24}$; $g \cdot cm/sec)$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{-24}$)' % \
(lastTrackNumber_3,dpxDataMax_3)), color='m',fontsize=14)
fig275.colorbar(mapDpx)
fig280=plt.figure(280)
ax280=fig280.gca(projection='3d')
# surf=ax280.plot_surface(X3,Y3,visPrezApprch3dpx,cmap=cm.coolwarm,linewidth=0,antialiased=False)
surf=ax280.plot_surface(X3,Y3,visPrezApprch3dpy,cmap=cm.jet,linewidth=0,antialiased=False)
plt.title(('Approach-3: Transfered Momentum $dP_y$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{24}$ $g \cdot cm/sec$)' % \
(lastTrackNumber_3,dpyDataMax_3)), color='m',fontsize=16)
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
ax280.set_zlabel('$dP_y \cdot 10^{-24}$; $g \cdot cm/sec$',color='m',fontsize=16)
cb = fig280.colorbar(surf)
# cbar=fig280.colorbar(surf,ticks=[0,1000,2000,3000,4000,5000,6000,7000]) # Next 2 commands not work
# cbar.ax.set_yticklabels(['0','1000','2000','3000','4000','5000','6000','7000'])
# labels=np.arange(0,8000,1000) # Next 4 commands not work
# location=labels
# cb.set_ticks(location)
# cb.set_ticklabels(labels)
# tick_locator = ticker.MaxNLocator(nbins=10) # Next 3 commands not work
# cb.locator = tick_locator
# cb.update_ticks()
plt.grid(True)
fig285=plt.figure(285)
ax=fig285.add_subplot(111) # for contours plotting
# mapDpx=ax.contourf(X3,Y3,zApprch3dpy)
mapDpy=ax.contourf(X3,Y3,visPrezApprch3dpy)
# mapDpx=ax.contourf(X3,Y3,dpxApprch_3,levels) # Next 4 commands not work
# Contourrange=[int(NlarmCutofDown+1)]
# mapTurnCutoff=ax.contour(X3,Y3,Nlarm,Contourrange,format='%d',colors=('w'),linewidths=(2))
# plt.clabel(mapTurnCutoff,inline=1,fontsize=14,manual=[(-3,-1.5)])
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
plt.title(('Approach-3: Transfered Momentum $dP_y$ $(\cdot 10^{-24}$; $g \cdot cm/sec)$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{-24}$)' % \
(lastTrackNumber_3,dpyDataMax_3)), color='m',fontsize=14)
fig285.colorbar(mapDpy)
fig290=plt.figure(290)
ax290=fig290.gca(projection='3d')
# surf=ax290.plot_surface(X3,Y3,visPrezApprch3dpx,cmap=cm.coolwarm,linewidth=0,antialiased=False)
surf=ax290.plot_surface(X3,Y3,visPrezApprch3dpz,cmap=cm.jet,linewidth=0,antialiased=False)
plt.title(('Approach-3: Transfered Momentum $dP_z$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{24}$ $g \cdot cm/sec$)' % \
(lastTrackNumber_3,dpzDataMax_3)), color='m',fontsize=16)
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
ax290.set_zlabel('$dP_z \cdot 10^{-24}$; $g \cdot cm/sec$',color='m',fontsize=16)
cb = fig290.colorbar(surf)
plt.grid(True)
fig295=plt.figure(295)
ax=fig295.add_subplot(111) # for contours plotting
# mapDpx=ax.contourf(X3,Y3,zApprch3dpz)
mapDpz=ax.contourf(X3,Y3,visPrezApprch3dpz)
# mapDpx=ax.contourf(X3,Y3,dpxApprch_3,levels) # Next 4 commands not work
# Contourrange=[int(NlarmCutofDown+1)]
# mapTurnCutoff=ax.contour(X3,Y3,Nlarm,Contourrange,format='%d',colors=('w'),linewidths=(2))
# plt.clabel(mapTurnCutoff,inline=1,fontsize=14,manual=[(-3,-1.5)])
plt.xlabel('$A=log_{10}(q_e^2/b/E_{kin})$',color='m',fontsize=16)
plt.ylabel('$B=log_{10}(R_{Larm}/b)$',color='m',fontsize=16)
plt.title(('Approach-3: Transfered Momentum $dP_z$ $(\cdot 10^{-24}$; $g \cdot cm/sec)$\nTracks: %d (|Maximum| = %5.1f $\cdot 10^{-24}$)' % \
(lastTrackNumber_3,dpzDataMax_3)), color='m',fontsize=14)
fig295.colorbar(mapDpz)
plt.show()
sys.exit()
###########################################################
#
# Writing 6-vector for electron along first trajectory:
#
###########################################################
outputFile='elec6vector.dat'
print 'Open output file "%s"...' % outputFile
outfileFlag=0
try:
outfile = open(outputFile,'w')
outfileFlag=1
except:
print 'Problem to open output file "%s"' % outputFile
outfile.write ('\n First trajectory of electron (total points %d)' % pointsEndLarmor)
outfile.write ('\n x, cm y, cm z, cm px, g*cm/sec py, g*cm/sec pz, g*cm/sec\n\n')
for it in range(pointsEndLarmor):
strLine= ' {: 12.6e}'.format(prtclCoor[0,it])+', '+'{: 12.6e}'.format(prtclCoor[2,it])+ \
', '+'{: 12.6e}'.format(prtclCoor[4,it])+', '
strLine=strLine+'{: 12.6e}'.format(prtclCoor[1,it])+', '+'{: 12.6e}'.format(prtclCoor[3,it])+ \
', '+'{: 12.6e}'.format(prtclCoor[5,it])
outfile.write ('%s\n' % strLine)
outfile.close()
print 'Close the written output file "%s"' % outputFile
###########################################################
#
# Writing 6-vector for ion along first trajectory:
#
###########################################################
outputFile='ion6vector.dat'
print 'Open output file "%s"...' % outputFile
outfileFlag=0
try:
outfile = open(outputFile,'w')
outfileFlag=1
except:
print 'Problem to open output file "%s"' % outputFile
outfile.write ('\n First trajectory of ion (total points %d)' % pointsEndLarmor)
outfile.write ('\n x, cm y, cm z, cm px, g*cm/sec py, g*cm/sec pz, g*cm/sec\n\n')
for it in range(pointsEndLarmor):
strLine= ' {: 12.6e}'.format(prtclCoor[6,it])+', '+'{: 12.6e}'.format(prtclCoor[8,it])+', '+'{: 12.6e}'.format(prtclCoor[10,it])+', '
strLine=strLine+'{: 12.6e}'.format(prtclCoor[7,it])+', '+'{: 12.6e}'.format(prtclCoor[9,it])+', '+'{: 12.6e}'.format(prtclCoor[11,it])
outfile.write ('%s\n' % strLine)
outfile.close()
print 'Close the written output file "%s"' % outputFile
# sys.exit()
###################################################
#
# Writing the results to output file for later processing and vizualization:
#
###################################################
#
# Opening the output file for approach-1:
#
outputFile='dpApprch1.dat'
print 'Open output file "%s"...' % outputFile
outfileFlag=0
try:
outfile = open(outputFile,'w')
outfileFlag=1
except:
print 'Problem to open output file "%s"' % outputFile
nInLine=10
outfile.write ('\n Tracks: %d , Normalization Factor: %e\n' % (lastTrackNumber,normFactor))
#
# Writing the array xA=log10(Upot/Ekin) to output file:
#
outfile.write ('\n xA=log10(eVca/Ekin) ( Entries: %d with %d per line)\n\n' % (nBins,nInLine))
k=0
for m in range(nBins):
strVal='{:f}'.format(xA[m])
if k == 0:
xA_line=strVal
else:
xA_line=xA_line+', '+strVal
k += 1
if k == nInLine:
outfile.write ('%s\n' % xA_line)
k=0
if k != 0:
outfile.write ('%s\n' % xA_line)
#
# Writing the array yB=log10(Rlarm/b) to output file:
#
outfile.write ('\n yB=log10(Rlarm/b) ( Entries: %d with %d per line)\n\n' % (nBins,nInLine))
k=0
for m in range(nBins):
strVal='{:f}'.format(yB[m])
if k == 0:
yB_line=strVal
else:
yB_line=yB_line+', '+strVal
k += 1
if k == nInLine:
outfile.write ('%s\n' % yB_line)
k=0
if k != 0:
outfile.write ('%s\n' % yB_line)
'''
#
# Writing the array zApprch1dpx to output file (without of the skiping of the repeated zero values):
#
outfile.write ('\n zApprch1dpx[iA,iB] (1/cm**2; Entries: %d x %d )' % (nBins,nBins))
outfile.write \
('\nFormat: for iB=0: iA=0 --> nBins-1; then for iB=1: iA=0 --> nBins-1 and so on till iB=nBins-1\n\n')
k=0
for mB in range(2):
for mA in range(nBins):
strVal='{:e}'.format(zApprch1dpx[mA,mB])
if k == 0:
zRes_line=strVal
else:
zRes_line=zRes_line+', '+strVal
k += 1
if k == nInLine:
outfile.write ('%s\n' % zRes_line)
k=0
if k != 0:
outfile.write ('%s\n' % zRes_line)
'''
#
# Writing the array zApprch1dpx to output file (skiping of the repeated zero values):
#
nInLine=8
outfile.write ('\n zApprch1dpx[iA,iB] (1/cm**2; Entries: %d x %d with %d per line)' % (nBins,nBins,nInLine))
outfile.write \
('\nFormat: for iB=0: iA=0 --> nBins-1, then for iB=1: iA=0 --> nBins-1 and so on till for iB=nBins-1: iA=0 --> nBins-1\n\n')
k=0
countsRes=0
zRes_line=''
nZero=0
valPrev=-1.
for mB in range(nBins):
for mA in range(nBins):
valCrrnt=zApprch1dpx[mA,mB]
strVal='{:e}'.format(valCrrnt)
if valPrev == -1.:
zRes_line=zRes_line+strVal
k += 1
countsRes += 1
if valCrrnt == 0.:
nZero=1
else:
if valPrev != 0. and valCrrnt != 0.:
if countsRes == 1:
zRes_line=zRes_line+', '+strVal+', '
else:
zRes_line=zRes_line+strVal+', '
k += 1
countsRes += 1
if valPrev != 0. and valCrrnt == 0.:
if countsRes == 1:
zRes_line=zRes_line+', '+strVal
else:
zRes_line=zRes_line+strVal
k += 1
nZero += 1
if valPrev == 0. and valCrrnt == 0.:
nZero += 1
if valPrev == 0. and valCrrnt != 0.:
if k < nInLine:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+'), '+strVal+', '
k += 1
countsRes += nZero+1
nZero=0
else:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+'),'
outfile.write ('%s\n' % zRes_line)
zRes_line=''
k=0
zRes_line=zRes_line+strVal+', '
k += 1
countsRes += nZero+1
nZero=0
if k >= nInLine:
if nZero == 0:
outfile.write ('%s\n' % zRes_line)
zRes_line=''
k=0
# print 'mA=%d, mB=%d,valCrrnt=%e, valPrev=%e; nZero=%d, k=%d, countsRes=%d' % (mA,mB,valCrrnt,valPrev,nZero,k,countsRes)
valPrev=valCrrnt
if nZero !=0:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+')'
if nZero != nBins*nBins:
countsRes += nZero
else:
countsRes=nBins*nBins
outfile.write ('%s\n' % zRes_line)
print 'Total counts for zApprch1dpx data =%d' % countsRes
if countsRes != nBins*nBins:
print 'Something wrong in the writing of zApprch1dpx data to output file!'
#
# Writing the array zApprch1dpy to output file (skiping of the repeated zero values):
#
nInLine=8
outfile.write ('\n zApprch1dpy[iA,iB] (1/cm**2; Entries: %d x %d with %d per line)' % (nBins,nBins,nInLine))
outfile.write \
('\nFormat: for iB=0: iA=0 --> nBins-1, then for iB=1: iA=0 --> nBins-1 and so on till for iB=nBins-1: iA=0 --> nBins-1\n\n')
k=0
countsRes=0
zRes_line=''
nZero=0
valPrev=-1.
for mB in range(nBins):
for mA in range(nBins):
valCrrnt=zApprch1dpy[mA,mB]
strVal='{:e}'.format(valCrrnt)
if valPrev == -1.:
zRes_line=zRes_line+strVal
k += 1
countsRes += 1
if valCrrnt == 0.:
nZero=1
else:
if valPrev != 0. and valCrrnt != 0.:
if countsRes == 1:
zRes_line=zRes_line+', '+strVal+', '
else:
zRes_line=zRes_line+strVal+', '
k += 1
countsRes += 1
if valPrev != 0. and valCrrnt == 0.:
if countsRes == 1:
zRes_line=zRes_line+', '+strVal
else:
zRes_line=zRes_line+strVal
k += 1
nZero += 1
if valPrev == 0. and valCrrnt == 0.:
nZero += 1
if valPrev == 0. and valCrrnt != 0.:
if k < nInLine:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+'), '+strVal+', '
k += 1
countsRes += nZero+1
nZero=0
else:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+'),'
outfile.write ('%s\n' % zRes_line)
zRes_line=''
k=0
zRes_line=zRes_line+strVal+', '
k += 1
countsRes += nZero+1
nZero=0
if k >= nInLine:
if nZero == 0:
outfile.write ('%s\n' % zRes_line)
zRes_line=''
k=0
# print 'mA=%d, mB=%d,valCrrnt=%e, valPrev=%e; nZero=%d, k=%d, countsRes=%d' % (mA,mB,valCrrnt,valPrev,nZero,k,countsRes)
valPrev=valCrrnt
if nZero !=0:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+')'
if nZero != nBins*nBins:
countsRes += nZero
else:
countsRes=nBins*nBins
outfile.write ('%s\n' % zRes_line)
print 'Total counts for zApprch1dpy data =%d' % countsRes
if countsRes != nBins*nBins:
print 'Something wrong in the writing of zApprch1dpy data to output file!'
#
# Writing the array zApprch1dpz to output file (skiping of the repeated zero values):
#
nInLine=8
outfile.write ('\n zApprch1dpz[iA,iB] (1/cm**2; Entries: %d x %d with %d per line)' % (nBins,nBins,nInLine))
outfile.write \
('\nFormat: for iB=0: iA=0 --> nBins-1, then for iB=1: iA=0 --> nBins-1 and so on till for iB=nBins-1: iA=0 --> nBins-1\n\n')
k=0
countsRes=0
zRes_line=''
nZero=0
valPrev=-1.
for mB in range(nBins):
for mA in range(nBins):
valCrrnt=zApprch1dpz[mA,mB]
strVal='{:e}'.format(valCrrnt)
if valPrev == -1.:
zRes_line=zRes_line+strVal
k += 1
countsRes += 1
if valCrrnt == 0.:
nZero=1
else:
if valPrev != 0. and valCrrnt != 0.:
if countsRes == 1:
zRes_line=zRes_line+', '+strVal+', '
else:
zRes_line=zRes_line+strVal+', '
k += 1
countsRes += 1
if valPrev != 0. and valCrrnt == 0.:
if countsRes == 1:
zRes_line=zRes_line+', '+strVal
else:
zRes_line=zRes_line+strVal
k += 1
nZero += 1
if valPrev == 0. and valCrrnt == 0.:
nZero += 1
if valPrev == 0. and valCrrnt != 0.:
if k < nInLine:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+'), '+strVal+', '
k += 1
countsRes += nZero+1
nZero=0
else:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+'),'
outfile.write ('%s\n' % zRes_line)
zRes_line=''
k=0
zRes_line=zRes_line+strVal+', '
k += 1
countsRes += nZero+1
nZero=0
if k >= nInLine:
if nZero == 0:
outfile.write ('%s\n' % zRes_line)
zRes_line=''
k=0
# print 'mA=%d, mB=%d,valCrrnt=%e, valPrev=%e; nZero=%d, k=%d, countsRes=%d' % (mA,mB,valCrrnt,valPrev,nZero,k,countsRes)
valPrev=valCrrnt
if nZero !=0:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+')'
if nZero != nBins*nBins:
countsRes += nZero
else:
countsRes=nBins*nBins
outfile.write ('%s\n' % zRes_line)
outfile.write ('\n')
print 'Total counts for zApprch1dpz data =%d' % countsRes
if countsRes != nBins*nBins:
print 'Something wrong in the writing of zApprch1dpz data to output file!'
outfile.close()
print 'Close the written output file "%s"' % outputFile
#
# Opening the output file for approach-2:
#
outputFile='dpApprch2.dat'
print 'Open output file "%s"...' % outputFile
outfileFlag=0
try:
outfile = open(outputFile,'w')
outfileFlag=1
except:
print 'Problem to open output file "%s"' % outputFile
nInLine=10
outfile.write ('\n Tracks: %d , Normalization Factor: %e\n' % (lastTrackNumber,normFactor))
#
# Writing the array xA_2=log10(Upot/Ekin) to output file:
#
outfile.write ('\n xA_2=log10(eVca/Ekin) ( Entries: %d with %d per line)\n\n' % (nBins,nInLine))
k=0
for m in range(nBins):
strVal='{:f}'.format(xA_2[m])
if k == 0:
xA_line=strVal
else:
xA_line=xA_line+', '+strVal
k += 1
if k == nInLine:
outfile.write ('%s\n' % xA_line)
k=0
if k != 0:
outfile.write ('%s\n' % xA_line)
#
# Writing the array yB_2=log10(Rlarm/b) to output file:
#
outfile.write ('\n yB_2=log10(Rlarm/b) ( Entries: %d with %d per line)\n\n' % (nBins,nInLine))
k=0
for m in range(nBins):
strVal='{:f}'.format(yB_2[m])
if k == 0:
yB_line=strVal
else:
yB_line=yB_line+', '+strVal
k += 1
if k == nInLine:
outfile.write ('%s\n' % yB_line)
k=0
if k != 0:
outfile.write ('%s\n' % yB_line)
'''
#
# Writing the array zApprch2dpx to output file (without of the skiping of the repeated zero values):
#
outfile.write ('\n zApprch2dpx[iA_2,iB_2] (1/cm**2; Entries: %d x %d )' % (nBins,nBins))
outfile.write \
('\nFormat: for iB_2=0: iA_2=0 --> nBins-1; then for iB_2=1: iA=0 --> nBins-1 and so on till iB_2=nBins-1\n\n')
k=0
for mB_2 in range(2):
for mA_2 in range(nBins):
strVal='{:e}'.format(zApprch2dpx[mA_2,mB_2])
if k == 0:
zRes_line=strVal
else:
zRes_line=zRes_line+', '+strVal
k += 1
if k == nInLine:
outfile.write ('%s\n' % zRes_line)
k=0
if k != 0:
outfile.write ('%s\n' % zRes_line)
'''
#
# Writing the array zApprch2dpx to output file (skiping of the repeated zero values):
#
nInLine=8
outfile.write ('\n zApprch2dpx[iA_2,iB_2] (1/cm**2; Entries: %d x %d with %d per line)' % (nBins,nBins,nInLine))
outfile.write \
('\nFormat: for iB_2=0: iA_2=0 --> nBins-1, then for iB_2=1: iA_2=0 --> nBins-1 and so on till for iB_2=nBins-1: iA_2=0 --> nBins-1\n\n')
k=0
countsRes=0
zRes_line=''
nZero=0
valPrev=-1.
for mB_2 in range(nBins):
for mA_2 in range(nBins):
valCrrnt=zApprch2dpx[mA_2,mB_2]
strVal='{:e}'.format(valCrrnt)
if valPrev == -1.:
zRes_line=zRes_line+strVal
k += 1
countsRes += 1
if valCrrnt == 0.:
nZero=1
else:
if valPrev != 0. and valCrrnt != 0.:
if countsRes == 1:
zRes_line=zRes_line+', '+strVal+', '
else:
zRes_line=zRes_line+strVal+', '
k += 1
countsRes += 1
if valPrev != 0. and valCrrnt == 0.:
if countsRes == 1:
zRes_line=zRes_line+', '+strVal
else:
zRes_line=zRes_line+strVal
k += 1
nZero += 1
if valPrev == 0. and valCrrnt == 0.:
nZero += 1
if valPrev == 0. and valCrrnt != 0.:
if k < nInLine:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+'), '+strVal+', '
k += 1
countsRes += nZero+1
nZero=0
else:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+'),'
outfile.write ('%s\n' % zRes_line)
zRes_line=''
k=0
zRes_line=zRes_line+strVal+', '
k += 1
countsRes += nZero+1
nZero=0
if k >= nInLine:
if nZero == 0:
outfile.write ('%s\n' % zRes_line)
zRes_line=''
k=0
# print 'mA_2=%d, mB_2=%d,valCrrnt=%e, valPrev=%e; nZero=%d, k=%d, countsRes=%d' % \
# (mA_2,mB_2,valCrrnt,valPrev,nZero,k,countsRes)
valPrev=valCrrnt
if nZero !=0:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+')'
if nZero != nBins*nBins:
countsRes += nZero
else:
countsRes=nBins*nBins
outfile.write ('%s\n' % zRes_line)
print 'Total counts for zApprch2dpx data =%d' % countsRes
if countsRes != nBins*nBins:
print 'Something wrong in the writing of zApprch2dpx data to output file!'
#
# Writing the array zApprch2dpy to output file (skiping of the repeated zero values):
#
nInLine=8
outfile.write ('\n zApprch2dpy[iA_2,iB_2] (1/cm**2; Entries: %d x %d with %d per line)' % (nBins,nBins,nInLine))
outfile.write \
('\nFormat: for iB_2=0: iA_2=0 --> nBins-1, then for iB_2=1: iA_2=0 --> nBins-1 and so on till for iB_2=nBins-1: iA_2=0 --> nBins-1\n\n')
k=0
countsRes=0
zRes_line=''
nZero=0
valPrev=-1.
for mB_2 in range(nBins):
for mA_2 in range(nBins):
valCrrnt=zApprch2dpy[mA_2,mB_2]
strVal='{:e}'.format(valCrrnt)
if valPrev == -1.:
zRes_line=zRes_line+strVal
k += 1
countsRes += 1
if valCrrnt == 0.:
nZero=1
else:
if valPrev != 0. and valCrrnt != 0.:
if countsRes == 1:
zRes_line=zRes_line+', '+strVal+', '
else:
zRes_line=zRes_line+strVal+', '
k += 1
countsRes += 1
if valPrev != 0. and valCrrnt == 0.:
if countsRes == 1:
zRes_line=zRes_line+', '+strVal
else:
zRes_line=zRes_line+strVal
k += 1
nZero += 1
if valPrev == 0. and valCrrnt == 0.:
nZero += 1
if valPrev == 0. and valCrrnt != 0.:
if k < nInLine:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+'), '+strVal+', '
k += 1
countsRes += nZero+1
nZero=0
else:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+'),'
outfile.write ('%s\n' % zRes_line)
zRes_line=''
k=0
zRes_line=zRes_line+strVal+', '
k += 1
countsRes += nZero+1
nZero=0
if k >= nInLine:
if nZero == 0:
outfile.write ('%s\n' % zRes_line)
zRes_line=''
k=0
# print 'mA_2=%d, mB_2=%d,valCrrnt=%e, valPrev=%e; nZero=%d, k=%d, countsRes=%d' % \
# (mA_2,mB_2,valCrrnt,valPrev,nZero,k,countsRes)
valPrev=valCrrnt
if nZero !=0:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+')'
if nZero != nBins*nBins:
countsRes += nZero
else:
countsRes=nBins*nBins
outfile.write ('%s\n' % zRes_line)
print 'Total counts for zApprch2dpy data =%d' % countsRes
if countsRes != nBins*nBins:
print 'Something wrong in the writing of zApprch2dpy data to output file!'
#
# Writing the array zApprch2dpz to output file (skiping of the repeated zero values):
#
nInLine=8
outfile.write ('\n zApprch2dpz[iA_2,iB_2] (1/cm**2; Entries: %d x %d with %d per line)' % (nBins,nBins,nInLine))
outfile.write \
('\nFormat: for iB_2=0: iA_2=0 --> nBins-1, then for iB_2=1: iA_2=0 --> nBins-1 and so on till for iB_2=nBins-1: iA_2=0 --> nBins-1\n\n')
k=0
countsRes=0
zRes_line=''
nZero=0
valPrev=-1.
for mB_2 in range(nBins):
for mA_2 in range(nBins):
valCrrnt=zApprch2dpz[mA_2,mB_2]
strVal='{:e}'.format(valCrrnt)
if valPrev == -1.:
zRes_line=zRes_line+strVal
k += 1
countsRes += 1
if valCrrnt == 0.:
nZero=1
else:
if valPrev != 0. and valCrrnt != 0.:
if countsRes == 1:
zRes_line=zRes_line+', '+strVal+', '
else:
zRes_line=zRes_line+strVal+', '
k += 1
countsRes += 1
if valPrev != 0. and valCrrnt == 0.:
if countsRes == 1:
zRes_line=zRes_line+', '+strVal
else:
zRes_line=zRes_line+strVal
k += 1
nZero += 1
if valPrev == 0. and valCrrnt == 0.:
nZero += 1
if valPrev == 0. and valCrrnt != 0.:
if k < nInLine:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+'), '+strVal+', '
k += 1
countsRes += nZero+1
nZero=0
else:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+'),'
outfile.write ('%s\n' % zRes_line)
zRes_line=''
k=0
zRes_line=zRes_line+strVal+', '
k += 1
countsRes += nZero+1
nZero=0
if k >= nInLine:
if nZero == 0:
outfile.write ('%s\n' % zRes_line)
zRes_line=''
k=0
# print 'mA_2=%d, mB_2=%d,valCrrnt=%e, valPrev=%e; nZero=%d, k=%d, countsRes=%d' % \
# (mA_2,mB_2,valCrrnt,valPrev,nZero,k,countsRes)
valPrev=valCrrnt
if nZero !=0:
zRes_line=zRes_line+'('+'{:d}'.format(nZero)+')'
if nZero != nBins*nBins:
countsRes += nZero
else:
countsRes=nBins*nBins
outfile.write ('%s\n' % zRes_line)
outfile.write ('\n')
print 'Total counts for zApprch2dpz data =%d' % countsRes
if countsRes != nBins*nBins:
print 'Something wrong in the writing of zApprch2dpz data to output file!'
outfile.close()
print 'Close the written output file "%s"' % outputFile
sys.exit()
###################################################
#
# Reading the data from output files for checking (these part of code will be used in
# the script threeApproachesVisualozation.py for later processing and vizualization):
#
###################################################
#
# Opening the input file 'dpApprch1.dat':
#
inputFile='dpApprch1.dat'
print 'Open input file "%s"...' % inputFile
inpfileFlag=0
try:
inpfile = open(inputFile,'r')
inpfileFlag=1
except:
print 'Problem to open input file "%s"' % inputFile
#
# Reading the results from input file:
#
xAheaderLineNumber=0 # Serial number of line with header for xA-Data
yBheaderLineNumber=0 # Serial number of line with header for yB-Data
dataDpxHeaderLineNumber=0 # Serial number of line with header for dataDpx
dataDpyHeaderLineNumber=0 # Serial number of line with header for dataDpy
dataDpzHeaderLineNumber=0 # Serial number of line with header for dataDpz
lastLineNumber=0 # Number of the last line
xAdataFlag=0 # =1 when xA-Data already read
yBdataFlag=0 # =1 when yB-Data already read
dataDpxFlag=0 # =1 when dataDpx already read
dataDpyFlag=0 # =1 when dataDpy already read
dataDpzFlag=0 # =1 when dataDpz already read
xAdata=[] # Array of xA-Data
yBdata=[] # Array of yB-Data
dataDpx=[] # Array of dataDpx
dataDpy=[] # Array of dataDpy
dataDpz=[] # Array of dataDpz
lines=0 # Number of current line from input file
linesFull=0 # Number of fully filled rows with each type of data
dataNumber=0 # Number of current value of any types of Data
while True:
lineData=inpfile.readline()
# print 'line=%d: %s' % (lines,lineData)
if not lineData:
break
lines += 1
if lines == 2:
words=lineData.split()
indx1=words.index('Tracks:')
lastTrackNumber=int(words[indx1+1])
indx2=words.index('Factor:')
normFactor=float(words[indx2+1])
print 'lastTrackNumber=%d, normFactor=%e' % (lastTrackNumber,normFactor)
# Header for xA-Data:
if lines == 4:
words=lineData.split()
indx1=words.index('Entries:')
xAentries=int(words[indx1+1])
indx2=words.index('with')
perLine=int(words[indx2+1])
# print 'xAdata-Header from %d: words =%s, index1=%d, entries=%d, index2=%d, perLine=%d' % (lines,words,indx1,xAentries,indx2,perLine)
xAdata=np.zeros(xAentries)
linesFull=xAentries//perLine
entriesRem=xAentries-perLine*linesFull
yBheaderLineNumber=linesFull+7
if entriesRem > 0:
yBheaderLineNumber += 1
print 'yBheaderLineNumber=%d' % yBheaderLineNumber
if xAdataFlag == 0:
# xA-Data:
if lines > 5 and lines <= yBheaderLineNumber-2:
words=lineData.split()
nWords=len(words)
# print 'xA-Data from %d: words=%s, number of entries = %d' % (lines,words,nWords)
for m in range(nWords):
wordCrrnt=words[m].split(",")
xAdata[dataNumber]=float(wordCrrnt[0])
dataNumber += 1
if lines == yBheaderLineNumber-2:
xAdataFlag=1
print 'xA-Data(%d entries) already read' % xAentries
# Header for yB-Data:
if lines == yBheaderLineNumber:
words=lineData.split()
indx1=words.index('Entries:')
yBentries=int(words[indx1+1])
indx2=words.index('with')
perLine=int(words[indx2+1])
# print 'yBdata-Header from %d: words =%s, index1=%d, entries=%d, index2=%d, perLine=%d' % (lines,words,indx1,yBentries,indx2,perLine)
yBdata=np.zeros(yBentries)
linesFull=yBentries//perLine
entriesRem=yBentries-perLine*linesFull
dataDpxHeaderLineNumber=yBheaderLineNumber+linesFull+3
if entriesRem > 0:
dataDpxHeaderLineNumber += 1
# print 'dataDpxHeaderLineNumber=%d' % dataDpxHeaderLineNumber
dataNumber=0
if xAdataFlag == 1 and yBdataFlag == 0:
# yB-Data:
if lines > yBheaderLineNumber+1 and lines <= dataDpxHeaderLineNumber-2:
words=lineData.split()
nWords=len(words)
# print 'yB-Data from %d: words=%s, number of entries = %d' % (lines,words,nWords)
for m in range(nWords):
wordCrrnt=words[m].split(",")
yBdata[dataNumber]=float(wordCrrnt[0])
dataNumber += 1
if lines == dataDpxHeaderLineNumber-2:
yBdataFlag=1
print 'yB-Data(%d entries) already read' % yBentries
# Header for dataDpx:
if lines == dataDpxHeaderLineNumber:
words=lineData.split()
indx1=words.index('Entries:')
entriesA=int(words[indx1+1])
indx2=words.index('x')
entriesB=int(words[indx2+1])
indx3=words.index('with')
perLine=int(words[indx3+1])
# print 'dataDpx-Header from %d: words =%s, index1=%d, entriesA=%d, index2=%d, entriesB=%d, index3=%d, perLine=%d' % \
# (lines,words,indx1,entriesA,indx2,entriesB,indx3,perLine)
dataDpx=np.zeros((entriesA,entriesB))
# If data are written without skiping of the repeated zero values:
# linesFull=entriesA*entriesB//perLine
# entriesRem=entriesA*entriesB-perLine*linesFull
mA=0
mB=0
total_mAmB=0
if yBdataFlag == 1 and dataDpxFlag == 0:
# dataDpx: (Format: at the begining, the index mA for "xA-direction" increases and only after that index mB for "yB-direction")
if lines > dataDpxHeaderLineNumber+2:
# print 'line %d: "%s' % (lines,lineData)
words=lineData.split()
nWords=len(words)
# print 'Data from %d: words=%s, number of entries = %d' % (lines,words,nWords)
if nWords == 0:
dataDpxFlag=1
dataDpyHeaderLineNumber=lines+1
# print 'dataDpyHeaderLineNumber=%d' % dataDpyHeaderLineNumber
else:
for m in range(nWords):
wordCrrnt=words[m].split(",")
# print 'wordCrrnt: ', wordCrrnt
indxBrsktOpn=wordCrrnt[0].find('(')
if indxBrsktOpn > 0:
indxBrsktCls=wordCrrnt[0].find(')')
# Nonrepeated zero values:
if indxBrsktOpn < 0:
# print 'nonZero value=%e' % float(wordCrrnt[0])
dataDpx[mA,mB]=float(wordCrrnt[0])
total_mAmB += 1
mA += 1
if mA == entriesA:
mA=0
mB += 1
else:
wordHelp=wordCrrnt[0]
nZero=int(wordHelp[indxBrsktOpn+1:indxBrsktCls])
# print 'Number of zero=%d' % nZero
for nZ in range(nZero):
dataDpx[mA,mB]=0.
total_mAmB += 1
mA += 1
if mA == entriesA:
mA=0
mB += 1
if dataDpxFlag == 1:
print 'dataDpx(%d x %d entries) already read (total %d)' % (entriesA,entriesB,total_mAmB)
# Header for dataDpy:
if lines == dataDpyHeaderLineNumber:
words=lineData.split()
indx1=words.index('Entries:')
entriesA=int(words[indx1+1])
indx2=words.index('x')
entriesB=int(words[indx2+1])
indx3=words.index('with')
perLine=int(words[indx3+1])
# print 'dataDpy-Header from %d: words =%s, index1=%d, entriesA=%d, index2=%d, entriesB=%d, index3=%d, perLine=%d' % \
# (lines,words,indx1,entriesA,indx2,entriesB,indx3,perLine)
dataDpy=np.zeros((entriesA,entriesB))
# If data are written without skiping of the repeated zero values:
# linesFull=entriesA*entriesB//perLine
# entriesRem=entriesA*entriesB-perLine*linesFull
mA=0
mB=0
total_mAmB=0
if dataDpxFlag == 1 and dataDpyFlag == 0:
# dataDpy: (Format: at the begining, the index mA for "xA-direction" increases and only after that index mB for "yB-direction")
if lines > dataDpyHeaderLineNumber+2:
words=lineData.split()
nWords=len(words)
# print 'Data from %d: words=%s, number of entries = %d' % (lines,words,nWords)
if nWords == 0:
dataDpyFlag=1
dataDpzHeaderLineNumber=lines+1
# print 'dataDpzHeaderLineNumber=%d' % dataDpzHeaderLineNumber
else:
for m in range(nWords):
wordCrrnt=words[m].split(",")
# print 'wordCrrnt: ', wordCrrnt
indxBrsktOpn=wordCrrnt[0].find('(')
if indxBrsktOpn > 0:
indxBrsktCls=wordCrrnt[0].find(')')
# Nonrepeated zero values:
if indxBrsktOpn < 0:
# print 'nonZero value=%e' % float(wordCrrnt[0])
dataDpy[mA,mB]=float(wordCrrnt[0])
total_mAmB += 1
mA += 1
if mA == entriesA:
mA=0
mB += 1
else:
wordHelp=wordCrrnt[0]
nZero=int(wordHelp[indxBrsktOpn+1:indxBrsktCls])
# print 'Number of zero=%d' % nZero
for nZ in range(nZero):
dataDpy[mA,mB]=0.
total_mAmB += 1
mA += 1
if mA == entriesA:
mA=0
mB += 1
if dataDpyFlag == 1:
print 'dataDpy(%d x %d entries) already read (total %d)' % (entriesA,entriesB,total_mAmB)
# Header for dataDpz:
if lines == dataDpzHeaderLineNumber:
words=lineData.split()
indx1=words.index('Entries:')
entriesA=int(words[indx1+1])
indx2=words.index('x')
entriesB=int(words[indx2+1])
indx3=words.index('with')
perLine=int(words[indx3+1])
# print 'dataDpz-Header from %d: words =%s, index1=%d, entriesA=%d, index2=%d, entriesB=%d, index3=%d, perLine=%d' % \
# (lines,words,indx1,entriesA,indx2,entriesB,indx3,perLine)
dataDpz=np.zeros((entriesA,entriesB))
# If data are written without skiping of the repeated zero values:
# linesFull=entriesA*entriesB//perLine
# entriesRem=entriesA*entriesB-perLine*linesFull
mA=0
mB=0
total_mAmB=0
if dataDpyFlag == 1 and dataDpzFlag == 0:
# dataDpz: (Format: at the begining, the index mA for "xA-direction" increases and only after that index mB for "yB-direction")
if lines > dataDpzHeaderLineNumber+2:
words=lineData.split()
nWords=len(words)
# print 'Data from %d: words=%s, number of entries = %d' % (lines,words,nWords)
if nWords == 0:
dataDpzFlag=1
# Not necessary:
# dataDpzHeaderLineNumber=lines+1
# print 'dataDpzHeaderLineNumber=%d' % dataDpzHeaderLineNumber
else:
for m in range(nWords):
wordCrrnt=words[m].split(",")
# print 'wordCrrnt: ', wordCrrnt
indxBrsktOpn=wordCrrnt[0].find('(')
if indxBrsktOpn > 0:
indxBrsktCls=wordCrrnt[0].find(')')
# Nonrepeated zero values:
if indxBrsktOpn < 0:
# print 'nonZero value=%e' % float(wordCrrnt[0])
dataDpz[mA,mB]=float(wordCrrnt[0])
total_mAmB += 1
mA += 1
if mA == entriesA:
mA=0
mB += 1
else:
wordHelp=wordCrrnt[0]
nZero=int(wordHelp[indxBrsktOpn+1:indxBrsktCls])
# print 'Number of zero=%d' % nZero
for nZ in range(nZero):
dataDpz[mA,mB]=0.
total_mAmB += 1
mA += 1
if mA == entriesA:
mA=0
mB += 1
if dataDpzFlag == 1:
print 'dataDpz(%d x %d entries) already read (total %d)' % (entriesA,entriesB,total_mAmB)
break
inpfile.close()
print 'Close input file "%s"' % inputFile
#
# Comparison written and readed data for checking writing/reading:
#
print 'Comparison written and readed data for checking writing/reading:'
nBad=0
for mA in range(xAentries):
if abs(xA[mA]-xAdata[mA]) > 1.e-6:
nBad += 1
print 'Something wrong with xA data for %d: xA=%16.10e, xAdata=%16.10e' % (mA,xA[mA],xAdata[mA])
if nBad == 0:
print 'Everything is OK for xA data'
nBad=0
for mB in range(yBentries):
if abs(yB[mA]-yBdata[mA]) > 1.e-6:
nBad += 1
print 'Something wrong with yB data for %d: yB=%16.10e, yBdata=%16.10e' % (mB,yB[mB],yBdata[mB])
if nBad == 0:
print 'Everything is OK for yB data'
nBad=0
for mB in range(entriesB):
for mA in range(entriesA):
if abs(zApprch1dpx[mA,mB]-dataDpx[mA,mB]) > 1.e-3:
nBad += 1
print 'Something wrong with zApprch1dpx data for mA=%d and mB=%d: zApprch1dpx=%16.10e, dataDpx=%16.10e' % \
(mA,mB,zApprch1dpx[mA,mB],dataDpx[mA,mB])
if nBad == 0:
print 'Everything is OK for zApprch1dpx data'
nBad=0
for mB in range(entriesB):
for mA in range(entriesA):
if abs(zApprch1dpy[mA,mB]-dataDpy[mA,mB]) > 1.e-3:
nBad += 1
print 'Something wrong with zApprch1dpy data for mA=%d and mB=%d: zApprch1dpy=%16.10e, dataDpy=%16.10e' % \
(mA,mB,zApprch1dpy[mA,mB],dataDpy[mA,mB])
if nBad == 0:
print 'Everything is OK for zApprch1dpy data'
nBad=0
for mB in range(entriesB):
for mA in range(entriesA):
if abs(zApprch1dpz[mA,mB]-dataDpz[mA,mB]) > 1.e-3:
nBad += 1
print 'Something wrong with zApprch1dpz data for mA=%d and mB=%d: zApprch1dpz=%16.10e, dataDpz=%16.10e' % \
(mA,mB,zApprch1dpz[mA,mB],dataDpz[mA,mB])
if nBad == 0:
print 'Everything is OK for zApprch1dpz data'
#
# Comparison written and readed data for checking writing/reading:
#
print 'Comparison written and readed data for checking writing/reading:'
nBad=0
for mA in range(xAentries):
if abs(xA[mA]-xAdata[mA]) > 1.e-6:
nBad += 1
print 'Something wrong with xA data for %d: xA=%16.10e, xAdata=%16.10e' % (mA,xA[mA],xAdata[mA])
if nBad == 0:
print 'Everything is OK for xA data'
nBad=0
for mB in range(yBentries):
if abs(yB[mA]-yBdata[mA]) > 1.e-6:
nBad += 1
print 'Something wrong with yB data for %d: yB=%16.10e, yBdata=%16.10e' % (mB,yB[mB],yBdata[mB])
if nBad == 0:
print 'Everything is OK for yB data'
nBad=0
for mB in range(entriesB):
for mA in range(entriesA):
if abs(zApprch1dpx[mA,mB]-dataDpx[mA,mB]) > 1.e-3:
nBad += 1
print 'Something wrong with zApprch1dpx data for mA=%d and mB=%d: zApprch1dpx=%16.10e, dataDpx=%16.10e' % \
(mA,mB,zApprch1dpx[mA,mB],dataDpx[mA,mB])
if nBad == 0:
print 'Everything is OK for zApprch1dpx data'
nBad=0
for mB in range(entriesB):
for mA in range(entriesA):
if abs(zApprch1dpy[mA,mB]-dataDpy[mA,mB]) > 1.e-3:
nBad += 1
print 'Something wrong with zApprch1dpy data for mA=%d and mB=%d: zApprch1dpy=%16.10e, dataDpy=%16.10e' % \
(mA,mB,zApprch1dpy[mA,mB],dataDpy[mA,mB])
if nBad == 0:
print 'Everything is OK for zApprch1dpy data'
nBad=0
for mB in range(entriesB):
for mA in range(entriesA):
if abs(zApprch1dpz[mA,mB]-dataDpz[mA,mB]) > 1.e-3:
nBad += 1
print 'Something wrong with zApprch1dpz data for mA=%d and mB=%d: zApprch1dpz=%16.10e, dataDpz=%16.10e' % \
(mA,mB,zApprch1dpz[mA,mB],dataDpz[mA,mB])
if nBad == 0:
print 'Everything is OK for zApprch1dpz data'
#
# Opening the input file 'dpApprch2.dat':
#
inputFile='dpApprch2.dat'
print 'Open input file "%s"...' % inputFile
inpfileFlag=0
try:
inpfile = open(inputFile,'r')
inpfileFlag=1
except:
print 'Problem to open input file "%s"' % inputFile
#
# Reading the results from input file:
#
xA_2headerLineNumber=0 # Serial number of line with header for xA_2data
yB_2headerLineNumber=0 # Serial number of line with header for yB_2data
dataDpxHeaderLineNumber_2=0 # Serial number of line with header for dataDpx_2
dataDpyHeaderLineNumber_2=0 # Serial number of line with header for dataDpy_2
dataDpzHeaderLineNumber_2=0 # Serial number of line with header for dataDpz_2
lastLineNumber_2=0 # Number of the last line
xA_2dataFlag=0 # =1 when xA_2data already read
yB_2dataFlag=0 # =1 when yB_2data already read
dataDpxFlag_2=0 # =1 when dataDpx_2 already read
dataDpyFlag_2=0 # =1 when dataDpy_2 already read
dataDpzFlag_2=0 # =1 when dataDpz_2 already read
xA_2data=[] # Array of xA_2data
yB_2data=[] # Array of yB_2data
dataDpx_2=[] # Array of dataDpx_2
dataDpy_2=[] # Array of dataDpy_2
dataDpz_2=[] # Array of dataDpz_2
lines=0 # Number of current line from input file
linesFull=0 # Number of fully filled rows with each type of data
dataNumber=0 # Number of current value of any types of Data
while True:
lineData=inpfile.readline()
# print 'line=%d: %s' % (lines,lineData)
if not lineData:
break
lines += 1
if lines == 2:
words=lineData.split()
indx1=words.index('Tracks:')
lastTrackNumber=int(words[indx1+1])
indx2=words.index('Factor:')
normFactor=float(words[indx2+1])
print 'lastTrackNumber=%d, normFactor=%e' % (lastTrackNumber,normFactor)
# Header for xA-Data:
if lines == 4:
words=lineData.split()
indx1=words.index('Entries:')
xAentries=int(words[indx1+1])
indx2=words.index('with')
perLine=int(words[indx2+1])
# print 'xAdata-Header from %d: words =%s, index1=%d, entries=%d, index2=%d, perLine=%d' % (lines,words,indx1,xAentries,indx2,perLine)
xA_2data=np.zeros(xAentries)
linesFull=xAentries//perLine
entriesRem=xAentries-perLine*linesFull
yB_2headerLineNumber=linesFull+7
if entriesRem > 0:
yB_2headerLineNumber += 1
print 'yB_2headerLineNumber=%d' % yB_2headerLineNumber
if xA_2dataFlag == 0:
# xA_2data:
if lines > 5 and lines <= yB_2headerLineNumber-2:
words=lineData.split()
nWords=len(words)
# print 'xA_2data from %d: words=%s, number of entries = %d' % (lines,words,nWords)
for m in range(nWords):
wordCrrnt=words[m].split(",")
xA_2data[dataNumber]=float(wordCrrnt[0])
dataNumber += 1
if lines == yB_2headerLineNumber-2:
xA_2dataFlag=1
print 'xA_2data(%d entries) already read' % xAentries
# Header for yB_2data:
if lines == yBheaderLineNumber:
words=lineData.split()
indx1=words.index('Entries:')
yBentries=int(words[indx1+1])
indx2=words.index('with')
perLine=int(words[indx2+1])
# print 'yB_2data-Header from %d: words =%s, index1=%d, entries=%d, index2=%d, perLine=%d' % (lines,words,indx1,yBentries,indx2,perLine)
yB_2data=np.zeros(yBentries)
linesFull=yBentries//perLine
entriesRem=yBentries-perLine*linesFull
dataDpxHeaderLineNumber_2=yB_2headerLineNumber+linesFull+3
if entriesRem > 0:
dataDpxHeaderLineNumber_2 += 1
# print 'dataDpxHeaderLineNumber_2=%d' % dataDpxHeaderLineNumber_2
dataNumber=0
if xA_2dataFlag == 1 and yB_2dataFlag == 0:
# yB-Data:
if lines > yB_2headerLineNumber+1 and lines <= dataDpxHeaderLineNumber_2-2:
words=lineData.split()
nWords=len(words)
# print 'yB-Data from %d: words=%s, number of entries = %d' % (lines,words,nWords)
for m in range(nWords):
wordCrrnt=words[m].split(",")
yB_2data[dataNumber]=float(wordCrrnt[0])
dataNumber += 1
if lines == dataDpxHeaderLineNumber_2-2:
yB_2dataFlag=1
print 'yB_2data(%d entries) already read' % yBentries
# Header for dataDpx_2:
if lines == dataDpxHeaderLineNumber_2:
words=lineData.split()
indx1=words.index('Entries:')
entriesA=int(words[indx1+1])
indx2=words.index('x')
entriesB=int(words[indx2+1])
indx3=words.index('with')
perLine=int(words[indx3+1])
# print 'dataDpx_2-Header from %d: words =%s, index1=%d, entriesA=%d, index2=%d, entriesB=%d, index3=%d, perLine=%d' % \
# (lines,words,indx1,entriesA,indx2,entriesB,indx3,perLine)
dataDpx_2=np.zeros((entriesA,entriesB))
# If data are written without skiping of the repeated zero values:
# linesFull=entriesA*entriesB//perLine
# entriesRem=entriesA*entriesB-perLine*linesFull
mA=0
mB=0
total_mAmB=0
if yB_2dataFlag == 1 and dataDpxFlag_2 == 0:
# dataDpx: (Format: at the begining, the index mA for "xA-direction" increases and only after that index mB for "yB-direction")
if lines > dataDpxHeaderLineNumber_2+2:
# print 'line %d: "%s' % (lines,lineData)
words=lineData.split()
nWords=len(words)
# print 'Data from %d: words=%s, number of entries = %d' % (lines,words,nWords)
if nWords == 0:
dataDpxFlag_2=1
dataDpyHeaderLineNumber_2=lines+1
# print 'dataDpyHeaderLineNumber_2=%d' % dataDpyHeaderLineNumber_2
else:
for m in range(nWords):
wordCrrnt=words[m].split(",")
# print 'wordCrrnt: ', wordCrrnt
indxBrsktOpn=wordCrrnt[0].find('(')
if indxBrsktOpn > 0:
indxBrsktCls=wordCrrnt[0].find(')')
# Nonrepeated zero values:
if indxBrsktOpn < 0:
# print 'nonZero value=%e' % float(wordCrrnt[0])
dataDpx_2[mA,mB]=float(wordCrrnt[0])
total_mAmB += 1
mA += 1
if mA == entriesA:
mA=0
mB += 1
else:
wordHelp=wordCrrnt[0]
nZero=int(wordHelp[indxBrsktOpn+1:indxBrsktCls])
# print 'Number of zero=%d' % nZero
for nZ in range(nZero):
dataDpx_2[mA,mB]=0.
total_mAmB += 1
mA += 1
if mA == entriesA:
mA=0
mB += 1
if dataDpxFlag_2 == 1:
print 'dataDpx_2(%d x %d entries) already read (total %d)' % (entriesA,entriesB,total_mAmB)
# Header for dataDpy_2:
if lines == dataDpyHeaderLineNumber_2:
words=lineData.split()
indx1=words.index('Entries:')
entriesA=int(words[indx1+1])
indx2=words.index('x')
entriesB=int(words[indx2+1])
indx3=words.index('with')
perLine=int(words[indx3+1])
# print 'dataDpy_2-Header from %d: words =%s, index1=%d, entriesA=%d, index2=%d, entriesB=%d, index3=%d, perLine=%d' % \
# (lines,words,indx1,entriesA,indx2,entriesB,indx3,perLine)
dataDpy_2=np.zeros((entriesA,entriesB))
# If data are written without skiping of the repeated zero values:
# linesFull=entriesA*entriesB//perLine
# entriesRem=entriesA*entriesB-perLine*linesFull
mA=0
mB=0
total_mAmB=0
if dataDpxFlag_2 == 1 and dataDpyFlag_2 == 0:
# dataDpy: (Format: at the begining, the index mA for "xA-direction" increases and only after that index mB for "yB-direction")
if lines > dataDpyHeaderLineNumber_2+2:
words=lineData.split()
nWords=len(words)
# print 'Data from %d: words=%s, number of entries = %d' % (lines,words,nWords)
if nWords == 0:
dataDpyFlag_2=1
dataDpzHeaderLineNumber_2=lines+1
# print 'dataDpzHeaderLineNumber_2=%d' % dataDpzHeaderLineNumber_2
else:
for m in range(nWords):
wordCrrnt=words[m].split(",")
# print 'wordCrrnt: ', wordCrrnt
indxBrsktOpn=wordCrrnt[0].find('(')
if indxBrsktOpn > 0:
indxBrsktCls=wordCrrnt[0].find(')')
# Nonrepeated zero values:
if indxBrsktOpn < 0:
# print 'nonZero value=%e' % float(wordCrrnt[0])
dataDpy_2[mA,mB]=float(wordCrrnt[0])
total_mAmB += 1
mA += 1
if mA == entriesA:
mA=0
mB += 1
else:
wordHelp=wordCrrnt[0]
nZero=int(wordHelp[indxBrsktOpn+1:indxBrsktCls])
# print 'Number of zero=%d' % nZero
for nZ in range(nZero):
dataDpy_2[mA,mB]=0.
total_mAmB += 1
mA += 1
if mA == entriesA:
mA=0
mB += 1
if dataDpyFlag_2 == 1:
print 'dataDpy_2(%d x %d entries) already read (total %d)' % (entriesA,entriesB,total_mAmB)
# Header for dataDpz_2:
if lines == dataDpzHeaderLineNumber_2:
words=lineData.split()
indx1=words.index('Entries:')
entriesA=int(words[indx1+1])
indx2=words.index('x')
entriesB=int(words[indx2+1])
indx3=words.index('with')
perLine=int(words[indx3+1])
# print 'dataDpz-Header from %d: words =%s, index1=%d, entriesA=%d, index2=%d, entriesB=%d, index3=%d, perLine=%d' % \
# (lines,words,indx1,entriesA,indx2,entriesB,indx3,perLine)
dataDpz_2=np.zeros((entriesA,entriesB))
# If data are written without skiping of the repeated zero values:
# linesFull=entriesA*entriesB//perLine
# entriesRem=entriesA*entriesB-perLine*linesFull
mA=0
mB=0
total_mAmB=0
if dataDpyFlag_2 == 1 and dataDpzFlag_2 == 0:
# dataDpz: (Format: at the begining, the index mA for "xA-direction" increases and only after that index mB for "yB-direction")
if lines > dataDpzHeaderLineNumber_2+2:
words=lineData.split()
nWords=len(words)
# print 'Data from %d: words=%s, number of entries = %d' % (lines,words,nWords)
if nWords == 0:
dataDpzFlag_2=1
# Not necessary:
# dataDpzHeaderLineNumber_2=lines+1
# print 'dataDpzHeaderLineNumber_2=%d' % dataDpzHeaderLineNumber_2
else:
for m in range(nWords):
wordCrrnt=words[m].split(",")
# print 'wordCrrnt: ', wordCrrnt
indxBrsktOpn=wordCrrnt[0].find('(')
if indxBrsktOpn > 0:
indxBrsktCls=wordCrrnt[0].find(')')
# Nonrepeated zero values:
if indxBrsktOpn < 0:
# print 'nonZero value=%e' % float(wordCrrnt[0])
dataDpz_2[mA,mB]=float(wordCrrnt[0])
total_mAmB += 1
mA += 1
if mA == entriesA:
mA=0
mB += 1
else:
wordHelp=wordCrrnt[0]
nZero=int(wordHelp[indxBrsktOpn+1:indxBrsktCls])
# print 'Number of zero=%d' % nZero
for nZ in range(nZero):
dataDpz_2[mA,mB]=0.
total_mAmB += 1
mA += 1
if mA == entriesA:
mA=0
mB += 1
if dataDpzFlag_2 == 1:
print 'dataDpz_2(%d x %d entries) already read (total %d)' % (entriesA,entriesB,total_mAmB)
break
inpfile.close()
print 'Close input file "%s"' % inputFile
#
# Comparison written and readed data for checking writing/reading:
#
print 'Comparison written and readed data for checking writing/reading:'
nBad=0
for mA in range(xAentries):
if abs(xA_2[mA]-xA_2data[mA]) > 1.e-6:
nBad += 1
print 'Something wrong with xA data for %d: xA=%16.10e, xAdata=%16.10e' % (mA,xA[mA],xAdata[mA])
if nBad == 0:
print 'Everything is OK for xA data'
nBad=0
for mB in range(yBentries):
if abs(yB_2[mA]-yB_2data[mA]) > 1.e-6:
nBad += 1
print 'Something wrong with yB data for %d: yB=%16.10e, yBdata=%16.10e' % (mB,yB[mB],yBdata[mB])
if nBad == 0:
print 'Everything is OK for yB data'
nBad=0
for mB in range(entriesB):
for mA in range(entriesA):
if abs(zApprch2dpx[mA,mB]-dataDpx_2[mA,mB]) > 1.e-3:
nBad += 1
print 'Something wrong with zApprch2dpx data for mA=%d and mB=%d: zApprch2dpx=%16.10e, dataDpx_2=%16.10e' % \
(mA,mB,zApprch2dpx[mA,mB],dataDpx_2[mA,mB])
if nBad == 0:
print 'Everything is OK for zApprch2dpx data'
nBad=0
for mB in range(entriesB):
for mA in range(entriesA):
if abs(zApprch2dpy[mA,mB]-dataDpy_2[mA,mB]) > 1.e-3:
nBad += 1
print 'Something wrong with zApprch2dpy data for mA=%d and mB=%d: zApprch2dpy=%16.10e, dataDpy_2=%16.10e' % \
(mA,mB,zApprch2dpy[mA,mB],dataDpy_2[mA,mB])
if nBad == 0:
print 'Everything is OK for zApprch2dpy data'
nBad=0
for mB in range(entriesB):
for mA in range(entriesA):
if abs(zApprch2dpz[mA,mB]-dataDpz_2[mA,mB]) > 1.e-3:
nBad += 1
print 'Something wrong with zApprch2dpz data for mA=%d and mB=%d: zApprch2dpz=%16.10e, dataDpz_2=%16.10e' % \
(mA,mB,zApprch2dpz[mA,mB],dataDpz_2[mA,mB])
if nBad == 0:
print 'Everything is OK for zApprch2dpz data'
sys.exit()
| 46.711233 | 150 | 0.595334 | 23,304 | 170,496 | 4.244593 | 0.040208 | 0.005237 | 0.026184 | 0.028469 | 0.796727 | 0.744692 | 0.702161 | 0.655981 | 0.622114 | 0.596557 | 0 | 0.054434 | 0.254158 | 170,496 | 3,649 | 151 | 46.724034 | 0.723434 | 0.230527 | 0 | 0.519623 | 0 | 0.026038 | 0.125293 | 0.01551 | 0.000755 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.008679 | null | null | 0.043019 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
bec81f783512d66e1f693cbbd87ade38c6cecfcd | 1,259 | py | Python | var/spack/repos/builtin/packages/xtl/package.py | QianJianhua1/spack | 363536fd929d2aee280e07780ff6c98498d7be46 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 11 | 2015-10-04T02:17:46.000Z | 2018-02-07T18:23:00.000Z | var/spack/repos/builtin/packages/xtl/package.py | QianJianhua1/spack | 363536fd929d2aee280e07780ff6c98498d7be46 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 22 | 2017-08-01T22:45:10.000Z | 2022-03-10T07:46:31.000Z | var/spack/repos/builtin/packages/xtl/package.py | QianJianhua1/spack | 363536fd929d2aee280e07780ff6c98498d7be46 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 4 | 2016-06-10T17:57:39.000Z | 2018-09-11T04:59:38.000Z | # Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Xtl(CMakePackage):
"""QuantStack tools library"""
homepage = "https://github.com/QuantStack/xtl"
url = "https://github.com/QuantStack/xtl/archive/0.3.4.tar.gz"
git = "https://github.com/QuantStack/xtl.git"
maintainers = ['ax3l']
version('develop', branch='master')
version('0.7.4', sha256='3c88be0e696b64150c4de7a70f9f09c00a335186b0b0b409771ef9f56bca7d9a')
version('0.7.2', sha256='95c221bdc6eaba592878090916383e5b9390a076828552256693d5d97f78357c')
version('0.6.4', sha256='5db5087c37daab3e1d35337782f79972aaaf19218a0de786a0515f247244e390')
version('0.4.0', sha256='2cfe9acbcc4e484f3aa33a98892a09ffe79bb9c0dfd3ffc57b3561f44c591e7c')
version('0.3.4', sha256='618536c3998091b0bdd7f8202e8bec9c34e82409c8ee0ea179a2759bdea426e2')
version('0.3.3', sha256='1110364c2ea0a2536ec6673e46afcb8fa7e92a66593211270bbeb26b85342600')
# C++14 support
conflicts('%gcc@:4.8')
conflicts('%clang@:3.6')
# untested: conflicts('%intel@:15')
# untested: conflicts('%pgi@:14')
| 40.612903 | 95 | 0.739476 | 124 | 1,259 | 7.508065 | 0.58871 | 0.051557 | 0.045113 | 0.077336 | 0.087003 | 0 | 0 | 0 | 0 | 0 | 0 | 0.28247 | 0.125496 | 1,259 | 30 | 96 | 41.966667 | 0.563124 | 0.233519 | 0 | 0 | 0 | 0.066667 | 0.603358 | 0.402938 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
fe31dc92f1a8e9b56db3aeec0dc878cfc7a1be4b | 121 | py | Python | pynwm/__init__.py | rileyhales/pynwm | 09e26de839a749c7e4ae8ffc1da5c511188574b6 | [
"BSD-3-Clause-Clear"
] | 2 | 2021-08-23T21:48:33.000Z | 2021-08-24T01:09:38.000Z | pynwm/__init__.py | rileyhales/pynwm | 09e26de839a749c7e4ae8ffc1da5c511188574b6 | [
"BSD-3-Clause-Clear"
] | null | null | null | pynwm/__init__.py | rileyhales/pynwm | 09e26de839a749c7e4ae8ffc1da5c511188574b6 | [
"BSD-3-Clause-Clear"
] | null | null | null | import pynwm.data_service
__all__ = ['data_service']
__author__ = 'Riley Chad Hales'
__license__ = 'BSD 3-Clause Clear'
| 20.166667 | 34 | 0.760331 | 16 | 121 | 4.875 | 0.875 | 0.282051 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009524 | 0.132231 | 121 | 5 | 35 | 24.2 | 0.733333 | 0 | 0 | 0 | 0 | 0 | 0.380165 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
fe391a366e883b1fc151333c6038b628d988d4c2 | 578 | py | Python | dolo/__init__.py | christophe-gouel/dolo | d9aef6d78d19899e2669e49ee6b7ad9aacf0e35d | [
"BSD-2-Clause"
] | null | null | null | dolo/__init__.py | christophe-gouel/dolo | d9aef6d78d19899e2669e49ee6b7ad9aacf0e35d | [
"BSD-2-Clause"
] | null | null | null | dolo/__init__.py | christophe-gouel/dolo | d9aef6d78d19899e2669e49ee6b7ad9aacf0e35d | [
"BSD-2-Clause"
] | null | null | null | from dolo.version import __version_info__, __version__
from dolo.config import *
from dolo.numeric.simulations import simulate, plot_decision_rule
from dolo.symbolic.symbolic import Variable, Parameter, Shock, Equation
from dolo.misc.modfile import dynare_import
from dolo.misc.yamlfile import yaml_import
from dolo.numeric.perturbations import solve_decision_rule
from dolo.numeric.decision_rules import DynareDecisionRule
from dolo.numeric.perturbations_to_states import approximate_controls
from dolo.numeric.global_solve import global_solve
from misc.commands import *
| 34 | 71 | 0.861592 | 79 | 578 | 6.037975 | 0.405063 | 0.167715 | 0.157233 | 0.08805 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.093426 | 578 | 16 | 72 | 36.125 | 0.910305 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
fe508939f09816706b65e3fdd006edcd9eb743f7 | 21 | py | Python | python3/vimspector/global_filetype.py | chinnkarahoi/vimspector | 133b6978983cec3888ac7444d8c56bd5126eb944 | [
"Apache-2.0"
] | null | null | null | python3/vimspector/global_filetype.py | chinnkarahoi/vimspector | 133b6978983cec3888ac7444d8c56bd5126eb944 | [
"Apache-2.0"
] | null | null | null | python3/vimspector/global_filetype.py | chinnkarahoi/vimspector | 133b6978983cec3888ac7444d8c56bd5126eb944 | [
"Apache-2.0"
] | null | null | null | GLOBAL_FILETYPE = ''
| 10.5 | 20 | 0.714286 | 2 | 21 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 21 | 1 | 21 | 21 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
fe50a3a09c5fcca97ca553da8af516f3ab3af6c9 | 341 | py | Python | basic_algorithms/sum_multidimensional_list.py | pariaagharabi/python-basics | 4b10d7c13e071c21d3be9e8ffe998fe72b4e04c9 | [
"MIT"
] | null | null | null | basic_algorithms/sum_multidimensional_list.py | pariaagharabi/python-basics | 4b10d7c13e071c21d3be9e8ffe998fe72b4e04c9 | [
"MIT"
] | null | null | null | basic_algorithms/sum_multidimensional_list.py | pariaagharabi/python-basics | 4b10d7c13e071c21d3be9e8ffe998fe72b4e04c9 | [
"MIT"
] | null | null | null | def sum_multidimensional_list_v1(lst):
sum_nums = 0
for row in range(len(lst)):
for col in range(len(lst[row])):
sum_nums += lst[row][col]
return sum_nums
def sum_multidimensional_list_v2(lst):
sum_nums = 0
for row in lst:
for col in row:
sum_nums += col
return sum_nums
| 17.947368 | 40 | 0.601173 | 53 | 341 | 3.641509 | 0.301887 | 0.217617 | 0.227979 | 0.26943 | 0.196891 | 0.196891 | 0.196891 | 0 | 0 | 0 | 0 | 0.017021 | 0.31085 | 341 | 18 | 41 | 18.944444 | 0.804255 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
fe6b531403786071c3b76a7bddae931c438c2493 | 33 | py | Python | haul3/haul/platforms/webos/__init__.py | hotkeymuc/haul | 22533491e3a22ce9fabd81f281282a09880b400c | [
"MIT"
] | 2 | 2021-07-04T13:00:50.000Z | 2022-03-19T21:39:06.000Z | haul3/haul/platforms/webos/__init__.py | hotkeymuc/haul | 22533491e3a22ce9fabd81f281282a09880b400c | [
"MIT"
] | null | null | null | haul3/haul/platforms/webos/__init__.py | hotkeymuc/haul | 22533491e3a22ce9fabd81f281282a09880b400c | [
"MIT"
] | null | null | null | __all__ = [
'builder_webos',
] | 11 | 18 | 0.606061 | 3 | 33 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.212121 | 33 | 3 | 19 | 11 | 0.576923 | 0 | 0 | 0 | 0 | 0 | 0.40625 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
fe6f14196a3977d4f8dbacbf51633eb1315ab130 | 188 | py | Python | notebook/feature/category.py | wakamezake/kaggle-snippets | fa933e7c9a485213957fffe68bb326e37cdea7b1 | [
"MIT"
] | 6 | 2019-11-01T00:21:38.000Z | 2020-07-27T06:40:41.000Z | notebook/feature/category.py | wakamezake/kaggle-snippets | fa933e7c9a485213957fffe68bb326e37cdea7b1 | [
"MIT"
] | null | null | null | notebook/feature/category.py | wakamezake/kaggle-snippets | fa933e7c9a485213957fffe68bb326e37cdea7b1 | [
"MIT"
] | 2 | 2019-12-02T08:19:55.000Z | 2019-12-05T08:53:24.000Z | import category_encoders as cat_enc
def target_encoding_with_catboost(cols, x, y):
encoder = cat_enc.CatBoostEncoder(cols=cols)
encoder.fit(x, y)
return encoder.transform(x)
| 23.5 | 48 | 0.755319 | 28 | 188 | 4.857143 | 0.678571 | 0.088235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.154255 | 188 | 7 | 49 | 26.857143 | 0.855346 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.6 | 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 | 1 | 0 | 0 | 3 |
fe7510e352975ddcc8e5bda1c00c34105c4726e7 | 553 | py | Python | tests/games/test_prime.py | znhv/winsio | 4d4e69961285ea3dcebc5ad6358e2d753d6b4f9d | [
"MIT"
] | null | null | null | tests/games/test_prime.py | znhv/winsio | 4d4e69961285ea3dcebc5ad6358e2d753d6b4f9d | [
"MIT"
] | null | null | null | tests/games/test_prime.py | znhv/winsio | 4d4e69961285ea3dcebc5ad6358e2d753d6b4f9d | [
"MIT"
] | null | null | null | from brainstorm.games import prime
def test_is_prime():
actual = prime.is_prime(4)
assert actual == "no"
actual = prime.is_prime(3)
assert actual == "yes"
def test_is_prime_type():
actual = prime.is_prime(8)
assert isinstance(actual, str)
def test_generate_number_type():
actual = prime.generate_number()
assert isinstance(actual, int)
def test_generate_round():
actual = prime.generate_round()
assert isinstance(actual, tuple)
assert isinstance(actual[0], int)
assert isinstance(actual[1], str)
| 20.481481 | 37 | 0.698011 | 74 | 553 | 5.013514 | 0.337838 | 0.09434 | 0.296496 | 0.145553 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011211 | 0.19349 | 553 | 26 | 38 | 21.269231 | 0.820628 | 0 | 0 | 0 | 0 | 0 | 0.009042 | 0 | 0 | 0 | 0 | 0 | 0.411765 | 1 | 0.235294 | false | 0 | 0.058824 | 0 | 0.294118 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
fe86d3ef23adb529cd0a75ef699e7fbdc843b42d | 524 | py | Python | socialapp/models.py | surajsonee/socialapp | e741d2467e2bbde5b7bdbe90702e4123ce31bddb | [
"BSD-3-Clause"
] | null | null | null | socialapp/models.py | surajsonee/socialapp | e741d2467e2bbde5b7bdbe90702e4123ce31bddb | [
"BSD-3-Clause"
] | null | null | null | socialapp/models.py | surajsonee/socialapp | e741d2467e2bbde5b7bdbe90702e4123ce31bddb | [
"BSD-3-Clause"
] | null | null | null | from __future__ import unicode_literals
from django.db import models
# Create your models here.
class Registration(models.Model):
title = models.CharField(max_length=200)
newstext = models.CharField(max_length=200)
newsvideourl = models.CharField(max_length=200)
fburl = models.CharField(max_length=200)
twiterurl = models.CharField(max_length=200)
youtubeurl = models.CharField(max_length=200)
def __unicode__(self):
#function returns unicode representaion of a task
return self.title
| 27.578947 | 50 | 0.763359 | 67 | 524 | 5.746269 | 0.492537 | 0.233766 | 0.280519 | 0.374026 | 0.420779 | 0 | 0 | 0 | 0 | 0 | 0 | 0.040724 | 0.156489 | 524 | 18 | 51 | 29.111111 | 0.830317 | 0.137405 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.181818 | 0.090909 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
2286e0ef2be6e4038ef8777ec429ffd62cd942ed | 508 | py | Python | sympy/codegen/abstract_nodes.py | Michal-Gagala/sympy | 3cc756c2af73b5506102abaeefd1b654e286e2c8 | [
"MIT"
] | null | null | null | sympy/codegen/abstract_nodes.py | Michal-Gagala/sympy | 3cc756c2af73b5506102abaeefd1b654e286e2c8 | [
"MIT"
] | null | null | null | sympy/codegen/abstract_nodes.py | Michal-Gagala/sympy | 3cc756c2af73b5506102abaeefd1b654e286e2c8 | [
"MIT"
] | null | null | null | """This module provides containers for python objects that are valid
printing targets but are not a subclass of SymPy's Printable.
"""
from sympy.core.containers import Tuple
class List(Tuple):
"""Represents a (frozen) (Python) list (for code printing purposes)."""
def __eq__(self, other):
if isinstance(other, list):
return self == List(*other)
else:
return self.args == other
def __hash__(self):
return super().__hash__()
| 26.736842 | 76 | 0.627953 | 62 | 508 | 4.951613 | 0.66129 | 0.065147 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.271654 | 508 | 18 | 77 | 28.222222 | 0.82973 | 0.379921 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.111111 | 0.111111 | 0.777778 | 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 | 1 | 0 | 0 | 3 |
2293e2bfd2d92ca1ef3196371bbcf21d62aeac4b | 473 | py | Python | unttst.py | BalayetRony/Python_CI_Demo | 527c451450572f8dbe306380f06f857f1c862b58 | [
"MIT"
] | null | null | null | unttst.py | BalayetRony/Python_CI_Demo | 527c451450572f8dbe306380f06f857f1c862b58 | [
"MIT"
] | null | null | null | unttst.py | BalayetRony/Python_CI_Demo | 527c451450572f8dbe306380f06f857f1c862b58 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Nov 7 12:06:34 2018
@author: mdb99
"""
import unittest
from inc import inc
# import inc
class MyTest(unittest.TestCase):
def test_my_function(self):
self.assertEqual(inc(0), 1)
self.assertEqual(inc(100), 101)
self.assertEqual(inc(1), 2)
self.assertEqual(inc(-1), 0)
self.assertEqual(inc(3), 4)
if __name__ == '__main__':
unittest.main()
| 22.52381 | 40 | 0.570825 | 61 | 473 | 4.262295 | 0.606557 | 0.288462 | 0.346154 | 0.146154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 0.289641 | 473 | 20 | 41 | 23.65 | 0.690476 | 0.179704 | 0 | 0 | 0 | 0 | 0.022284 | 0 | 0 | 0 | 0 | 0 | 0.454545 | 1 | 0.090909 | false | 0 | 0.181818 | 0 | 0.363636 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
229789742107656c95a0fc4f14ca908bbf36fc4b | 3,638 | py | Python | AppDB/test/unit/test_backup_recovery_helper.py | HafeezRai/appscale | 08c02c4ad21541bf107c7c059a42b1f544d92cd5 | [
"Apache-2.0"
] | null | null | null | AppDB/test/unit/test_backup_recovery_helper.py | HafeezRai/appscale | 08c02c4ad21541bf107c7c059a42b1f544d92cd5 | [
"Apache-2.0"
] | 1 | 2019-10-15T15:57:53.000Z | 2019-10-15T15:57:53.000Z | AppDB/test/unit/test_backup_recovery_helper.py | HafeezRai/appscale | 08c02c4ad21541bf107c7c059a42b1f544d92cd5 | [
"Apache-2.0"
] | 1 | 2019-08-27T05:19:48.000Z | 2019-08-27T05:19:48.000Z | #!/usr/bin/env python
import os
import tarfile
import unittest
from flexmock import flexmock
from appscale.datastore.backup import backup_recovery_helper
class FakeTar():
def __init__(self):
self.add_count = 0
def add(self, name):
self.add_count += 1
def close(self):
pass
class TestBRHelper(unittest.TestCase):
""" A set of test cases for the BR helper functions. """
def test_delete_local_backup_file(self):
flexmock(backup_recovery_helper).should_receive('remove').\
and_return().times(1)
backup_recovery_helper.delete_local_backup_file('foo')
def test_delete_secondary_backup(self):
flexmock(backup_recovery_helper).should_receive('remove').\
and_return().times(1)
backup_recovery_helper.delete_secondary_backup('foo')
def test_does_file_exist(self):
flexmock(os.path).should_receive('isfile').and_return().at_least().times(1)
backup_recovery_helper.does_file_exist('foo')
def test_enough_disk_space(self):
# Test with inadequate disk space.
flexmock(backup_recovery_helper).should_receive(
'get_available_disk_space').and_return(1)
flexmock(backup_recovery_helper).should_receive(
'get_backup_size').and_return(2)
self.assertEquals(False, backup_recovery_helper.enough_disk_space('foo'))
# Test with adequate disk space available.
flexmock(backup_recovery_helper).should_receive(
'get_available_disk_space').and_return(2)
flexmock(backup_recovery_helper).should_receive(
'get_backup_size').and_return(1)
self.assertEquals(True, backup_recovery_helper.enough_disk_space('foo'))
def test_get_available_disk_space(self):
pass
def test_get_backup_size(self):
pass
def test_get_snapshot_paths(self):
os_mock = flexmock(os)
os_mock.should_call('walk')
os_mock.should_receive('walk').and_yield(('/snapshots/xxx', ['dirname'],
'')).once()
self.assertEquals(['/snapshots/xxx'],
backup_recovery_helper.get_snapshot_paths('cassandra'))
# Test with no files present that match the filters.
self.assertEquals([], backup_recovery_helper.get_snapshot_paths('foo'))
def test_move_secondary_backup(self):
flexmock(backup_recovery_helper).should_receive("rename").\
and_return().times(1)
backup_recovery_helper.move_secondary_backup('foo')
def test_mkdir(self):
flexmock(os).should_receive('mkdir').and_return().at_least().times(1)
self.assertEquals(True, backup_recovery_helper.mkdir('foo'))
flexmock(os).should_receive('mkdir').and_raise(OSError)
self.assertEquals(False, backup_recovery_helper.mkdir('foo'))
def test_rename(self):
flexmock(os).should_receive('rename').and_return().at_least().times(1)
self.assertEquals(True, backup_recovery_helper.rename('foo', 'bar'))
flexmock(os).should_receive('rename').and_raise(OSError)
self.assertEquals(False, backup_recovery_helper.rename('foo', 'bar'))
def test_remove(self):
flexmock(os).should_receive('remove').and_return().at_least().times(1)
self.assertEquals(True, backup_recovery_helper.remove('foo'))
flexmock(os).should_receive('remove').and_raise(OSError)
self.assertEquals(False, backup_recovery_helper.remove('foo'))
def test_tar_backup_files(self):
flexmock(backup_recovery_helper).should_receive("rename").and_return(True)
fake_tar = FakeTar()
flexmock(tarfile).should_receive('open').and_return(fake_tar)
backup_recovery_helper.tar_backup_files(['1', '2'], 'some/tar')
self.assertEquals(fake_tar.add_count, 2)
def test_untar_backup_files(self):
pass
if __name__ == "__main__":
unittest.main()
| 33.685185 | 79 | 0.74519 | 489 | 3,638 | 5.192229 | 0.200409 | 0.132336 | 0.189051 | 0.088224 | 0.607326 | 0.54746 | 0.42497 | 0.376526 | 0.376526 | 0.298543 | 0 | 0.005038 | 0.126993 | 3,638 | 107 | 80 | 34 | 0.794395 | 0.053601 | 0 | 0.171053 | 0 | 0 | 0.076027 | 0.013982 | 0 | 0 | 0 | 0 | 0.144737 | 1 | 0.210526 | false | 0.052632 | 0.065789 | 0 | 0.302632 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
22a14c1946f08e118d2e7e3fb39d2866526ce1e2 | 368 | py | Python | tests/common.py | eaudeweb/htables | d54ab389c1b3ce4ac4f496dddaa55334e330a77d | [
"BSD-2-Clause"
] | null | null | null | tests/common.py | eaudeweb/htables | d54ab389c1b3ce4ac4f496dddaa55334e330a77d | [
"BSD-2-Clause"
] | null | null | null | tests/common.py | eaudeweb/htables | d54ab389c1b3ce4ac4f496dddaa55334e330a77d | [
"BSD-2-Clause"
] | null | null | null | import unittest2 as unittest
import tempfile
from path import path
class TestCase(unittest.TestCase):
def preSetUp(self):
pass
def __call__(self, result=None):
self.preSetUp()
super(TestCase, self).__call__(result)
def tmpdir(self):
tmp = path(tempfile.mkdtemp())
self.addCleanup(tmp.rmtree)
return tmp
| 19.368421 | 46 | 0.652174 | 43 | 368 | 5.395349 | 0.534884 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00365 | 0.255435 | 368 | 18 | 47 | 20.444444 | 0.843066 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0.076923 | 0.230769 | 0 | 0.615385 | 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 | 1 | 0 | 0 | 3 |
22aa4c6085ea1a37473f9342131d97abdc929c3c | 2,707 | py | Python | pymc3/distributions/dist_math.py | vpolisky/pymc3 | 87cdd712c86321121c2ed3150764f3d847f5083c | [
"Apache-2.0"
] | null | null | null | pymc3/distributions/dist_math.py | vpolisky/pymc3 | 87cdd712c86321121c2ed3150764f3d847f5083c | [
"Apache-2.0"
] | null | null | null | pymc3/distributions/dist_math.py | vpolisky/pymc3 | 87cdd712c86321121c2ed3150764f3d847f5083c | [
"Apache-2.0"
] | 1 | 2021-04-13T10:31:26.000Z | 2021-04-13T10:31:26.000Z | '''
Created on Mar 7, 2011
@author: johnsalvatier
'''
from __future__ import division
import numpy as np
import theano.tensor as tt
from .special import gammaln
def bound(logp, *conditions, **kwargs):
"""
Bounds a log probability density with several conditions.
Parameters
----------
logp : float
*conditions : booleans
broadcast_conditions : bool (optional, default=True)
If True, broadcasts logp to match the largest shape of the conditions.
This is used e.g. in DiscreteUniform where logp is a scalar constant and the shape
is specified via the conditions.
If False, will return the same shape as logp.
This is used e.g. in Multinomial where broadcasting can lead to differences in the logp.
Returns
-------
logp with elements set to -inf where any condition is False
"""
broadcast_conditions = kwargs.get('broadcast_conditions', True)
if broadcast_conditions:
alltrue = alltrue_elemwise
else:
alltrue = alltrue_scalar
return tt.switch(alltrue(conditions), logp, -np.inf)
def alltrue_elemwise(vals):
ret = 1
for c in vals:
ret = ret * (1 * c)
return ret
def alltrue_scalar(vals):
return tt.all([tt.all(1 * val) for val in vals])
def logpow(x, m):
"""
Calculates log(x**m) since m*log(x) will fail when m, x = 0.
"""
# return m * log(x)
return tt.switch(tt.eq(x, 0), -np.inf, m * tt.log(x))
def factln(n):
return gammaln(n + 1)
def binomln(n, k):
return factln(n) - factln(k) - factln(n - k)
def betaln(x, y):
return gammaln(x) + gammaln(y) - gammaln(x + y)
def std_cdf(x):
"""
Calculates the standard normal cumulative distribution function.
"""
return 0.5 + 0.5 * tt.erf(x / tt.sqrt(2.))
def i0(x):
"""
Calculates the 0 order modified Bessel function of the first kind""
"""
return tt.switch(tt.lt(x, 5), 1 + x**2 / 4 + x**4 / 64 + x**6 / 2304 + x**8 / 147456
+ x**10 / 14745600 + x**12 / 2123366400,
np.e**x / (2 * np.pi * x)**0.5 * (1 + 1 / (8 * x) + 9 / (128 * x**2) + 225 / (3072 * x**3)
+ 11025 / (98304 * x**4)))
def i1(x):
"""
Calculates the 1 order modified Bessel function of the first kind""
"""
return tt.switch(tt.lt(x, 5), x / 2 + x**3 / 16 + x**5 / 384 + x**7 / 18432 +
x**9 / 1474560 + x**11 / 176947200 + x**13 / 29727129600,
np.e**x / (2 * np.pi * x)**0.5 * (1 - 3 / (8 * x) + 15 / (128 * x**2) + 315 / (3072 * x**3)
+ 14175 / (98304 * x**4)))
| 27.343434 | 112 | 0.555227 | 393 | 2,707 | 3.791349 | 0.381679 | 0.008054 | 0.037584 | 0.032215 | 0.118121 | 0.118121 | 0.099329 | 0.099329 | 0.099329 | 0.099329 | 0 | 0.090326 | 0.308829 | 2,707 | 98 | 113 | 27.622449 | 0.70604 | 0.338382 | 0 | 0 | 0 | 0 | 0.012077 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.263158 | false | 0 | 0.105263 | 0.105263 | 0.631579 | 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 | 1 | 0 | 0 | 3 |
22b9ebf9f771c761b6075f8aa78d868f2386e9f5 | 1,997 | py | Python | sshpipe/sshpipe/lib/subprocess/sshsubprocessclient.py | Acrisel/sshpipe | b809b151588b315720dd9c4b623592c02e041457 | [
"BSD-3-Clause"
] | null | null | null | sshpipe/sshpipe/lib/subprocess/sshsubprocessclient.py | Acrisel/sshpipe | b809b151588b315720dd9c4b623592c02e041457 | [
"BSD-3-Clause"
] | null | null | null | sshpipe/sshpipe/lib/subprocess/sshsubprocessclient.py | Acrisel/sshpipe | b809b151588b315720dd9c4b623592c02e041457 | [
"BSD-3-Clause"
] | null | null | null | # -*- encoding: utf-8 -*-
##############################################################################
#
# Acrisel LTD
# Copyright (C) 2008- Acrisel (acrisel.com) . All Rights Reserved
#
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program 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.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see http://www.gnu.org/licenses/.
#
##############################################################################
'''
Created on Oct 10, 2017
@author: arnon
'''
from .. import pipe_listener_forever
import multiprocessing as mp
import threading as th
import logging
import os
from acrilib import LevelBasedFormatter, LoggerAddHostFilter
from .. import SSHPipeHandler
import signal
import sys
#from acrilib import LogSim
module_logger = logging.getLogger()
class SSHSubprocessClient(SSHPipeHandler):
""" Pipe remote client wish message handler"""
def __init__(self, cmd=[], calling_host=None, callback_port=None, *args, **kwargs):
pass
def cmdargs():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--host', type=str, default='127.0.0.1', required=False,
help='')
parser.add_argument('--port', type=int, required=True,
help='')
args = parser.parse_args()
return vars(args)
if __name__ == '__main__':
args = cmdargs()
# TODO: add command line options
client = SSHSubprocessClient(**args)
client.service_loop()
| 30.723077 | 87 | 0.631447 | 237 | 1,997 | 5.232068 | 0.64135 | 0.026613 | 0.031452 | 0.045968 | 0.066129 | 0.045161 | 0 | 0 | 0 | 0 | 0 | 0.011364 | 0.20681 | 1,997 | 64 | 88 | 31.203125 | 0.771465 | 0.441162 | 0 | 0.076923 | 0 | 0 | 0.031317 | 0 | 0 | 0 | 0 | 0.015625 | 0 | 1 | 0.076923 | false | 0.038462 | 0.384615 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
22c9cb4c6227e35d4eeb173c4e43a94f537f02c9 | 14 | py | Python | wsdd/__init__.py | anodos325/wsdd | 987d9dc149adad26c56deef34eff818388f8317b | [
"MIT"
] | null | null | null | wsdd/__init__.py | anodos325/wsdd | 987d9dc149adad26c56deef34eff818388f8317b | [
"MIT"
] | null | null | null | wsdd/__init__.py | anodos325/wsdd | 987d9dc149adad26c56deef34eff818388f8317b | [
"MIT"
] | null | null | null | name = "wsdd"
| 7 | 13 | 0.571429 | 2 | 14 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.214286 | 14 | 1 | 14 | 14 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
22d68cdcfb54f3f9bc897a6a7ce9e9ef26e44800 | 1,513 | py | Python | bowlingKata02/test.py | MikeAWilliams/LearnPython | 56fa39c9c3281a3b14f1899361f5f732f159032a | [
"MIT"
] | null | null | null | bowlingKata02/test.py | MikeAWilliams/LearnPython | 56fa39c9c3281a3b14f1899361f5f732f159032a | [
"MIT"
] | null | null | null | bowlingKata02/test.py | MikeAWilliams/LearnPython | 56fa39c9c3281a3b14f1899361f5f732f159032a | [
"MIT"
] | null | null | null | import unittest
import bowling
class BowlingTest(unittest.TestCase):
def test_no_strike_no_spare(self):
frames = [[1, 1], [1, 1], [1, 1], [1, 1], [1, 1],
[1, 1], [1, 1], [1, 1], [1, 1], [1, 1, 0]]
self.assertEqual(20, bowling.CalculateScore(frames))
def test_strikes_no_spare_no_consecutive_strikes(self):
frames = [[10, 0], [1, 1], [10, 0], [1, 1], [1, 1],
[1, 1], [1, 1], [1, 1], [1, 1], [1, 1, 0]]
self.assertEqual(16 + 20 + 4, bowling.CalculateScore(frames))
def test_strikes_no_spare_consecutive_strikes(self):
frames = [[10, 0], [10, 0], [10, 0], [1, 1], [1, 1],
[1, 1], [1, 1], [1, 1], [1, 1], [1, 1, 0]]
self.assertEqual(14 + 30 + 21 + 12, bowling.CalculateScore(frames))
def test_perfect_game(self):
frames = [[10, 0], [10, 0], [10, 0], [10, 0], [10, 0],
[10, 0], [10, 0], [10, 0], [10, 0], [10, 10, 10]]
self.assertEqual(300, bowling.CalculateScore(frames))
def test_spare_no_strike(self):
frames = [[9, 1], [1, 1], [9, 1], [1, 1], [1, 1],
[1, 1], [1, 1], [1, 1], [1, 1], [1, 1, 0]]
self.assertEqual(16 + 20 + 2, bowling.CalculateScore(frames))
def test_all_spare(self):
frames = [[9, 1], [9, 1], [9, 1], [9, 1], [9, 1],
[9, 1], [9, 1], [9, 1], [9, 1], [9, 1, 9]]
self.assertEqual(190, bowling.CalculateScore(frames))
if __name__ == '__main__':
unittest.main()
| 37.825 | 75 | 0.493721 | 228 | 1,513 | 3.144737 | 0.162281 | 0.172943 | 0.23431 | 0.284519 | 0.647141 | 0.504881 | 0.436541 | 0.436541 | 0.266388 | 0.266388 | 0 | 0.155904 | 0.283543 | 1,513 | 39 | 76 | 38.794872 | 0.505535 | 0 | 0 | 0.137931 | 0 | 0 | 0.005288 | 0 | 0 | 0 | 0 | 0 | 0.206897 | 1 | 0.206897 | false | 0 | 0.068966 | 0 | 0.310345 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
22e08c46f6c2d6d82c6d6817bcbd8897dbc46006 | 1,199 | py | Python | apps/dev/models.py | edilio/developer | 2c2a412cd83bf739b4a918786899bc2c9378787b | [
"MIT"
] | null | null | null | apps/dev/models.py | edilio/developer | 2c2a412cd83bf739b4a918786899bc2c9378787b | [
"MIT"
] | null | null | null | apps/dev/models.py | edilio/developer | 2c2a412cd83bf739b4a918786899bc2c9378787b | [
"MIT"
] | null | null | null | from django.db import models
from django.utils.translation import gettext_lazy as _
class Technology(models.Model):
name = models.CharField(max_length=40)
class Meta:
verbose_name_plural = _("Technologies")
def __unicode__(self):
return self.name
class DevModule(models.Model):
name = models.CharField(max_length=20)
PH = models.BooleanField(default=False)
S8 = models.BooleanField(default=False)
PBS8 = models.BooleanField(default=False)
class Meta:
verbose_name_plural = _('Modules')
@property
def submodules(self):
subs = [s.name for s in self.submodule_set.all()]
return ','.join(subs)
def __unicode__(self):
return self.name
class SubModule(models.Model):
name = models.CharField(max_length=20, verbose_name='Sub-Module')
dev_module = models.ForeignKey(DevModule,db_column=u'module_id',verbose_name='Module')
PH = models.BooleanField(default=False)
S8 = models.BooleanField(default=False)
PBS8 = models.BooleanField(default=False)
technology = models.ForeignKey(Technology)
def __unicode__(self):
return self.name | 28.547619 | 91 | 0.677231 | 141 | 1,199 | 5.553191 | 0.368794 | 0.137931 | 0.191571 | 0.229885 | 0.591315 | 0.524904 | 0.489144 | 0.355045 | 0.250319 | 0.250319 | 0 | 0.010695 | 0.220183 | 1,199 | 42 | 92 | 28.547619 | 0.826738 | 0 | 0 | 0.466667 | 0 | 0 | 0.038827 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.066667 | 0.1 | 0.866667 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
22e66a201835e659c39511d3fe1b136e375917a9 | 1,677 | py | Python | ltl/fake_pyzz.py | sterin/ltl | 27221dfe83406ca6c62a8f20f6e7f5963cd3ecb5 | [
"MIT-0"
] | null | null | null | ltl/fake_pyzz.py | sterin/ltl | 27221dfe83406ca6c62a8f20f6e7f5963cd3ecb5 | [
"MIT-0"
] | null | null | null | ltl/fake_pyzz.py | sterin/ltl | 27221dfe83406ca6c62a8f20f6e7f5963cd3ecb5 | [
"MIT-0"
] | null | null | null | from pyaig import *
class netlist(object):
def __init__(self, aig=None):
self.aig = aig or AIG()
def add_Flop(self):
return aigexpr.create_latch(self.aig)
def add_PI(self):
return aigexpr.create_pi(self.aig)
def get_True(self):
return aigexpr.const(self.aig, 1)
def get_False(self):
return aigexpr.const(self.aig, 0)
def write_aiger(self, fname):
write_aiger(self.aig, fname)
def po_symbols(self):
return { po_name:aigexpr(self.aig, po_fanin) for _, po_fanin, po_name in self.aig.iter_po_names() }
@staticmethod
def read_aiger(ff):
return netlist(read_aiger(ff))
def conjunction(N, fs):
return aigexpr(N.aig, N.aig.balanced_conjunction([f.get_f() for f in fs]))
def somepast(N, x):
ff = N.add_Flop()
next_ff = ff | x
ff[0] = next_ff
return next_ff, ff
class verification_instance(object):
def __init__(self, N=None, symbols=None, init_constraints=None, constraints=None, pos=None, fairnesses=None, init = None):
self.N = N or netlist()
self.symbols = symbols or N.po_symbols()
self._init = init
self.init_constraints = init_constraints or []
self.constraints = constraints or []
self.pos = pos or []
self.fairnesses = fairnesses or []
@property
def init(self):
return self.get_init()
def get_init(self):
if not self._init:
ff = self.N.add_Flop()
ff[0] = self.N.get_True()
self._init = ~ff
self.symbols['_IS_INIT'] = self._init
return self._init
| 23.957143 | 126 | 0.599284 | 232 | 1,677 | 4.125 | 0.241379 | 0.065831 | 0.071055 | 0.035528 | 0.060606 | 0.060606 | 0 | 0 | 0 | 0 | 0 | 0.003353 | 0.288611 | 1,677 | 69 | 127 | 24.304348 | 0.798826 | 0 | 0 | 0 | 0 | 0 | 0.00477 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.288889 | false | 0 | 0.022222 | 0.177778 | 0.577778 | 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 | 1 | 0 | 0 | 3 |
22e8f0756c12de365617e416b875a1fb6f95e9b2 | 460 | py | Python | planner/sitemaps.py | pmontgo33/lawn-care-planner | 0b79a07a301eeb9a15ff1f4f461bdd364151f86a | [
"MIT"
] | 7 | 2016-12-07T18:34:42.000Z | 2021-08-03T15:22:35.000Z | planner/sitemaps.py | pmontgo33/lawn-care-planner | 0b79a07a301eeb9a15ff1f4f461bdd364151f86a | [
"MIT"
] | 35 | 2016-11-23T15:40:46.000Z | 2017-05-18T22:58:17.000Z | planner/sitemaps.py | pmontgo33/lawn-care-planner | 0b79a07a301eeb9a15ff1f4f461bdd364151f86a | [
"MIT"
] | 1 | 2017-04-13T15:13:01.000Z | 2017-04-13T15:13:01.000Z | """
sitemap.py
This code uses the Django documentation for static views:
https://docs.djangoproject.com/en/1.10/ref/contrib/sitemaps/
"""
# import statements
from django.contrib import sitemaps
from django.urls import reverse
class StaticViewSitemap(sitemaps.Sitemap):
priority = 0.5
changefreq = 'daily'
def items(self):
return ['index', 'lawn_new', 'lawn_list', 'feedback']
def location(self, item):
return reverse(item) | 21.904762 | 61 | 0.706522 | 59 | 460 | 5.474576 | 0.745763 | 0.06192 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013193 | 0.176087 | 460 | 21 | 62 | 21.904762 | 0.83905 | 0.323913 | 0 | 0 | 0 | 0 | 0.115132 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.222222 | 0.222222 | 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 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
22fc2c8df503063225edfb47375635fc7ddba96d | 7,473 | py | Python | pybitcoin/keypair.py | SmartCash/pybitcoin | c88f4b13591252210193536d81ccf16142cfae30 | [
"MIT"
] | 1 | 2021-01-24T18:29:59.000Z | 2021-01-24T18:29:59.000Z | pybitcoin/keypair.py | leoreinaux/pybitcoin | c88f4b13591252210193536d81ccf16142cfae30 | [
"MIT"
] | null | null | null | pybitcoin/keypair.py | leoreinaux/pybitcoin | c88f4b13591252210193536d81ccf16142cfae30 | [
"MIT"
] | 1 | 2019-05-23T03:02:03.000Z | 2019-05-23T03:02:03.000Z | # -*- coding: utf-8 -*-
"""
pybitcoin
~~~~~
:copyright: (c) 2014 by Halfmoon Labs
:license: MIT, see LICENSE for more details.
"""
import os
import json
import binascii
import ecdsa
import hashlib
from .privatekey import random_secret_exponent
from .b58check import b58check_encode, b58check_decode, b58check_unpack, \
b58check_version_byte
from .errors import _errors
from .hash import bin_hash160
from .formatcheck import is_int, is_256bit_hex_string, is_wif_pk, \
is_secret_exponent
from .passphrases import create_passphrase
class BitcoinKeypair():
""" NOTE: This object has been replaced by the BitcoinPrivateKey and
BitcoinPublicKey objects and is set to be deprecated at a future date.
"""
_curve = ecdsa.curves.SECP256k1
_hash_function = hashlib.sha256
_pubkeyhash_version_byte = 0
@classmethod
def version_byte(cls, type='pubkey_hash'):
if type == 'pubkey_hash':
return cls._pubkeyhash_version_byte
elif type == 'private_key':
return (cls._pubkeyhash_version_byte + 128) % 256
else:
raise Exception("type must be 'pubkey_hash' or 'privatekey'")
def __init__(self, private_key=None):
""" Takes in a private key/secret exponent.
"""
if not private_key:
secret_exponent = random_secret_exponent(self._curve.order)
elif is_int(private_key):
secret_exponent = private_key
elif is_256bit_hex_string(private_key):
secret_exponent = int(private_key, 16)
elif is_wif_pk(private_key):
secret_exponent = int(
binascii.hexlify(b58check_decode(private_key)), 16)
# make sure that: 1 <= secret_exponent < curve_order
if not is_secret_exponent(secret_exponent, self._curve.order):
raise IndexError(_errors["EXPONENT_OUTSIDE_CURVE_ORDER"])
self._ecdsa_private_key = ecdsa.keys.SigningKey.from_secret_exponent(
secret_exponent, self._curve, self._hash_function
)
self._ecdsa_public_key = self._ecdsa_private_key.get_verifying_key()
@classmethod
def from_private_key(cls, private_key=None):
return cls(private_key)
@classmethod
def from_passphrase(cls, passphrase=None):
""" Create keypair from a passphrase input (a brain wallet keypair)."""
if not passphrase:
# run a rejection sampling algorithm to ensure the private key is
# less than the curve order
while True:
passphrase = create_passphrase(bits_of_entropy=160)
hex_private_key = hashlib.sha256(passphrase).hexdigest()
if int(hex_private_key, 16) < cls._curve.order:
break
else:
hex_private_key = hashlib.sha256(passphrase).hexdigest()
if not (int(hex_private_key, 16) < cls._curve.order):
raise ValueError(_errors["PHRASE_YIELDS_INVALID_EXPONENT"])
keypair = cls(hex_private_key)
keypair._passphrase = passphrase
return keypair
def _bin_private_key(self):
return self._ecdsa_private_key.to_string()
def _bin_public_key(self, prefix=True):
ecdsa_public_key = self._ecdsa_public_key.to_string()
if prefix:
return '\x04' + ecdsa_public_key
return ecdsa_public_key
def _bin_hash160(self):
return bin_hash160(self._bin_public_key())
def private_key(self, format='hex'):
if format == 'bin':
return self._bin_private_key()
elif format == 'hex':
return binascii.hexlify(self._bin_private_key())
elif format == 'wif' or format == 'b58check':
return b58check_encode(
self._bin_private_key(),
version_byte=self.version_byte('private_key'))
else:
raise ValueError(_errors["MUST_BE_VALID_PRIVKEY_FORMAT"])
def public_key(self, format='hex'):
if format == 'bin':
return self._bin_public_key()
elif format == 'hex':
return binascii.hexlify(self._bin_public_key())
else:
raise ValueError(_errors["MUST_BE_VALID_PUBKEY_FORMAT"])
def hash160(self, format='hex'):
if format == 'bin':
return self._bin_hash160()
elif format == 'hex':
return binascii.hexlify(self._bin_hash160())
elif format == 'b58check':
return b58check_encode(
self._bin_hash160(),
version_byte=self.version_byte('pubkey_hash'))
else:
raise ValueError(_errors["MUST_BE_VALID_HASH160_FORMAT"])
def secret_exponent(self):
""" The secret exponent is the private key in int or hex format. """
return self.private_key('hex')
def wif_pk(self):
""" The "wif pk" is the private key in wallet import format. """
return self.private_key('wif')
def address(self):
""" The address is the hash160 in b58check format. """
return self.hash160('b58check')
""" Brain wallet address methods """
def passphrase(self):
if hasattr(self, '_passphrase'):
return self._passphrase
else:
raise Exception(_errors["NOT_A_BRAIN_WALLET"])
class LitecoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 48
class SmartcashKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 63
class NamecoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 52
class PeercoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 55
class PrimecoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 23
class DogecoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 30
class WorldcoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 73
class FeathercoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 14
class TerracoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 0
class NovacoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 8
class IxcoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 138
class TestnetKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 111
class ProtosharesKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 56
class MemorycoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 50
class QuarkcoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 58
class InfinitecoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 102
class CryptogenicbullionKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 11
class AnoncoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 23
class MegacoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 50
class EarthcoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 93
class NetcoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 112
class HuntercoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 40
class VertcoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 71
class ReddcoinKeypair(BitcoinKeypair):
_pubkeyhash_version_byte = 61
# TO DO:
# auroracoin
# counterparty
# darkcoin
# ybcoin
# maxcoin
# mintcoin
# devcoin
# tickets
# freicoin
# zetacoin
# digitalcoin
# copperlark
# applecoin
# unobtanium
# fedoracoin
# cachecoin
# mincoin
# ultracoin
# colossuscoin
# blackcoin
# securecoin
# gridcoin
# billioncoin
# kittehcoin
# karmacoin
# mooncoin
# sexcoin
| 27.076087 | 79 | 0.684866 | 831 | 7,473 | 5.837545 | 0.259928 | 0.07483 | 0.116883 | 0.17316 | 0.25067 | 0.178726 | 0.123274 | 0.098949 | 0.042259 | 0.016491 | 0 | 0.026044 | 0.234444 | 7,473 | 275 | 80 | 27.174545 | 0.821884 | 0.127793 | 0 | 0.160256 | 0 | 0 | 0.051897 | 0.022107 | 0 | 0 | 0 | 0 | 0 | 1 | 0.089744 | false | 0.064103 | 0.070513 | 0.019231 | 0.621795 | 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 | 1 | 0 | 0 | 3 |
fe0fa98d1867d58dfce4ae8de3114d529b98ce51 | 4,428 | py | Python | mmd_tools_local/panels/prop_material.py | BlueLament/cats-blender-plugin | 5f240b54424419e44394364ce4a4d307b40ea562 | [
"MIT"
] | 3 | 2018-10-12T05:32:16.000Z | 2020-05-16T16:24:34.000Z | mmd_tools_local/panels/prop_material.py | RoxyBoxxy/cats-blender-plugin | 16e546e9c3ad258a65787e3c148796f5328be7ed | [
"MIT"
] | null | null | null | mmd_tools_local/panels/prop_material.py | RoxyBoxxy/cats-blender-plugin | 16e546e9c3ad258a65787e3c148796f5328be7ed | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from bpy.types import Panel
from mmd_tools_local.core.material import FnMaterial
class MMDMaterialPanel(Panel):
bl_idname = 'MATERIAL_PT_mmd_tools_material'
bl_label = 'MMD Material'
bl_space_type = 'PROPERTIES'
bl_region_type = 'WINDOW'
bl_context = 'material'
@classmethod
def poll(cls, context):
obj = context.active_object
return obj.active_material and obj.mmd_type == 'NONE'
def draw(self, context):
material = context.active_object.active_material
mmd_material = material.mmd_material
layout = self.layout
col = layout.column(align=True)
col.label('Information:')
c = col.column()
r = c.row()
r.prop(mmd_material, 'name_j')
r = c.row()
r.prop(mmd_material, 'name_e')
r = c.row()
r.prop(mmd_material, 'comment')
col = layout.column(align=True)
col.label('Color:')
c = col.column()
r = c.row()
r.prop(mmd_material, 'diffuse_color')
r.prop(mmd_material, 'alpha', slider=True)
r = c.row()
r.prop(mmd_material, 'specular_color')
r.prop(mmd_material, 'shininess', slider=True)
r = c.row()
r.prop(mmd_material, 'ambient_color')
r.label() # for alignment only
col = layout.column(align=True)
col.label('Shadow:')
c = col.column()
r = c.row()
r.prop(mmd_material, 'is_double_sided')
r.prop(mmd_material, 'enabled_drop_shadow')
r = c.row()
r.prop(mmd_material, 'enabled_self_shadow_map')
r.prop(mmd_material, 'enabled_self_shadow')
col = layout.column(align=True)
col.label('Edge:')
c = col.column()
r = c.row()
r.prop(mmd_material, 'enabled_toon_edge')
r = c.row()
r.active = mmd_material.enabled_toon_edge
r.prop(mmd_material, 'edge_color')
r.prop(mmd_material, 'edge_weight', slider=True)
class MMDTexturePanel(Panel):
bl_idname = 'MATERIAL_PT_mmd_tools_texture'
bl_label = 'MMD Texture'
bl_space_type = 'PROPERTIES'
bl_region_type = 'WINDOW'
bl_context = 'material'
@classmethod
def poll(cls, context):
obj = context.active_object
return obj.active_material and obj.mmd_type == 'NONE'
def draw(self, context):
material = context.active_object.active_material
mmd_material = material.mmd_material
layout = self.layout
fnMat = FnMaterial(material)
col = layout.column(align=True)
row = col.row(align=True)
row.label('Texture:')
r = row.column(align=True)
tex = fnMat.get_texture()
if tex:
if tex.type == 'IMAGE' and tex.image:
r2 = r.row(align=True)
r2.prop(tex.image, 'filepath', text='')
r2.operator('mmd_tools.material_remove_texture', text='', icon='PANEL_CLOSE')
else:
r.operator('mmd_tools.material_remove_texture', text='Remove', icon='PANEL_CLOSE')
col.label('Texture is invalid.', icon='ERROR')
else:
r.operator('mmd_tools.material_open_texture', text='Add', icon='FILESEL')
col = layout.column(align=True)
row = col.row(align=True)
row.label('Sphere Texture:')
r = row.column(align=True)
tex = fnMat.get_sphere_texture()
if tex:
if tex.type == 'IMAGE' and tex.image:
r2 = r.row(align=True)
r2.prop(tex.image, 'filepath', text='')
r2.operator('mmd_tools.material_remove_sphere_texture', text='', icon='PANEL_CLOSE')
else:
r.operator('mmd_tools.material_remove_sphere_texture', text='Remove', icon='PANEL_CLOSE')
col.label('Sphere Texture is invalid.', icon='ERROR')
else:
r.operator('mmd_tools.material_open_sphere_texture', text='Add', icon='FILESEL')
r = col.row(align=True)
r.prop(mmd_material, 'sphere_texture_type')
col = layout.column(align=True)
c = col.column()
r = c.row()
r.prop(mmd_material, 'is_shared_toon_texture')
if mmd_material.is_shared_toon_texture:
r.prop(mmd_material, 'shared_toon_texture')
else:
r = c.row()
r.prop(mmd_material, 'toon_texture')
| 33.293233 | 105 | 0.593948 | 557 | 4,428 | 4.509874 | 0.168761 | 0.113854 | 0.06051 | 0.121019 | 0.815287 | 0.742436 | 0.709395 | 0.59992 | 0.538615 | 0.484475 | 0 | 0.002196 | 0.280262 | 4,428 | 132 | 106 | 33.545455 | 0.786006 | 0.009033 | 0 | 0.567568 | 0 | 0 | 0.1875 | 0.072765 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036036 | false | 0 | 0.018018 | 0 | 0.18018 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 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 | 3 |
fe198583d4fd3b668eed5f263402fdd0a4929247 | 1,491 | py | Python | apis/migrations/0002_largecap.py | philip-hash/Fin_Serv_Rest_Api | 4feabbddc5e51a350b2aee4565d1a9cec2890ba0 | [
"MIT"
] | null | null | null | apis/migrations/0002_largecap.py | philip-hash/Fin_Serv_Rest_Api | 4feabbddc5e51a350b2aee4565d1a9cec2890ba0 | [
"MIT"
] | null | null | null | apis/migrations/0002_largecap.py | philip-hash/Fin_Serv_Rest_Api | 4feabbddc5e51a350b2aee4565d1a9cec2890ba0 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.7 on 2021-04-14 10:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('apis', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='LargeCap',
fields=[
('name', models.TextField(blank=True, primary_key=True, serialize=False)),
('prod_rate', models.FloatField(blank=True, null=True)),
('debt_rate', models.FloatField(blank=True, null=True)),
('cred_rate', models.FloatField(blank=True, null=True)),
('liq_rate', models.FloatField(blank=True, null=True)),
('grow_rate', models.FloatField(blank=True, null=True)),
('oper_rate', models.FloatField(blank=True, null=True)),
('sent_rate', models.FloatField(blank=True, null=True)),
('vol_strength', models.FloatField(blank=True, null=True)),
('nd_vol_prob', models.FloatField(blank=True, null=True)),
('nw_vol_prob', models.FloatField(blank=True, null=True)),
('pa_prob', models.FloatField(blank=True, null=True)),
('bull_rev_prob', models.FloatField(blank=True, null=True)),
('bear_rev_prob', models.FloatField(blank=True, null=True)),
],
options={
'db_table': 'Large_Cap',
'managed': False,
},
),
]
| 40.297297 | 90 | 0.556003 | 157 | 1,491 | 5.146497 | 0.375796 | 0.155941 | 0.337871 | 0.402228 | 0.605198 | 0.605198 | 0.564356 | 0.19802 | 0 | 0 | 0 | 0.018078 | 0.295104 | 1,491 | 36 | 91 | 41.416667 | 0.750714 | 0.030181 | 0 | 0 | 1 | 0 | 0.125346 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.033333 | 0 | 0.133333 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a3aa59c5254bc40e5f2a4ae2d3322a1067ddc035 | 247 | py | Python | libAnt/core.py | ayanezcasal/AntLibAYC | c266af973f4c32d4baf30130fe51a572478488ec | [
"MIT"
] | 19 | 2018-04-14T15:29:17.000Z | 2022-02-05T08:51:16.000Z | libAnt/core.py | ayanezcasal/AntLibAYC | c266af973f4c32d4baf30130fe51a572478488ec | [
"MIT"
] | 5 | 2018-12-16T09:32:06.000Z | 2021-10-20T20:20:06.000Z | libAnt/core.py | ayanezcasal/AntLibAYC | c266af973f4c32d4baf30130fe51a572478488ec | [
"MIT"
] | 12 | 2016-08-24T09:00:44.000Z | 2022-01-24T00:16:13.000Z | def lazyproperty(fn):
attr_name = '__' + fn.__name__
@property
def _lazyprop(self):
if not hasattr(self, attr_name):
setattr(self, attr_name, fn(self))
return getattr(self, attr_name)
return _lazyprop
| 22.454545 | 46 | 0.623482 | 30 | 247 | 4.733333 | 0.466667 | 0.225352 | 0.253521 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.275304 | 247 | 10 | 47 | 24.7 | 0.793296 | 0 | 0 | 0 | 0 | 0 | 0.008097 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a3b825c0c19bb69269cd89dd3eddba8eea9a9f6e | 1,045 | py | Python | tests/test_utils.py | kreyoo/csgo-inv-shuffle | 6392dd1eef1ca87ec25c9cf4845af3f8df3594a5 | [
"MIT"
] | null | null | null | tests/test_utils.py | kreyoo/csgo-inv-shuffle | 6392dd1eef1ca87ec25c9cf4845af3f8df3594a5 | [
"MIT"
] | 5 | 2021-12-22T19:25:51.000Z | 2022-03-28T19:27:34.000Z | tests/test_utils.py | kreyoo/csgo-inv-shuffle | 6392dd1eef1ca87ec25c9cf4845af3f8df3594a5 | [
"MIT"
] | null | null | null | from csgoinvshuffle.types import SlotTagMap
from csgoinvshuffle.utils import get_depending_item_slots, get_loadout_slot_enum_value
from csgoinvshuffle.enums import LoadoutSlot
from csgoinvshuffle.item import _slot_tag_map, _slot_tag_map_ct, _slot_tag_map_t
def test_get_loadout_slot_enum_value():
for enum_value in LoadoutSlot:
assert get_loadout_slot_enum_value(enum_value.value) == enum_value
def __test_get_depending_item_slots(slot_tag_map: SlotTagMap):
for enum_value, tuple_ in slot_tag_map.items():
assert_ = len(get_depending_item_slots(enum_value.value))
if enum_value != LoadoutSlot.AGENT_CT and enum_value != LoadoutSlot.AGENT_T:
assert assert_ == len(tuple_)
else:
assert assert_ == 1
def test_get_depending_item_slots():
__test_get_depending_item_slots(_slot_tag_map)
def test_get_depending_item_slots_t():
__test_get_depending_item_slots(_slot_tag_map_t)
def test_get_depending_item_slots_ct():
__test_get_depending_item_slots(_slot_tag_map_ct)
| 33.709677 | 86 | 0.797129 | 155 | 1,045 | 4.748387 | 0.212903 | 0.122283 | 0.195652 | 0.256793 | 0.427989 | 0.338315 | 0.233696 | 0.190217 | 0 | 0 | 0 | 0.00112 | 0.145455 | 1,045 | 30 | 87 | 34.833333 | 0.823068 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0.25 | false | 0 | 0.2 | 0 | 0.45 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a3bb23da5da0a8adefd7d8c1e6044f0e4c89fdff | 406 | bzl | Python | third_party/gtest/workspace.bzl | smallsunsun1/async_lib | d1e88aa73a1084a9549f884241266c8bdf568411 | [
"Apache-2.0",
"MIT"
] | null | null | null | third_party/gtest/workspace.bzl | smallsunsun1/async_lib | d1e88aa73a1084a9549f884241266c8bdf568411 | [
"Apache-2.0",
"MIT"
] | null | null | null | third_party/gtest/workspace.bzl | smallsunsun1/async_lib | d1e88aa73a1084a9549f884241266c8bdf568411 | [
"Apache-2.0",
"MIT"
] | null | null | null | """load gtest third party"""
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
def repo():
http_archive(
name = "com_google_googletest",
sha256 = "353571c2440176ded91c2de6d6cd88ddd41401d14692ec1f99e35d013feda55a",
urls = ["https://github.com/google/googletest/archive/refs/tags/release-1.11.0.zip"],
strip_prefix = "googletest-release-1.11.0",
)
| 36.909091 | 93 | 0.694581 | 46 | 406 | 5.978261 | 0.673913 | 0.058182 | 0.138182 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148688 | 0.155172 | 406 | 10 | 94 | 40.6 | 0.653061 | 0.054187 | 0 | 0 | 0 | 0.125 | 0.632275 | 0.407407 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | true | 0 | 0 | 0 | 0.125 | 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 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a3c24db89883ec877c7e0a2348630a636948a826 | 444 | py | Python | simplemooc/core/migrations/0015_auto_20181105_2356.py | DiegoBrian/Eureka | 27cf952b27af7fc8cfcc797dffc43a92c9a16d15 | [
"MIT"
] | null | null | null | simplemooc/core/migrations/0015_auto_20181105_2356.py | DiegoBrian/Eureka | 27cf952b27af7fc8cfcc797dffc43a92c9a16d15 | [
"MIT"
] | null | null | null | simplemooc/core/migrations/0015_auto_20181105_2356.py | DiegoBrian/Eureka | 27cf952b27af7fc8cfcc797dffc43a92c9a16d15 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.1 on 2018-11-06 01:56
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('core', '0014_usuario_pergunta'),
]
operations = [
migrations.RemoveField(
model_name='pergunta',
name='student_answer',
),
migrations.RemoveField(
model_name='pergunta',
name='student_text',
),
]
| 20.181818 | 47 | 0.572072 | 43 | 444 | 5.767442 | 0.697674 | 0.169355 | 0.209677 | 0.241935 | 0.395161 | 0.395161 | 0.395161 | 0 | 0 | 0 | 0 | 0.062706 | 0.317568 | 444 | 21 | 48 | 21.142857 | 0.755776 | 0.101351 | 0 | 0.4 | 1 | 0 | 0.168766 | 0.052897 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a3e359aa30e336e41c00e142ec180cb0af7cc399 | 485 | py | Python | countess/tests/data/plugins/two_options.py | VariantEffect/Enrich2-py3 | 5f8534c8c9259d90d99d70e5bd9140fd0fdc8ea4 | [
"BSD-3-Clause"
] | 4 | 2020-01-14T19:24:07.000Z | 2020-01-16T18:11:35.000Z | countess/tests/data/plugins/two_options.py | VariantEffect/CountESS | 5f8534c8c9259d90d99d70e5bd9140fd0fdc8ea4 | [
"BSD-3-Clause"
] | 3 | 2020-01-01T10:38:15.000Z | 2020-01-03T09:45:41.000Z | countess/tests/data/plugins/two_options.py | VariantEffect/CountESS | 5f8534c8c9259d90d99d70e5bd9140fd0fdc8ea4 | [
"BSD-3-Clause"
] | 1 | 2022-02-20T00:35:24.000Z | 2022-02-20T00:35:24.000Z | from countess.plugins.scoring import BaseScorerPlugin
from countess.plugins.options import Options
options_1 = Options()
options_2 = Options()
class CountsScorer(BaseScorerPlugin):
name = "Counts Only"
version = "1.0"
author = "Alan Rubin, Daniel Esposito"
def __init__(self, store_manager, options):
super().__init__(store_manager, options)
def compute_scores(self):
return
def row_apply_function(self, *args, **kwargs):
return
| 21.086957 | 53 | 0.701031 | 56 | 485 | 5.803571 | 0.625 | 0.073846 | 0.116923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010363 | 0.204124 | 485 | 22 | 54 | 22.045455 | 0.831606 | 0 | 0 | 0.142857 | 0 | 0 | 0.084536 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0 | 0.142857 | 0.142857 | 0.785714 | 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 | 1 | 0 | 0 | 3 |
a3fb8526b6c27b834a3c5bce5a53b9b23dc85f4b | 600 | py | Python | src/expresso/tests/test_job_parser.py | Jaleyhd/expresso2 | b167a97e67ffc6fd6082163802ab8a2079464693 | [
"MIT"
] | null | null | null | src/expresso/tests/test_job_parser.py | Jaleyhd/expresso2 | b167a97e67ffc6fd6082163802ab8a2079464693 | [
"MIT"
] | null | null | null | src/expresso/tests/test_job_parser.py | Jaleyhd/expresso2 | b167a97e67ffc6fd6082163802ab8a2079464693 | [
"MIT"
] | null | null | null | #from __future__ import absolute_import
from ..utils import job_parser
from ..utils import common
from nose2.tools import params
from nose2.tools import such
import unittest2 as unittest
class MyTestCase(unittest.TestCase):
def test(self):
self.assertRaises(Exception,job_parser.get_category_path,type_val='data',expresso_root=None)
def test2(self):
self.assertRaises(Exception, job_parser.get_category_path, arg=None,type_val='data',
expresso_root=None)
def test3(self):
self.assertRaises(Exception, common.is_empty_filename, 'hello')
| 28.571429 | 100 | 0.74 | 79 | 600 | 5.392405 | 0.493671 | 0.06338 | 0.140845 | 0.204225 | 0.389671 | 0.389671 | 0.389671 | 0.248826 | 0.248826 | 0 | 0 | 0.010081 | 0.173333 | 600 | 20 | 101 | 30 | 0.84879 | 0.063333 | 0 | 0 | 0 | 0 | 0.023173 | 0 | 0 | 0 | 0 | 0 | 0.230769 | 1 | 0.230769 | false | 0 | 0.384615 | 0 | 0.692308 | 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 | 1 | 0 | 0 | 0 | 0 | 3 |
431966f6ada67e0b873edaae0a708be56ad3013c | 169 | py | Python | environments/sparseMuJoCo/setup.py | smileyenot983/PPO-pytorch | 14fa91e0ac204fcba768f5e24f744f1ef9472488 | [
"MIT"
] | null | null | null | environments/sparseMuJoCo/setup.py | smileyenot983/PPO-pytorch | 14fa91e0ac204fcba768f5e24f744f1ef9472488 | [
"MIT"
] | null | null | null | environments/sparseMuJoCo/setup.py | smileyenot983/PPO-pytorch | 14fa91e0ac204fcba768f5e24f744f1ef9472488 | [
"MIT"
] | null | null | null | from setuptools import setup
setup(name='sparseMuJoCo',
version='1.0.0',
install_requires=['gym', 'mujoco-py']
)
| 24.142857 | 57 | 0.491124 | 16 | 169 | 5.125 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028846 | 0.384615 | 169 | 6 | 58 | 28.166667 | 0.759615 | 0 | 0 | 0 | 0 | 0 | 0.171598 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
433c316f06715c7fcf0260e910ea67851b8e0e33 | 128 | py | Python | wcics/database/consts/problems.py | CS-Center/CS-Center | 3cd09f29d214406e6618fc67b9faf59a18f3f11b | [
"MIT"
] | null | null | null | wcics/database/consts/problems.py | CS-Center/CS-Center | 3cd09f29d214406e6618fc67b9faf59a18f3f11b | [
"MIT"
] | 6 | 2019-12-06T18:06:28.000Z | 2021-12-01T20:19:05.000Z | wcics/database/consts/problems.py | CS-Center/CS-Center | 3cd09f29d214406e6618fc67b9faf59a18f3f11b | [
"MIT"
] | null | null | null | PROBLEM_PID_MAX_LENGTH = 32
PROBLEM_TITLE_MAX_LENGTH = 128
PROBLEM_SECTION_MAX_LENGTH = 4096
PROBLEM_SAMPLE_MAX_LENGTH = 1024 | 18.285714 | 33 | 0.859375 | 20 | 128 | 4.9 | 0.55 | 0.367347 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.114035 | 0.109375 | 128 | 7 | 34 | 18.285714 | 0.745614 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
43478b43325d30cbd98f24c21e7d0de0a429caef | 288 | py | Python | src/vmshepherd/healthcheck/dummy_healthcheck.py | DreamLab/VmShepherd | f602bb814080d2d3f62c6cb5fa6b9dd685833c24 | [
"Apache-2.0"
] | 10 | 2018-06-10T17:54:57.000Z | 2022-02-07T19:37:07.000Z | src/vmshepherd/healthcheck/dummy_healthcheck.py | DreamLab/VmShepherd | f602bb814080d2d3f62c6cb5fa6b9dd685833c24 | [
"Apache-2.0"
] | 10 | 2018-06-10T18:46:07.000Z | 2021-05-13T13:01:22.000Z | src/vmshepherd/healthcheck/dummy_healthcheck.py | DreamLab/VmShepherd | f602bb814080d2d3f62c6cb5fa6b9dd685833c24 | [
"Apache-2.0"
] | 3 | 2019-07-18T14:10:10.000Z | 2022-02-07T19:37:08.000Z | from .abstract import AbstractHealthcheck
class DummyHealthcheck(AbstractHealthcheck):
status = True
def __init__(self, config=None):
pass
async def is_healthy(self, vm):
return self.status
def set_status(self, healthy):
self.status = healthy
| 19.2 | 44 | 0.684028 | 32 | 288 | 5.96875 | 0.625 | 0.115183 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.243056 | 288 | 14 | 45 | 20.571429 | 0.876147 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0.111111 | 0.111111 | 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 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
4a3951c10a76d8c74a23bbe8f3e858d84dcf526f | 2,705 | py | Python | src/hub/dataload/sources/cgi/cgi_upload.py | raymond301/myvariant.info | 1929644dfca89d7942fa5d34d7c89ab5badc94d8 | [
"Apache-2.0"
] | null | null | null | src/hub/dataload/sources/cgi/cgi_upload.py | raymond301/myvariant.info | 1929644dfca89d7942fa5d34d7c89ab5badc94d8 | [
"Apache-2.0"
] | null | null | null | src/hub/dataload/sources/cgi/cgi_upload.py | raymond301/myvariant.info | 1929644dfca89d7942fa5d34d7c89ab5badc94d8 | [
"Apache-2.0"
] | null | null | null | import os
from hub.dataload.uploader import SnpeffPostUpdateUploader
from .cgi_parser import load_data
class CGIUploader(SnpeffPostUpdateUploader):
name = "cgi"
__metadata__ = {"mapper": 'observed',
"assembly": "hg19",
"src_meta": {
"url": "https://www.cancergenomeinterpreter.org/home",
"license_url": "https://creativecommons.org/publicdomain/zero/1.0/",
"license_url_short": "https://goo.gl/pBW3vj",
"licence": "CC0 1.0 Universal",
}
}
def load_data(self,data_folder):
# there's one vcf file there, let's get it
input_file = os.path.join(data_folder,"cgi_biomarkers_per_variant.tsv")
assert os.path.exists(input_file), "Can't find input file '%s'" % input_file
self.logger.info("Load data from file '%s'" % input_file)
return load_data(input_file)
@classmethod
def get_mapping(self):
mapping = {
"cgi": {
"properties": {
'association': {
'analyzer': 'string_lowercase',
'type': 'text'
},
'cdna': {
'analyzer': 'string_lowercase',
'type': 'text'
},
'drug': {
'analyzer': 'string_lowercase',
'type': 'text'
},
'evidence_level': {
'analyzer': 'string_lowercase',
'type': 'text'
},
'gene': {
'analyzer': 'string_lowercase',
'type': 'text'
},
'primary_tumor_type': {
'analyzer': 'string_lowercase',
'type': 'text'
},
'protein_change': {
'analyzer': 'string_lowercase',
'type': 'text'
},
'region': {
'analyzer': 'string_lowercase',
'type': 'text'
},
'source': {
'analyzer': 'string_lowercase',
'type': 'text'
},
'transcript': {
'analyzer': 'string_lowercase',
'type': 'text'
}
}
}
}
return mapping
| 35.592105 | 92 | 0.385213 | 184 | 2,705 | 5.461957 | 0.472826 | 0.139303 | 0.228856 | 0.268657 | 0.308458 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005957 | 0.503512 | 2,705 | 75 | 93 | 36.066667 | 0.742368 | 0.014787 | 0 | 0.294118 | 0 | 0 | 0.266992 | 0.011265 | 0 | 0 | 0 | 0 | 0.014706 | 1 | 0.029412 | false | 0 | 0.044118 | 0 | 0.147059 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 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 | 3 |
4a3ed23a947100e602eb638c12db89d7a76de394 | 637 | py | Python | classes.py | GayGang/python_learning | df1cb39786f0ca598c98ddfc77893daea9ff7685 | [
"MIT"
] | null | null | null | classes.py | GayGang/python_learning | df1cb39786f0ca598c98ddfc77893daea9ff7685 | [
"MIT"
] | null | null | null | classes.py | GayGang/python_learning | df1cb39786f0ca598c98ddfc77893daea9ff7685 | [
"MIT"
] | null | null | null |
students = []
class Student:
# Python 没有权限控制, 所有的方法都是 public ,可以通过规范命名去说明
# class property
school_name = "SHICHENGZHOGNXUE"
def __init__(self, name, stu_id=110):
# instance property
self.name = name
self.stu_id = stu_id
students.append(self)
def get_name_capitalize(self):
return self.name.capitalize()
def __str__(self):
return "Student name is {0}, id is {1}".format(self.name, self.stu_id)
class HighSchoolStudent(Student):
def __str__(self):
result_str = super().__str__()
return "This is High School ,{0}".format(result_str)
| 18.735294 | 78 | 0.632653 | 78 | 637 | 4.846154 | 0.423077 | 0.084656 | 0.058201 | 0.068783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012739 | 0.260597 | 637 | 33 | 79 | 19.30303 | 0.789809 | 0.117739 | 0 | 0.133333 | 0 | 0 | 0.126812 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.266667 | false | 0 | 0 | 0.133333 | 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 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
4a4ccb8e1e6f83258706eabd2ef65a1d8c9749e4 | 235 | py | Python | home/views.py | ArianOtt-hub/sloth-side | 4b5a0954e70b037d57b60c60e605e574b6c198d3 | [
"MIT"
] | null | null | null | home/views.py | ArianOtt-hub/sloth-side | 4b5a0954e70b037d57b60c60e605e574b6c198d3 | [
"MIT"
] | null | null | null | home/views.py | ArianOtt-hub/sloth-side | 4b5a0954e70b037d57b60c60e605e574b6c198d3 | [
"MIT"
] | null | null | null | from django.views.generic import ListView
from . import models
# Create your views here.
class HomeOverview(ListView):
model = models.HomeOverview
template_name = 'home/overview.html'
context_object_name = 'homeoverview' | 23.5 | 41 | 0.761702 | 28 | 235 | 6.285714 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.161702 | 235 | 10 | 42 | 23.5 | 0.893401 | 0.097872 | 0 | 0 | 0 | 0 | 0.14218 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
4a63d7d850bc3c9343f1c36d9c9b4af38c28af2c | 328 | py | Python | pyprob/__init__.py | SRagy/pyprob | c8fc67d5f4ad78d565a86c2f86abe10b73549f18 | [
"BSD-2-Clause"
] | 125 | 2019-10-03T21:14:00.000Z | 2022-03-31T22:13:33.000Z | pyprob/__init__.py | SRagy/pyprob | c8fc67d5f4ad78d565a86c2f86abe10b73549f18 | [
"BSD-2-Clause"
] | 25 | 2019-09-28T18:25:46.000Z | 2022-03-28T09:23:14.000Z | pyprob/__init__.py | SRagy/pyprob | c8fc67d5f4ad78d565a86c2f86abe10b73549f18 | [
"BSD-2-Clause"
] | 20 | 2019-11-07T10:47:08.000Z | 2022-03-24T06:07:06.000Z | __version__ = '1.3.0.dev7'
from .util import TraceMode, PriorInflation, InferenceEngine, InferenceNetwork, Optimizer, LearningRateScheduler, ObserveEmbedding, set_verbosity, set_device, seed
from .state import sample, observe, factor, tag
from .address_dictionary import AddressDictionary
from .model import Model, RemoteModel
| 46.857143 | 163 | 0.829268 | 37 | 328 | 7.162162 | 0.783784 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013559 | 0.10061 | 328 | 6 | 164 | 54.666667 | 0.884746 | 0 | 0 | 0 | 0 | 0 | 0.030488 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.8 | 0 | 0.8 | 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 | 1 | 0 | 0 | 3 |
4a67aa1009dc8a81d4b29c48113962c78eadaed8 | 149 | py | Python | motor_watch/status.py | pcdshub/motor_watch | 2bcfb271ec7f05dbd2c79af5426be8edfe1f591b | [
"BSD-3-Clause-LBNL"
] | null | null | null | motor_watch/status.py | pcdshub/motor_watch | 2bcfb271ec7f05dbd2c79af5426be8edfe1f591b | [
"BSD-3-Clause-LBNL"
] | null | null | null | motor_watch/status.py | pcdshub/motor_watch | 2bcfb271ec7f05dbd2c79af5426be8edfe1f591b | [
"BSD-3-Clause-LBNL"
] | 2 | 2019-06-04T17:17:30.000Z | 2019-06-04T23:56:49.000Z | def process(status):
status_info = {}
status_info['name'] = status.pos.name
status_info['target'] = status.target
return status_info
| 24.833333 | 41 | 0.677852 | 19 | 149 | 5.105263 | 0.421053 | 0.412371 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.194631 | 149 | 5 | 42 | 29.8 | 0.808333 | 0 | 0 | 0 | 0 | 0 | 0.067114 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
4a6b696e15b96de05f5817003a3da1695b08a598 | 9,270 | py | Python | pacu/models/awsapi/streams.dynamodb.py | RyanJarv/Pacu2 | 27df4bcf296fc8f467d3dc671a47bf9519ce7a24 | [
"MIT"
] | 1 | 2022-03-09T14:51:54.000Z | 2022-03-09T14:51:54.000Z | pacu/models/awsapi/streams.dynamodb.py | RyanJarv/Pacu2 | 27df4bcf296fc8f467d3dc671a47bf9519ce7a24 | [
"MIT"
] | null | null | null | pacu/models/awsapi/streams.dynamodb.py | RyanJarv/Pacu2 | 27df4bcf296fc8f467d3dc671a47bf9519ce7a24 | [
"MIT"
] | null | null | null | # generated by datamodel-codegen:
# filename: openapi.yaml
# timestamp: 2021-12-31T02:59:01+00:00
from __future__ import annotations
from datetime import datetime
from enum import Enum
from typing import Annotated, Any, List, Optional
from pydantic import BaseModel, Extra, Field
class ResourceNotFoundException(BaseModel):
__root__: Any
class InternalServerError(ResourceNotFoundException):
pass
class LimitExceededException(ResourceNotFoundException):
pass
class ExpiredIteratorException(ResourceNotFoundException):
pass
class TrimmedDataAccessException(ResourceNotFoundException):
pass
class AttributeMap(BaseModel):
pass
class Config:
extra = Extra.allow
class AttributeName(BaseModel):
__root__: Annotated[str, Field(max_length=65535)]
class StringAttributeValue(BaseModel):
__root__: str
class NumberAttributeValue(StringAttributeValue):
pass
class BinaryAttributeValue(StringAttributeValue):
pass
class StringSetAttributeValue(BaseModel):
__root__: List[StringAttributeValue]
class NumberSetAttributeValue(BaseModel):
__root__: List[NumberAttributeValue]
class BinarySetAttributeValue(BaseModel):
__root__: List[BinaryAttributeValue]
class MapAttributeValue(AttributeMap):
pass
class NullAttributeValue(BaseModel):
__root__: bool
class BooleanAttributeValue(NullAttributeValue):
pass
class Date(BaseModel):
__root__: datetime
class StreamArn(BaseModel):
__root__: Annotated[str, Field(max_length=1024, min_length=37)]
class PositiveIntegerObject(BaseModel):
__root__: Annotated[int, Field(ge=1.0)]
class ShardId(BaseModel):
__root__: Annotated[str, Field(max_length=65, min_length=28)]
class ShardIterator(BaseModel):
__root__: Annotated[str, Field(max_length=2048, min_length=1)]
class ShardIteratorType(Enum):
TRIM_HORIZON = 'TRIM_HORIZON'
LATEST = 'LATEST'
AT_SEQUENCE_NUMBER = 'AT_SEQUENCE_NUMBER'
AFTER_SEQUENCE_NUMBER = 'AFTER_SEQUENCE_NUMBER'
class SequenceNumber(BaseModel):
__root__: Annotated[str, Field(max_length=40, min_length=21)]
class String(StringAttributeValue):
pass
class Identity(BaseModel):
"""
Contains details about the type of identity that made the request.
"""
PrincipalId: Optional[String] = None
Type: Optional[String] = None
class KeySchemaAttributeName(BaseModel):
__root__: Annotated[str, Field(max_length=255, min_length=1)]
class KeyType(Enum):
HASH = 'HASH'
RANGE = 'RANGE'
class TableName(BaseModel):
__root__: Annotated[
str, Field(max_length=255, min_length=3, regex='[a-zA-Z0-9_.-]+')
]
class OperationType(Enum):
INSERT = 'INSERT'
MODIFY = 'MODIFY'
REMOVE = 'REMOVE'
class PositiveLongObject(PositiveIntegerObject):
pass
class SequenceNumberRange(BaseModel):
"""
The beginning and ending sequence numbers for the stream records contained within a shard.
"""
StartingSequenceNumber: Optional[SequenceNumber] = None
EndingSequenceNumber: Optional[SequenceNumber] = None
class Shard(BaseModel):
"""
A uniquely identified group of stream records within a stream.
"""
ShardId: Optional[ShardId] = None
SequenceNumberRange: Optional[SequenceNumberRange] = None
ParentShardId: Optional[ShardId] = None
class ShardDescriptionList(BaseModel):
__root__: List[Shard]
class Stream(BaseModel):
"""
Represents all of the data describing a particular stream.
"""
StreamArn: Optional[StreamArn] = None
TableName: Optional[TableName] = None
StreamLabel: Optional[String] = None
class StreamStatus(Enum):
ENABLING = 'ENABLING'
ENABLED = 'ENABLED'
DISABLING = 'DISABLING'
DISABLED = 'DISABLED'
class StreamViewType(Enum):
NEW_IMAGE = 'NEW_IMAGE'
OLD_IMAGE = 'OLD_IMAGE'
NEW_AND_OLD_IMAGES = 'NEW_AND_OLD_IMAGES'
KEYS_ONLY = 'KEYS_ONLY'
class DescribeStreamInput(BaseModel):
"""
Represents the input of a <code>DescribeStream</code> operation.
"""
StreamArn: StreamArn
Limit: Optional[PositiveIntegerObject] = None
ExclusiveStartShardId: Optional[ShardId] = None
class GetRecordsInput(BaseModel):
"""
Represents the input of a <code>GetRecords</code> operation.
"""
ShardIterator: ShardIterator
Limit: Optional[PositiveIntegerObject] = None
class GetShardIteratorOutput(BaseModel):
"""
Represents the output of a <code>GetShardIterator</code> operation.
"""
ShardIterator: Optional[ShardIterator] = None
class GetShardIteratorInput(BaseModel):
"""
Represents the input of a <code>GetShardIterator</code> operation.
"""
StreamArn: StreamArn
ShardId: ShardId
ShardIteratorType: ShardIteratorType
SequenceNumber: Optional[SequenceNumber] = None
class ListStreamsInput(BaseModel):
"""
Represents the input of a <code>ListStreams</code> operation.
"""
TableName: Optional[TableName] = None
Limit: Optional[PositiveIntegerObject] = None
ExclusiveStartStreamArn: Optional[StreamArn] = None
class KeySchemaElement(BaseModel):
"""
<p>Represents <i>a single element</i> of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.</p> <p>A <code>KeySchemaElement</code> represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one <code>KeySchemaElement</code> (for the partition key). A composite primary key would require one <code>KeySchemaElement</code> for the partition key, and another <code>KeySchemaElement</code> for the sort key.</p> <p>A <code>KeySchemaElement</code> must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.</p>
"""
AttributeName: KeySchemaAttributeName
KeyType: KeyType
class KeySchema(BaseModel):
__root__: Annotated[List[KeySchemaElement], Field(max_items=2, min_items=1)]
class StreamList(BaseModel):
__root__: List[Stream]
class StreamRecord(BaseModel):
"""
A description of a single data modification that was performed on an item in a DynamoDB table.
"""
ApproximateCreationDateTime: Optional[Date] = None
Keys: Optional[AttributeMap] = None
NewImage: Optional[AttributeMap] = None
OldImage: Optional[AttributeMap] = None
SequenceNumber: Optional[SequenceNumber] = None
SizeBytes: Optional[PositiveLongObject] = None
StreamViewType: Optional[StreamViewType] = None
class Record(BaseModel):
"""
A description of a unique event within a stream.
"""
eventID: Optional[String] = None
eventName: Optional[OperationType] = None
eventVersion: Optional[String] = None
eventSource: Optional[String] = None
awsRegion: Optional[String] = None
dynamodb: Optional[StreamRecord] = None
userIdentity: Optional[Identity] = None
class ListStreamsOutput(BaseModel):
"""
Represents the output of a <code>ListStreams</code> operation.
"""
Streams: Optional[StreamList] = None
LastEvaluatedStreamArn: Optional[StreamArn] = None
class StreamDescription(BaseModel):
"""
Represents all of the data describing a particular stream.
"""
StreamArn: Optional[StreamArn] = None
StreamLabel: Optional[String] = None
StreamStatus: Optional[StreamStatus] = None
StreamViewType: Optional[StreamViewType] = None
CreationRequestDateTime: Optional[Date] = None
TableName: Optional[TableName] = None
KeySchema: Optional[KeySchema] = None
Shards: Optional[ShardDescriptionList] = None
LastEvaluatedShardId: Optional[ShardId] = None
class RecordList(BaseModel):
__root__: List[Record]
class DescribeStreamOutput(BaseModel):
"""
Represents the output of a <code>DescribeStream</code> operation.
"""
StreamDescription: Optional[StreamDescription] = None
class GetRecordsOutput(BaseModel):
"""
Represents the output of a <code>GetRecords</code> operation.
"""
Records: Optional[RecordList] = None
NextShardIterator: Optional[ShardIterator] = None
class AttributeValue(BaseModel):
"""
<p>Represents the data for an attribute.</p> <p>Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.NamingRulesDataTypes.html#HowItWorks.DataTypes">Data Types</a> in the <i>Amazon DynamoDB Developer Guide</i>.</p>
"""
S: Optional[StringAttributeValue] = None
N: Optional[NumberAttributeValue] = None
B: Optional[BinaryAttributeValue] = None
SS: Optional[StringSetAttributeValue] = None
NS: Optional[NumberSetAttributeValue] = None
BS: Optional[BinarySetAttributeValue] = None
M: Optional[MapAttributeValue] = None
L: Optional[ListAttributeValue] = None
NULL: Optional[NullAttributeValue] = None
BOOL: Optional[BooleanAttributeValue] = None
class ListAttributeValue(BaseModel):
__root__: List[AttributeValue]
AttributeValue.update_forward_refs()
| 25.893855 | 754 | 0.732039 | 976 | 9,270 | 6.82582 | 0.284836 | 0.039027 | 0.029721 | 0.026268 | 0.216001 | 0.164965 | 0.125938 | 0.055239 | 0.041729 | 0.041729 | 0 | 0.007331 | 0.175944 | 9,270 | 357 | 755 | 25.966387 | 0.864773 | 0.241855 | 0 | 0.155172 | 1 | 0 | 0.025997 | 0.003102 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.063218 | 0.028736 | 0 | 0.913793 | 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 | 1 | 0 | 0 | 3 |
4a6cf4fe74abd9844c2e367df85c90082c4fae01 | 83 | py | Python | perimeterx/__init__.py | jay-cox/perimeterx-python-wsgi | e99ba0d98f3c249aae80f636db72b7ace4730b1a | [
"MIT"
] | 14 | 2016-09-29T08:08:05.000Z | 2022-01-12T00:53:50.000Z | perimeterx/__init__.py | jay-cox/perimeterx-python-wsgi | e99ba0d98f3c249aae80f636db72b7ace4730b1a | [
"MIT"
] | 8 | 2016-09-29T08:57:42.000Z | 2021-03-17T11:56:52.000Z | perimeterx/__init__.py | jay-cox/perimeterx-python-wsgi | e99ba0d98f3c249aae80f636db72b7ace4730b1a | [
"MIT"
] | 4 | 2020-04-01T10:37:09.000Z | 2020-12-03T12:34:13.000Z | __author__ = 'bend'
__copyright__ = 'Copyright PerimeterX, Inc.'
import perimeterx
| 20.75 | 44 | 0.783133 | 8 | 83 | 7.125 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.120482 | 83 | 3 | 45 | 27.666667 | 0.780822 | 0 | 0 | 0 | 0 | 0 | 0.361446 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
4a83cc4b91bf23dc38c56e673540a88138b5f903 | 120 | py | Python | counting_candidates.py | KeerthiSagarSN/Generalized-Sequential-Pattern-Mining---Python | a94d7298f7301319398d90ae46c71499a27af35f | [
"MIT"
] | 1 | 2019-06-30T21:52:53.000Z | 2019-06-30T21:52:53.000Z | counting_candidates.py | KeerthiSagarSN/Generalized-Sequential-Pattern-Mining---Python | a94d7298f7301319398d90ae46c71499a27af35f | [
"MIT"
] | null | null | null | counting_candidates.py | KeerthiSagarSN/Generalized-Sequential-Pattern-Mining---Python | a94d7298f7301319398d90ae46c71499a27af35f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 10 17:02:10 2017
@author: Keerthi
"""
def counting_cand():
| 13.333333 | 36 | 0.55 | 17 | 120 | 3.823529 | 0.941176 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.147727 | 0.266667 | 120 | 9 | 37 | 13.333333 | 0.590909 | 0.175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
4a874a8cf0d124507af128b731059d2b6a77212e | 705,785 | py | Python | ketiga/bojongsoang.py | alitkurniawan48/BelajarGIS | c52556bc6fa74b849b9c3461410805807b742967 | [
"MIT"
] | 2 | 2020-02-09T14:47:07.000Z | 2020-02-09T14:47:12.000Z | ketiga/bojongsoang.py | alitkurniawan48/BelajarGIS | c52556bc6fa74b849b9c3461410805807b742967 | [
"MIT"
] | 12 | 2019-12-11T06:45:59.000Z | 2020-01-06T09:35:35.000Z | ketiga/bojongsoang.py | alitkurniawan48/BelajarGIS | c52556bc6fa74b849b9c3461410805807b742967 | [
"MIT"
] | 71 | 2019-12-09T13:52:54.000Z | 2021-05-28T16:19:09.000Z | import shapefile
class Bojongsoang:
def __init__(self):
self.desa = shapefile.Writer('desa_bojongsoang', shapeType=shapefile.POLYGON)
self.desa.shapeType
self.desa.field('desa_bojongsoang', 'C')
self.kantor = shapefile.Writer('kantor_desa_bojongsoang', shapeType=shapefile.POINT)
self.kantor.shapeType
self.kantor.field('kantor_desa', 'C')
self.jalan = shapefile.Writer('jalan_bojongsoang', shapeType=shapefile.POLYLINE)
self.jalan.shapeType
self.jalan.field('jalan_bojongsoang', 'C')
#-------------------------------------batas desa--------------------------------------------------------------------#
def desaBojongsari(self, nama):
self.desa.record(nama)
self.desa.poly(
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[107.660820007324, -7.00204992294312],
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[107.660377502441, -7.00220012664795],
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[107.659896850586, -7.00226020812988],
[107.659568786621, -7.00228023529053],
[107.659278869629, -7.00232982635492],
[107.659156799316, -7.0024299621582],
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def desaBojongsoang(self, nama):
self.desa.record(nama)
self.desa.poly(
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def desaBuahbatu(self, nama):
self.desa.record(nama)
self.desa.poly([[
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def desaCipagalo(self, nama):
self.desa.record(nama)
self.desa.poly([[
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def desaLengkong(self, nama):
self.desa.record(nama)
self.desa.poly([[
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def desaTegalluar(self, nama):
self.desa.record(nama)
self.desa.poly([[
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]])
#------------------------KANTOR-------------------------#
def kantorDesaBojongsari(self, nama):
self.kantor.record(nama)
self.kantor.point(107.6479884,-7.0007793)
def kantorDesaBojongsoang(self, nama):
self.kantor.record(nama)
self.kantor.point(107.6316619,-6.9832144)
def kantorDesaBuahbatu(self, nama):
self.kantor.record(nama)
self.kantor.point(107.6706512,-6.9879007)
def kantorDesaCipagalo(self, nama):
self.kantor.record(nama)
self.kantor.point(107.6375832,-6.9669617)
def kantorDesaLengkong(self, nama):
self.kantor.record(nama)
self.kantor.point(107.6476277,-6.9738619)
def kantorDesaTegalluar(self, nama):
self.kantor.record(nama)
self.kantor.point(107.6939468,-6.9832563)
#------------------------JALAN--------------------------#
def jalanDesaTegalluar1(self, nama):
self.jalan.record(nama)
self.jalan.line(
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]])
def jalanDesaTegalluar2(self, nama):
self.jalan.record(nama)
self.jalan.line(
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]])
def jalanDesaTegalluar3(self, nama):
self.jalan.record(nama)
self.jalan.line(
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]])
def jalanDesaBuahbatu6(self, nama):
self.jalan.record(nama)
self.jalan.line(
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def jalanDesaBuahbatu5(self, nama):
self.jalan.record(nama)
self.jalan.line(
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]])
def jalanDesaBuahbatu4(self, nama):
self.jalan.record(nama)
self.jalan.line(
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]])
def jalanDesaBuahbatu3(self, nama):
self.jalan.record(nama)
self.jalan.line(
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def jalanDesaBuahbatu2(self, nama):
self.jalan.record(nama)
self.jalan.line(
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def jalanDesaBuahbatu1(self, nama):
self.jalan.record(nama)
self.jalan.line(
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def jalanDesaBojongsari3(self, nama):
self.jalan.record(nama)
self.jalan.line(
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def jalanDesaBojongsari2(self, nama):
self.jalan.record(nama)
self.jalan.line(
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def jalanDesaBojongsari1(self, nama):
self.jalan.record(nama)
self.jalan.line(
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def jalanDesaBojongsoang1(self, nama):
self.jalan.record(nama)
self.jalan.line(
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def jalanDesaBojongsoang2(self, nama):
self.jalan.record(nama)
self.jalan.line(
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]])
def jalanDesaBojongsoang3(self, nama):
self.jalan.record(nama)
self.jalan.line(
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]])
def jalanDesaBojongsoang4(self, nama):
self.jalan.record(nama)
self.jalan.line(
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def jalanDesaLengkong2(self, nama):
self.jalan.record(nama)
self.jalan.line(
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def jalanDesaLengkong1(self, nama):
self.jalan.record(nama)
self.jalan.line(
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def jalanDesaCipagalo11(self, nama):
self.jalan.record(nama)
self.jalan.line(
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def jalanDesaCipagalo10(self, nama):
self.jalan.record(nama)
self.jalan.line(
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def jalanDesaCipagalo9(self, nama):
self.jalan.record(nama)
self.jalan.line(
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]])
def jalanDesaCipagalo8(self, nama):
self.jalan.record(nama)
self.jalan.line(
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def jalanDesaCipagalo7(self, nama):
self.jalan.record(nama)
self.jalan.line(
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]])
def jalanDesaCipagalo6(self, nama):
self.jalan.record(nama)
self.jalan.line(
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]])
def jalanDesaCipagalo5(self, nama):
self.jalan.record(nama)
self.jalan.line(
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[107.635757,-6.97068],
]])
def jalanDesaCipagalo4(self, nama):
self.jalan.record(nama)
self.jalan.line(
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[107.639778,-6.97941],
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def jalanDesaCipagalo3(self, nama):
self.jalan.record(nama)
self.jalan.line(
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]])
def jalanDesaCipagalo2(self, nama):
self.jalan.record(nama)
self.jalan.line(
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[107.65236,-6.9677],
[107.65236,-6.96771],
[107.65235,-6.96772],
[107.65235,-6.96774],
[107.65234,-6.96777],
[107.65228,-6.96808],
[107.65234,-6.96777],
[107.65235,-6.96774],
[107.65235,-6.96772],
[107.65236,-6.96771],
[107.65236,-6.9677],
[107.65237,-6.96769],
[107.65238,-6.96769],
[107.6524,-6.96768],
[107.65242,-6.96768],
[107.65245,-6.96769],
[107.65247,-6.96769],
[107.65249,-6.96771],
[107.65276,-6.96776],
[107.6528,-6.96776],
[107.65282,-6.96775],
[107.65283,-6.96774],
[107.65287,-6.96771],
[107.6529,-6.96769],
[107.65293,-6.96764],
[107.65296,-6.96767],
[107.65321,-6.96769],
[107.65419,-6.96781],
[107.65429,-6.96782],
[107.65444,-6.96784],
[107.65458,-6.96785],
[107.65463,-6.96785],
[107.65518,-6.96791],
[107.65526,-6.96792],
[107.65533,-6.96793],
[107.65534,-6.96791],
[107.65536,-6.96788],
[107.65576,-6.96791],
[107.65675,-6.96803],
[107.65677,-6.96803],
[107.6568,-6.96803],
[107.65682,-6.96803],
[107.65795,-6.96824],
[107.65814,-6.96827],
[107.65822,-6.96829],
[107.65851,-6.96834],
[107.6588,-6.9684],
[107.65851,-6.96834],
[107.65822,-6.96829],
[107.65814,-6.96827],
[107.65795,-6.96824],
[107.65682,-6.96803],
[107.6568,-6.96803],
[107.65677,-6.96803],
[107.65675,-6.96803],
[107.65576,-6.96791],
[107.65536,-6.96788],
[107.65534,-6.96791],
[107.65533,-6.96793],
[107.65516,-6.96888],
[107.65507,-6.96945],
[107.65505,-6.96954],
[107.65496,-6.96986],
[107.65486,-6.97023],
[107.65474,-6.97063],
[107.65469,-6.97085],
[107.65463,-6.97113],
[107.65462,-6.97119],
[107.65441,-6.97236],
[107.65435,-6.97265],
[107.65428,-6.97297],
[107.65371,-6.97285],
[107.65335,-6.97277],
[107.65286,-6.97267],
[107.65237,-6.97254],
[107.65219,-6.97249],
[107.65202,-6.97245],
[107.65186,-6.97242],
[107.6517,-6.97238],
[107.65161,-6.97236],
[107.65144,-6.97232],
[107.65142,-6.97232],
[107.65124,-6.97228],
[107.65112,-6.97227],
[107.651,-6.97226],
[107.65073,-6.97227],
[107.65051,-6.97225],
[107.65043,-6.97224],
[107.65037,-6.97224],
[107.65033,-6.97225],
[107.65031,-6.97225],
[107.65029,-6.97226],
[107.65027,-6.97228],
[107.65025,-6.9723],
[107.65024,-6.97232],
[107.65023,-6.97234],
[107.65022,-6.97235],
[107.6502,-6.97237],
[107.65018,-6.97238],
[107.65016,-6.97239],
[107.65014,-6.97239],
[107.65011,-6.97239],
[107.65008,-6.97239],
[107.65002,-6.97239],
[107.64998,-6.9724],
[107.64996,-6.9724],
[107.6499,-6.97241],
[107.64984,-6.97242],
[107.64982,-6.97243],
[107.6498,-6.97243],
[107.64973,-6.97245],
[107.64971,-6.97245],
[107.64964,-6.97245],
[107.64961,-6.97245],
[107.64958,-6.97245],
[107.64954,-6.97245],
[107.64949,-6.97243],
[107.64944,-6.97242],
[107.64941,-6.97241],
[107.64936,-6.97239],
[107.64922,-6.97236],
[107.64907,-6.97233],
[107.64902,-6.97232],
[107.64876,-6.97229],
[107.64866,-6.97226],
[107.64857,-6.97223],
[107.64856,-6.97223],
[107.64836,-6.97217],
[107.64832,-6.97216],
[107.6483,-6.97216],
[107.64829,-6.97215],
[107.64827,-6.97214],
[107.64825,-6.97212],
[107.64817,-6.97206],
[107.64812,-6.97201],
[107.64806,-6.97197],
[107.64801,-6.97195],
[107.64801,-6.97194],
[107.64797,-6.97192],
[107.64791,-6.9719],
[107.64782,-6.97186],
[107.64775,-6.97183],
[107.64759,-6.97178],
[107.64745,-6.97174],
[107.64734,-6.97171],
[107.64715,-6.97165],
[107.64687,-6.97158],
[107.64683,-6.97157],
[107.64676,-6.97156],
[107.6466,-6.97152],
[107.64649,-6.9715],
[107.64639,-6.97147],
[107.64619,-6.97143],
[107.6461,-6.97141],
[107.64609,-6.97141],
[107.64597,-6.97138],
[107.64587,-6.97137],
[107.64577,-6.97135],
[107.64576,-6.97135],
[107.64563,-6.97134],
[107.64549,-6.97133],
[107.64545,-6.97133],
[107.64521,-6.97133],
[107.64514,-6.97133],
[107.64488,-6.97135],
[107.64469,-6.97134],
[107.64456,-6.97133],
[107.64441,-6.97129],
[107.64408,-6.97122],
[107.64398,-6.9712],
[107.64341,-6.97108],
[107.64331,-6.97106],
[107.64318,-6.97104],
[107.64293,-6.971],
[107.64285,-6.97098],
[107.64215,-6.97086],
[107.64184,-6.97081],
[107.64094,-6.97064],
[107.64087,-6.97063],
[107.64056,-6.97055],
[107.64049,-6.97054],
[107.64034,-6.97049],
[107.64018,-6.97045],
[107.64016,-6.97045],
[107.63991,-6.97038],
[107.63942,-6.97026],
[107.63937,-6.97023],
[107.63934,-6.97021],
[107.63931,-6.97019],
[107.6393,-6.97016],
[107.63929,-6.97013],
[107.63927,-6.9701],
[107.63926,-6.97008],
[107.63926,-6.97006],
[107.63924,-6.97004],
[107.63916,-6.97],
[107.6391,-6.96998],
[107.63904,-6.96996],
[107.63895,-6.96995],
[107.63893,-6.96995],
[107.63886,-6.96994],
[107.63884,-6.96994],
[107.63882,-6.96994],
[107.63875,-6.96993],
[107.63861,-6.96987],
[107.63825,-6.96975],
[107.63773,-6.9696],
[107.63745,-6.96954],
[107.63703,-6.96948],
[107.63702,-6.96955],
[107.6369,-6.97004],
[107.63675,-6.97068],
[107.63674,-6.97073],
[107.63672,-6.9708],
]])
def jalanDesaCipagalo1(self, nama):
self.jalan.record(nama)
self.jalan.line(
[[
[107.6371,-6.96922],
[107.63717,-6.96892],
[107.63724,-6.96859],
[107.63728,-6.96839],
[107.63747,-6.96775],
[107.63755,-6.96738],
[107.63762,-6.96704],
[107.63763,-6.96696],
[107.63769,-6.96671],
[107.63775,-6.96638],
[107.63801,-6.96646],
[107.63813,-6.96643],
[107.63822,-6.96643],
[107.63948,-6.9665],
[107.63954,-6.96651],
[107.63964,-6.96649],
[107.63966,-6.96649],
[107.6409,-6.96689],
[107.64096,-6.96691],
[107.64099,-6.96692],
[107.64166,-6.96716],
[107.64177,-6.96724],
[107.64184,-6.96725],
[107.64201,-6.96732],
[107.64204,-6.96733],
[107.64206,-6.96734],
[107.64207,-6.96736],
[107.64209,-6.96739],
[107.64211,-6.96742],
[107.64211,-6.96744],
[107.64212,-6.96745],
[107.64213,-6.96746],
[107.64228,-6.96751],
[107.6432,-6.96761],
[107.64325,-6.96762],
[107.64326,-6.96762],
[107.64328,-6.96764],
[107.64329,-6.96766],
[107.64329,-6.96768],
[107.64328,-6.96772],
[107.64323,-6.96799],
[107.64396,-6.96806],
[107.64446,-6.96806],
[107.64396,-6.96806],
[107.64323,-6.96799],
[107.64328,-6.96772],
[107.64329,-6.96768],
[107.64329,-6.96766],
[107.64328,-6.96764],
[107.64326,-6.96762],
[107.64325,-6.96762],
[107.6432,-6.96761],
[107.64228,-6.96751],
[107.64213,-6.96746],
[107.64212,-6.96745],
[107.64211,-6.96744],
[107.64211,-6.96742],
[107.64209,-6.96739],
[107.64207,-6.96736],
[107.64206,-6.96734],
[107.64204,-6.96733],
[107.64201,-6.96732],
[107.64184,-6.96725],
[107.64177,-6.96724],
[107.64162,-6.96724],
[107.64093,-6.96699],
[107.63963,-6.96657],
[107.63954,-6.96651],
[107.63948,-6.9665],
[107.63922,-6.96726],
[107.63918,-6.96738],
[107.63917,-6.96739],
[107.63915,-6.96743],
[107.63914,-6.96744],
[107.63912,-6.96745],
[107.63907,-6.96747],
[107.639,-6.96746],
[107.63811,-6.96712],
[107.63784,-6.96701],
[107.63763,-6.96696],
[107.63769,-6.96671],
[107.63775,-6.96638],
[107.63781,-6.96615],
[107.63785,-6.96599],
]])
def close(self):
self.desa.close()
self.jalan.close()
| 37.337195 | 117 | 0.416268 | 75,114 | 705,785 | 3.911188 | 0.136992 | 0.002233 | 0.002567 | 0.001678 | 0.772405 | 0.549909 | 0.549603 | 0.531889 | 0.531889 | 0.525779 | 0 | 0.684018 | 0.397495 | 705,785 | 18,903 | 118 | 37.337195 | 0.006853 | 0.000319 | 0 | 0.804074 | 0 | 0 | 0.000146 | 0.000033 | 0 | 0 | 0 | 0 | 0 | 1 | 0.002281 | false | 0 | 0.000053 | 0 | 0.002387 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
4aa55dbeb3f9114f0afb26e58b00757f766c985f | 223 | py | Python | weixin.py | redisread/Scrapy-Spider | 2d21bb445308e7cbe6117313c95174958c2f99e4 | [
"CC0-1.0"
] | null | null | null | weixin.py | redisread/Scrapy-Spider | 2d21bb445308e7cbe6117313c95174958c2f99e4 | [
"CC0-1.0"
] | null | null | null | weixin.py | redisread/Scrapy-Spider | 2d21bb445308e7cbe6117313c95174958c2f99e4 | [
"CC0-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
import scrapy
class WeixinSpider(scrapy.Spider):
name = 'weixin'
allowed_domains = ['ershicimi.com']
start_urls = ['http://ershicimi.com/']
def parse(self, response):
pass
| 18.583333 | 42 | 0.618834 | 25 | 223 | 5.44 | 0.88 | 0.176471 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005747 | 0.219731 | 223 | 11 | 43 | 20.272727 | 0.775862 | 0.09417 | 0 | 0 | 0 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0.142857 | 0.142857 | 0 | 0.857143 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
435bbf38b9719ad8c47964c4451cd793c8f55a99 | 1,389 | py | Python | datatracer/column_map/base.py | HDI-Project/DataTracer | 4bb0906f1716bbcfeb0881cade5d6d47bca90764 | [
"MIT"
] | 15 | 2020-05-27T11:55:05.000Z | 2022-02-08T11:07:54.000Z | datatracer/column_map/base.py | HDI-Project/DataTracer | 4bb0906f1716bbcfeb0881cade5d6d47bca90764 | [
"MIT"
] | 21 | 2020-06-02T11:56:13.000Z | 2021-07-29T21:50:27.000Z | datatracer/column_map/base.py | HDI-Project/DataTracer | 4bb0906f1716bbcfeb0881cade5d6d47bca90764 | [
"MIT"
] | 3 | 2021-01-19T17:10:58.000Z | 2021-08-13T20:47:33.000Z | """Column Mapping base class."""
class ColumnMapSolver:
"""Base Solver for the data lineage problem of column dependency."""
def fit(self, list_of_databases):
"""Fit this solver.
Args:
list_of_databases (list):
List of tuples containing ``MetaData`` instnces and table dictinaries,
which contain table names as input and ``pandas.DataFrames`` as values.
"""
pass
def solve(self, tables, foreign_keys, target_table, target_field):
"""Find the fields which contributed to the target_field the most.
The output is a dictionary containing the fields that contributed the
most to the given target field as keys, specified as a tuple containing
both table name and field name, and the score obtained as values.
Args:
tables (dict):
Dict containing table names as input and ``pandas.DataFrames``
as values.
foreign_keys (list):
List of foreign key specifications.
target_table (str):
Name of the table that contains the target field.
target_field (str):
Name of the target field.
Returns:
dict:
Dictionary of field specification tuples and scores.
"""
raise NotImplementedError()
| 34.725 | 87 | 0.604752 | 161 | 1,389 | 5.149068 | 0.428571 | 0.079614 | 0.050663 | 0.041013 | 0.106152 | 0.106152 | 0.106152 | 0.106152 | 0.106152 | 0 | 0 | 0 | 0.334053 | 1,389 | 39 | 88 | 35.615385 | 0.896216 | 0.706264 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0.2 | 0 | 0 | 0.6 | 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 | 1 | 0 | 0 | 3 |
435d2ffb5188e98f3430caf5e70580139a8e27e8 | 3,147 | py | Python | src/model/ccm.py | secworks/ccm | acc3ab067b7f505848247c7eed7b2b429e6cd381 | [
"BSD-2-Clause"
] | 2 | 2020-08-06T14:39:46.000Z | 2022-01-29T23:28:20.000Z | src/model/ccm.py | secworks/ccm | acc3ab067b7f505848247c7eed7b2b429e6cd381 | [
"BSD-2-Clause"
] | null | null | null | src/model/ccm.py | secworks/ccm | acc3ab067b7f505848247c7eed7b2b429e6cd381 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#=======================================================================
#
# ccm.py
# ------
# Simple, pure Python, CCM implementation using the
# word based model of the AES cipher with support for 128 and
# 256 bit keys. Test vectors used in the tests are from the SP 800-38C.
#
#
#
# Author: Joachim Strömbergson
# Copyright (c) 2017, Secworks Sweden AB
# All rights reserved.
#
# 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.
#
# 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 OWNER 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.
#
#=======================================================================
#-------------------------------------------------------------------
# Python module imports.
#-------------------------------------------------------------------
import sys
# Note this assumes that the aes implementation is either in the
# same dir or symlinked.
from aes import AES
#-------------------------------------------------------------------
# test_ccm()
#
#-------------------------------------------------------------------
def test_ccm():
print("Testing complete ccm:")
print("---------------------")
#-------------------------------------------------------------------
# main()
#
# If executed tests the cmac function and its subfunctions.
#-------------------------------------------------------------------
def main():
print("Testing the CCM-AES mode")
print("========================")
print
test_ccm()
#-------------------------------------------------------------------
# __name__
# Python thingy which allows the file to be run standalone as
# well as parsed from within a Python interpreter.
#-------------------------------------------------------------------
if __name__=="__main__":
# Run the main function.
sys.exit(main())
#=======================================================================
# EOF ccm.py
#=======================================================================
| 35.761364 | 72 | 0.530982 | 330 | 3,147 | 5.018182 | 0.542424 | 0.009058 | 0.020531 | 0.027778 | 0.111111 | 0.082126 | 0.082126 | 0.082126 | 0.082126 | 0.082126 | 0 | 0.007006 | 0.138227 | 3,147 | 87 | 73 | 36.172414 | 0.603614 | 0.86654 | 0 | 0 | 0 | 0 | 0.276056 | 0.126761 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | true | 0 | 0.166667 | 0 | 0.333333 | 0.416667 | 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 | 1 | 0 | 3 |
436b0b8716d6dffe95acd55ab50f64b3c6ac3d93 | 241 | py | Python | ex-mundo2/ex046.py | PedroPegado/ex-cursoemvideo | 46751a7238e6a142b639c4cc3acf1759411732d7 | [
"MIT"
] | null | null | null | ex-mundo2/ex046.py | PedroPegado/ex-cursoemvideo | 46751a7238e6a142b639c4cc3acf1759411732d7 | [
"MIT"
] | null | null | null | ex-mundo2/ex046.py | PedroPegado/ex-cursoemvideo | 46751a7238e6a142b639c4cc3acf1759411732d7 | [
"MIT"
] | null | null | null | import time
import emoji
print('CONTEGEM REGRESSIVA')
time.sleep(0.5)
for c in range(10, 0, -1):
print(c)
time.sleep(1)
print(emoji.emojize(':fireworks::fireworks::fireworks: == FELIZ ANO NOVO == :fireworks::fireworks::fireworks:'))
| 26.777778 | 112 | 0.701245 | 35 | 241 | 4.828571 | 0.571429 | 0.426036 | 0.319527 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033175 | 0.124481 | 241 | 8 | 113 | 30.125 | 0.767773 | 0 | 0 | 0 | 0 | 0 | 0.443983 | 0.273859 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0.375 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
436feb546cb4af4df4e864ea911f7237b4e36d76 | 3,549 | py | Python | vas/gemfire/DiskStores.py | appsuite/vas-python-api | c5df2b784d2d175034384eca368d78827fa8846b | [
"Apache-2.0"
] | 1 | 2020-05-26T23:49:47.000Z | 2020-05-26T23:49:47.000Z | vas/gemfire/DiskStores.py | appsuite/vas-python-api | c5df2b784d2d175034384eca368d78827fa8846b | [
"Apache-2.0"
] | null | null | null | vas/gemfire/DiskStores.py | appsuite/vas-python-api | c5df2b784d2d175034384eca368d78827fa8846b | [
"Apache-2.0"
] | 1 | 2019-03-12T02:33:51.000Z | 2019-03-12T02:33:51.000Z | # vFabric Administration Server API
# Copyright (c) 2012 VMware, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://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 datetime import datetime
from vas.shared.Deletable import Deletable
from vas.shared.MutableCollection import MutableCollection
from vas.shared.Resource import Resource
from vas.util.LinkUtils import LinkUtils
class DiskStores(MutableCollection):
"""Provides access to a cache server node instance's disk stores
:ivar `vas.shared.Security.Security` security: The resource's security
"""
def __init__(self, client, location):
super(DiskStores, self).__init__(client, location, 'disk-stores', DiskStore)
class DiskStore(Resource, Deletable):
"""A disk store in a cache server node instance
:ivar str content: The disk store's content
:ivar `vas.gemfire.CacheServerNodeInstances.CacheServerNodeInstance` instance: The disk store's cache
server node instance
:ivar `datetime.datetime` last_modified: The last modified stamp of
the disk store
:ivar str name: the name of the disk store
:ivar `vas.shared.Security.Security` security: The resource's security
:ivar int size: The size of the disk store
"""
__instance = None
@property
def content(self):
return self._client.get(self.__content_location)
@property
def instance(self):
self.__instance = self.__instance or CacheServerNodeInstance(self._client, self.__instance_location)
return self.__instance
@property
def last_modified(self):
return self.__last_modified
@property
def name(self):
return self.__name
@property
def size(self):
return self.__size
def __init__(self, client, location):
super(DiskStore, self).__init__(client, location)
self.__name = self._details['name']
self.__instance_location = LinkUtils.get_link_href(self._details, 'cache-server-node-instance')
self.__content_location = LinkUtils.get_link_href(self._details, 'content')
def reload(self):
"""Reloads the disk store's details from the server"""
super(DiskStore, self).reload()
self.__last_modified = datetime.utcfromtimestamp(self._details['last-modified'])
self.__size = self._details['size']
def __str__(self):
return "<{} name={} size={} last_modified={}>".format(self.__class__.__name__, self.__name, self.__size,
self.__last_modified)
from vas.gemfire.CacheServerNodeInstances import CacheServerNodeInstance
| 38.576087 | 118 | 0.622429 | 388 | 3,549 | 5.479381 | 0.31701 | 0.045155 | 0.033866 | 0.043274 | 0.170743 | 0.118532 | 0.09031 | 0.053622 | 0.053622 | 0.053622 | 0 | 0.003231 | 0.302339 | 3,549 | 91 | 119 | 39 | 0.855412 | 0.489715 | 0 | 0.179487 | 0 | 0 | 0.05879 | 0.014986 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.153846 | 0.128205 | 0.615385 | 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 | 1 | 0 | 0 | 3 |
43733febc69bcd2f99961b0e7fd55a3896df8f15 | 5,306 | py | Python | ppml/kms-client/KMS_Client.py | DirkFi/BigDL | 7493209165c046116470b9a1e1c8f527915d6f1e | [
"Apache-2.0"
] | null | null | null | ppml/kms-client/KMS_Client.py | DirkFi/BigDL | 7493209165c046116470b9a1e1c8f527915d6f1e | [
"Apache-2.0"
] | null | null | null | ppml/kms-client/KMS_Client.py | DirkFi/BigDL | 7493209165c046116470b9a1e1c8f527915d6f1e | [
"Apache-2.0"
] | null | null | null | import argparse
import os
import FileOperator, KeyManager
def generate_primary_key(ip, port):
KeyManager.generate_primary_key_ciphertext(ip, port)
def generate_data_key(ip, port, encrypted_primary_key_path):
KeyManager.generate_data_key_ciphertext(ip, port, encrypted_primary_key_path)
def encrypt_file_without_key(data_file_path, ip, port):
KeyManager.generate_primary_key_ciphertext(ip, port)
KeyManager.generate_data_key_ciphertext(ip, port, './encrypted_primary_key')
FileOperator.encrypt_data_file(ip, port, data_file_path, './encrypted_primary_key', './encrypted_data_key')
def encrypt_file_with_key(data_file_path, ip, port, encrypted_primary_key_path, encrypted_data_key_path):
FileOperator.encrypt_data_file(ip, port, data_file_path, encrypted_primary_key_path, encrypted_data_key_path)
def decrypt_file(data_file_path, ip, port, encrypted_primary_key_path, encrypted_data_key_path):
FileOperator.decrypt_data_file(ip, port, data_file_path, encrypted_primary_key_path, encrypted_data_key_path)
def encrypt_directory_with_key(dir_path, ip, port,encrypted_primary_key_path, encrypted_data_key_path, save_dir=None):
FileOperator.encrypt_directory_automation(ip, port, dir_path, encrypted_primary_key_path, encrypted_data_key_path,save_dir)
def encrypt_directory_without_key(dir_path, ip, port, save_dir=None):
KeyManager.generate_primary_key_ciphertext(ip, port)
KeyManager.generate_data_key_ciphertext(ip, port, './encrypted_primary_key')
FileOperator.encrypt_directory_automation(ip, port, dir_path, './encrypted_primary_key', './encrypted_data_key',save_dir)
def get_data_key_plaintext(ip, port, encrypted_primary_key_path, encrypted_data_key_path):
data_key_plaintext = KeyManager.retrieve_data_key_plaintext(ip, port, encrypted_primary_key_path, encrypted_data_key_path)
print(data_key_plaintext)
return data_key_plaintext
def decrypt_csv_columns(ip, port, encrypted_primary_key_path, encrypted_data_key_path, input_dir):
FileOperator.decrypt_csv_columns_automation(ip, port, encrypted_primary_key_path, encrypted_data_key_path, input_dir)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('-api', '--api', type=str, help='name of the API to use', required=True)
parser.add_argument('-ip', '--ip', type=str, help='ip address of the ehsm_kms_server', required=True)
parser.add_argument('-port', '--port', type=str, help='port of the ehsm_kms_server',default='3000', required=False)
parser.add_argument('-pkp', '--pkp', type=str, help='path of the primary key storage file', required=False)
parser.add_argument('-dkp', '--dkp', type=str, help='path of the data key storage file', required=False)
parser.add_argument('-dfp', '--dfp', type=str, help='path of the data file to encrypt', required=False)
parser.add_argument('-dir', '--dir', type=str, help='path of the directory containing column-encrypted CSVs or the directory to be encrypted', required=False)
parser.add_argument('-sdp', '--sdp', type=str, help='path of the save directory output to',required=False)
args = parser.parse_args()
api = args.api
ip = args.ip
port = args.port
if os.getenv('APPID') is None:
print("Please set appid to environment variable APPID")
exit(1)
if os.getenv('APIKEY') is None:
print("Please set apikey to environment variable APIKEY")
exit(1)
if api == 'encrypt_file_without_key':
data_file_path = args.dfp
encrypt_file_without_key(data_file_path, ip, port)
elif api == 'generate_primary_key':
generate_primary_key(ip, port)
elif api == 'generate_data_key':
encrypted_primary_key_path = args.pkp
generate_data_key(ip, port, encrypted_primary_key_path)
elif api == 'encrypt_file_with_key':
data_file_path = args.dfp
encrypted_primary_key_path = args.pkp
encrypted_data_key_path = args.dkp
encrypt_file_with_key(data_file_path, ip, port, encrypted_primary_key_path, encrypted_data_key_path)
elif api == 'decrypt_file':
data_file_path = args.dfp
encrypted_primary_key_path = args.pkp
encrypted_data_key_path = args.dkp
decrypt_file(data_file_path, ip, port, encrypted_primary_key_path, encrypted_data_key_path)
elif api == 'encrypt_directory_without_key':
dir_path = args.dir
save_path = args.sdp
encrypt_directory_without_key(dir_path, ip, port, save_path)
elif api == 'encrypt_directory_with_key':
dir_path = args.dir
encrypted_primary_key_path = args.pkp
encrypted_data_key_path = args.dkp
save_path = args.sdp
encrypt_directory_with_key(dir_path, ip, port, encrypted_primary_key_path, encrypted_data_key_path,save_path)
elif api == 'get_data_key_plaintext':
encrypted_primary_key_path = args.pkp
encrypted_data_key_path = args.dkp
get_data_key_plaintext(ip, port, encrypted_primary_key_path, encrypted_data_key_path)
elif api == 'decrypt_csv_columns':
encrypted_primary_key_path = args.pkp
encrypted_data_key_path = args.dkp
input_dir = args.dir
decrypt_csv_columns(ip, port, encrypted_primary_key_path, encrypted_data_key_path, input_dir)
| 48.678899 | 162 | 0.756502 | 764 | 5,306 | 4.841623 | 0.106021 | 0.083266 | 0.143823 | 0.14923 | 0.800216 | 0.710462 | 0.658016 | 0.622601 | 0.59881 | 0.517167 | 0 | 0.001332 | 0.150961 | 5,306 | 108 | 163 | 49.12963 | 0.819756 | 0 | 0 | 0.297619 | 1 | 0 | 0.153977 | 0.040332 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0.035714 | 0 | 0.154762 | 0.035714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 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 | 3 |
437636cec6e6db0e1d57ea57176f1d3764c018d4 | 692 | py | Python | 02_Cizim/02_bilgisayarlar_bir_goruntuyu_nasil_olusturur.py | REISOGLU53/OpenCV-Python | bedbd9c398308c7c25a5a36bc3160cad0f196bea | [
"MIT"
] | 2 | 2020-09-07T09:18:31.000Z | 2020-09-14T00:07:26.000Z | 02_Cizim/02_bilgisayarlar_bir_goruntuyu_nasil_olusturur.py | REISOGLU53/OpenCV-Python | bedbd9c398308c7c25a5a36bc3160cad0f196bea | [
"MIT"
] | null | null | null | 02_Cizim/02_bilgisayarlar_bir_goruntuyu_nasil_olusturur.py | REISOGLU53/OpenCV-Python | bedbd9c398308c7c25a5a36bc3160cad0f196bea | [
"MIT"
] | null | null | null | import cv2
import numpy as np
# renkli
"""canvas = np.zeros((10, 10, 3), dtype=np.uint8)
canvas[0, 0] = (255, 255, 255)
canvas[0, 1] = (255, 255, 200)
canvas[0, 2] = (255, 255, 150)
canvas[0, 3] = (255, 255, 15)
canvas = cv2.resize(canvas, (1000, 1000), interpolation=cv2.INTER_AREA)
cv2.imshow("Canvas", canvas)
cv2.waitKey(0)
cv2.destroyAllWindows()"""
"""
# siyah beyaz
canvas = np.zeros((10, 10), dtype=np.uint8)
canvas[0, 0] = 255
canvas[0, 1] = 200
canvas[0, 2] = 150
canvas[0, 3] = 15
canvas = cv2.resize(canvas, (1000, 1000), interpolation=cv2.INTER_AREA)
cv2.imshow("Canvas", canvas)
cv2.waitKey(0)
cv2.destroyAllWindows()
"""
| 16.878049 | 72 | 0.611272 | 104 | 692 | 4.048077 | 0.278846 | 0.133017 | 0.061758 | 0.071259 | 0.703088 | 0.622328 | 0.622328 | 0.513064 | 0.513064 | 0.513064 | 0 | 0.184783 | 0.202312 | 692 | 40 | 73 | 17.3 | 0.577899 | 0.008671 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
4381cca88730d0685c7c15a49f4a3de82a7fe9ff | 223 | py | Python | src/utils/torch_utils.py | hejm37/RODE | 1742ec87339bc1c875a878460d6c810d620bd044 | [
"Apache-2.0"
] | null | null | null | src/utils/torch_utils.py | hejm37/RODE | 1742ec87339bc1c875a878460d6c810d620bd044 | [
"Apache-2.0"
] | null | null | null | src/utils/torch_utils.py | hejm37/RODE | 1742ec87339bc1c875a878460d6c810d620bd044 | [
"Apache-2.0"
] | null | null | null | import torch
def to_cuda(module, device=None):
"""Assume module in cpu"""
if device is None:
return module.cuda()
elif device == 'cpu':
return module
else:
return module.to(device)
| 18.583333 | 33 | 0.596413 | 29 | 223 | 4.551724 | 0.551724 | 0.272727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.295964 | 223 | 11 | 34 | 20.272727 | 0.840764 | 0.089686 | 0 | 0 | 0 | 0 | 0.015228 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.625 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
43b686563ddbe830e5ec8830355b860ae6228556 | 460 | py | Python | x10_algo/3/sort.py | wolanx/pii | 6407199c41e1ac487c2cb1d798d2b3f65edbed41 | [
"Apache-2.0"
] | null | null | null | x10_algo/3/sort.py | wolanx/pii | 6407199c41e1ac487c2cb1d798d2b3f65edbed41 | [
"Apache-2.0"
] | null | null | null | x10_algo/3/sort.py | wolanx/pii | 6407199c41e1ac487c2cb1d798d2b3f65edbed41 | [
"Apache-2.0"
] | null | null | null | arr = [9, 5, 1, 4, 0, 7]
def quick_sort_v1(arr, l, r):
if l >= r:
return
x = l
y = r
base = arr[l]
while x <= y:
while x <= y and arr[y] > base:
y = y - 1
while x <= y and arr[y] < base:
x = x + 1
if x <= y:
arr[y], arr[x] = arr[x], arr[y]
x = x + 1
y = y + 1
quick_sort_v1(arr, l, y)
quick_sort_v1(arr, x, r)
quick_sort_v1(arr, 0, 5)
| 18.4 | 43 | 0.393478 | 83 | 460 | 2.084337 | 0.240964 | 0.208092 | 0.254335 | 0.323699 | 0.381503 | 0.208092 | 0.208092 | 0 | 0 | 0 | 0 | 0.063745 | 0.454348 | 460 | 24 | 44 | 19.166667 | 0.625498 | 0 | 0 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0 | 0 | 0.105263 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
43d7efba25be610dbbc2e5f55a5fb3cced5c87f9 | 19,564 | py | Python | toolium/test/pageelements/test_page_element.py | tanistra/toolium | d7f06c7ab9f264c42fe55eed4f9a3065512d910e | [
"Apache-2.0"
] | null | null | null | toolium/test/pageelements/test_page_element.py | tanistra/toolium | d7f06c7ab9f264c42fe55eed4f9a3065512d910e | [
"Apache-2.0"
] | null | null | null | toolium/test/pageelements/test_page_element.py | tanistra/toolium | d7f06c7ab9f264c42fe55eed4f9a3065512d910e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
u"""
Copyright 2015 Telefónica Investigación y Desarrollo, S.A.U.
This file is part of Toolium.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import os
import mock
import pytest
from selenium.common.exceptions import NoSuchElementException, TimeoutException
from selenium.webdriver.common.by import By
from selenium.webdriver.remote.webelement import WebElement
from toolium.config_files import ConfigFiles
from toolium.driver_wrapper import DriverWrapper
from toolium.driver_wrappers_pool import DriverWrappersPool
from toolium.pageelements import PageElement, Group
from toolium.pageobjects.page_object import PageObject
child_element = 'child_element'
mock_element = None
class MenuGroup(Group):
logo = PageElement(By.ID, 'image')
logo_wait = PageElement(By.ID, 'image2', wait=True)
class RegisterPageObject(PageObject):
username = PageElement(By.XPATH, '//input[0]')
password = PageElement(By.ID, 'password', username)
menu_group = MenuGroup(By.ID, 'menu')
def init_page_elements(self):
self.language = PageElement(By.ID, 'language')
self.email = PageElement(By.ID, 'email', mock_element)
self.address = PageElement(By.ID, 'address', (By.ID, 'parent'))
self.address_shadowroot = PageElement(By.CSS_SELECTOR, '#address', shadowroot='shadowroot_css')
self.address_shadowroot_by_id = PageElement(By.ID, 'address', shadowroot='shadowroot_css')
self.element_webview = PageElement(By.ID, 'webview', webview=True)
@pytest.fixture
def driver_wrapper():
"""Create a new mock element and a new driver before each test"""
global mock_element
mock_element = mock.MagicMock(spec=WebElement)
mock_element.find_element.return_value = child_element
# Reset wrappers pool values
DriverWrappersPool._empty_pool()
DriverWrapper.config_properties_filenames = None
# Create a new wrapper
driver_wrapper = DriverWrappersPool.get_default_wrapper()
# Configure wrapper
root_path = os.path.dirname(os.path.realpath(__file__))
config_files = ConfigFiles()
config_files.set_config_directory(os.path.join(root_path, 'conf'))
config_files.set_output_directory(os.path.join(root_path, 'output'))
config_files.set_config_log_filename('logging.conf')
DriverWrappersPool.configure_common_directories(config_files)
driver_wrapper.configure_properties()
driver_wrapper.driver = mock.MagicMock()
driver_wrapper.is_mobile_test = mock.MagicMock(return_value=False)
return driver_wrapper
def test_locator(driver_wrapper):
page_object = RegisterPageObject(driver_wrapper)
assert page_object.username.locator == (By.XPATH, '//input[0]')
assert page_object.password.locator == (By.ID, 'password')
def test_reset_object(driver_wrapper):
login_page = RegisterPageObject(driver_wrapper)
login_page.username.web_element
login_page.language.web_element
# Check that web elements are filled
assert login_page.username._web_element is not None
assert login_page.language._web_element is not None
login_page.username.reset_object()
# Check that only username is reset
assert login_page.username._web_element is None
assert login_page.language._web_element is not None
def test_reset_object_two_page_objects(driver_wrapper):
login_page = RegisterPageObject(driver_wrapper)
login_page.language.web_element
second_login_page = RegisterPageObject(driver_wrapper)
second_login_page.language.web_element
# Check that web elements are filled
assert login_page.language._web_element is not None
assert second_login_page.language._web_element is not None
login_page.language.reset_object()
# Check that only first language is reset
assert login_page.language._web_element is None
assert second_login_page.language._web_element is not None
def test_get_web_element(driver_wrapper):
RegisterPageObject(driver_wrapper).username.web_element
driver_wrapper.driver.find_element.assert_called_once_with(By.XPATH, '//input[0]')
def test_get_web_element_init_page(driver_wrapper):
RegisterPageObject(driver_wrapper).language.web_element
driver_wrapper.driver.find_element.assert_called_once_with(By.ID, 'language')
def test_get_web_element_with_parent(driver_wrapper):
driver_wrapper.driver.find_element.return_value = mock_element
web_element = RegisterPageObject(driver_wrapper).password.web_element
assert web_element == child_element
driver_wrapper.driver.find_element.assert_called_once_with(By.XPATH, '//input[0]')
mock_element.find_element.assert_called_once_with(By.ID, 'password')
def test_get_web_element_with_parent_locator(driver_wrapper):
driver_wrapper.driver.find_element.return_value = mock_element
web_element = RegisterPageObject(driver_wrapper).address.web_element
assert web_element == child_element
driver_wrapper.driver.find_element.assert_called_once_with(By.ID, 'parent')
mock_element.find_element.assert_called_once_with(By.ID, 'address')
def test_get_web_element_with_parent_web_element(driver_wrapper):
web_element = RegisterPageObject(driver_wrapper).email.web_element
assert web_element == child_element
driver_wrapper.driver.find_element.assert_not_called()
mock_element.find_element.assert_called_once_with(By.ID, 'email')
def test_get_web_element_shadowroot(driver_wrapper):
RegisterPageObject(driver_wrapper).address_shadowroot.web_element
expected_script = 'return document.querySelector("shadowroot_css").shadowRoot.querySelector("#address")'
mock_element.find_element.assert_not_called()
driver_wrapper.driver.execute_script.assert_called_once_with(expected_script)
def test_get_web_element_shadowroot_wrong_locator(driver_wrapper):
with pytest.raises(Exception) as excinfo:
RegisterPageObject(driver_wrapper).address_shadowroot_by_id.web_element
assert "Locator type should be CSS_SELECTOR using shadowroot but found: id" in str(excinfo.value)
mock_element.find_element.assert_not_called()
def test_get_web_element_in_test(driver_wrapper):
PageElement(By.XPATH, '//input[0]').web_element
driver_wrapper.driver.find_element.assert_called_once_with(By.XPATH, '//input[0]')
def test_get_web_element_two_times_saving_enabled(driver_wrapper):
driver_wrapper.config.set('Driver', 'save_web_element', 'true')
login_page = RegisterPageObject(driver_wrapper)
login_page.username.web_element
login_page.username.web_element
# Check that find_element is not called the second time
driver_wrapper.driver.find_element.assert_called_once_with(By.XPATH, '//input[0]')
def test_get_web_element_two_times_saving_disabled(driver_wrapper):
driver_wrapper.config.set('Driver', 'save_web_element', 'false')
login_page = RegisterPageObject(driver_wrapper)
login_page.username.web_element
login_page.username.web_element
# Check that find_element is called two times
assert driver_wrapper.driver.find_element.call_count == 2
def test_get_web_element_two_elements(driver_wrapper):
login_page = RegisterPageObject(driver_wrapper)
login_page.username.web_element
login_page.language.web_element
# Check that find_element is called two times
driver_wrapper.driver.find_element.assert_has_calls(
[mock.call(By.XPATH, '//input[0]'), mock.call(By.ID, 'language')])
def test_get_web_element_two_objects(driver_wrapper):
login_page = RegisterPageObject(driver_wrapper)
login_page.language.web_element
second_login_page = RegisterPageObject(driver_wrapper)
second_login_page.language.web_element
# Check that find_element is called two times
driver_wrapper.driver.find_element.assert_has_calls(
[mock.call(By.ID, 'language'), mock.call(By.ID, 'language')])
def test_get_web_element_exception(driver_wrapper):
driver_wrapper.driver.find_element.side_effect = NoSuchElementException('Unknown')
with pytest.raises(NoSuchElementException) as excinfo:
RegisterPageObject(driver_wrapper).username.web_element
assert "Page element of type 'PageElement' with locator ('xpath', '//input[0]') not found" in str(excinfo.value)
def test_is_present(driver_wrapper):
driver_wrapper.driver.find_element.return_value = mock_element
assert RegisterPageObject(driver_wrapper).username.is_present() is True
def test_is_present_not_found(driver_wrapper):
driver_wrapper.driver.find_element.side_effect = NoSuchElementException('Unknown')
assert RegisterPageObject(driver_wrapper).username.is_present() is False
def test_is_visible(driver_wrapper):
mock_element.is_displayed.return_value = True
driver_wrapper.driver.find_element.return_value = mock_element
assert RegisterPageObject(driver_wrapper).username.is_visible() is True
def test_is_visible_not_visible(driver_wrapper):
mock_element.is_displayed.return_value = False
driver_wrapper.driver.find_element.return_value = mock_element
assert RegisterPageObject(driver_wrapper).username.is_visible() is False
def test_is_visible_not_found(driver_wrapper):
driver_wrapper.driver.find_element.side_effect = NoSuchElementException('Unknown')
assert RegisterPageObject(driver_wrapper).username.is_visible() is False
def test_wait_until_visible(driver_wrapper):
driver_wrapper.utils.wait_until_element_visible = mock.MagicMock(return_value=mock_element)
page_element = RegisterPageObject(driver_wrapper).username
element = page_element.wait_until_visible()
assert element == page_element
def test_wait_until_visible_exception(driver_wrapper):
driver_wrapper.utils.wait_until_element_visible = mock.MagicMock()
driver_wrapper.utils.wait_until_element_visible.side_effect = TimeoutException('Unknown')
page_element = RegisterPageObject(driver_wrapper).username
with pytest.raises(TimeoutException) as excinfo:
page_element.wait_until_visible()
assert "Page element of type 'PageElement' with locator ('xpath', '//input[0]') not found or is not " \
"visible after 10 seconds" in str(excinfo.value)
def test_wait_until_visible_exception_custom_timeout(driver_wrapper):
driver_wrapper.utils.wait_until_element_visible = mock.MagicMock()
driver_wrapper.utils.wait_until_element_visible.side_effect = TimeoutException('Unknown')
page_element = RegisterPageObject(driver_wrapper).username
with pytest.raises(TimeoutException) as excinfo:
page_element.wait_until_visible(timeout=15)
assert "Page element of type 'PageElement' with locator ('xpath', '//input[0]') not found or is not " \
"visible after 15 seconds" in str(excinfo.value)
def test_wait_until_not_visible(driver_wrapper):
driver_wrapper.utils.wait_until_element_not_visible = mock.MagicMock(return_value=False)
page_element = RegisterPageObject(driver_wrapper).username
element = page_element.wait_until_not_visible()
assert element._web_element is None
assert element == page_element
def test_wait_until_not_visible_exception(driver_wrapper):
driver_wrapper.utils.wait_until_element_not_visible = mock.MagicMock()
driver_wrapper.utils.wait_until_element_not_visible.side_effect = TimeoutException('Unknown')
page_element = RegisterPageObject(driver_wrapper).username
with pytest.raises(TimeoutException) as excinfo:
page_element.wait_until_not_visible()
assert "Page element of type 'PageElement' with locator ('xpath', '//input[0]') is still " \
"visible after 10 seconds" in str(excinfo.value)
def test_wait_until_not_visible_exception_custom_timeout(driver_wrapper):
driver_wrapper.utils.wait_until_element_not_visible = mock.MagicMock()
driver_wrapper.utils.wait_until_element_not_visible.side_effect = TimeoutException('Unknown')
page_element = RegisterPageObject(driver_wrapper).username
with pytest.raises(TimeoutException) as excinfo:
page_element.wait_until_not_visible(timeout=15)
assert "Page element of type 'PageElement' with locator ('xpath', '//input[0]') is still " \
"visible after 15 seconds" in str(excinfo.value)
def test_wait_until_clickable(driver_wrapper):
driver_wrapper.utils.wait_until_element_clickable = mock.MagicMock(return_value=mock_element)
page_element = RegisterPageObject(driver_wrapper).username
element = page_element.wait_until_clickable()
assert element == page_element
def test_wait_until_clickable_exception(driver_wrapper):
driver_wrapper.utils.wait_until_element_clickable = mock.MagicMock()
driver_wrapper.utils.wait_until_element_clickable.side_effect = TimeoutException('Unknown')
page_element = RegisterPageObject(driver_wrapper).username
with pytest.raises(TimeoutException) as excinfo:
page_element.wait_until_clickable()
assert "Page element of type 'PageElement' with locator ('xpath', '//input[0]') not found or is not " \
"clickable after 10 seconds" in str(excinfo.value)
def test_wait_until_clickable_exception_custom_timeout(driver_wrapper):
driver_wrapper.utils.wait_until_element_clickable = mock.MagicMock()
driver_wrapper.utils.wait_until_element_clickable.side_effect = TimeoutException('Unknown')
page_element = RegisterPageObject(driver_wrapper).username
with pytest.raises(TimeoutException) as excinfo:
page_element.wait_until_clickable(timeout=15)
assert "Page element of type 'PageElement' with locator ('xpath', '//input[0]') not found or is not " \
"clickable after 15 seconds" in str(excinfo.value)
@mock.patch('toolium.visual_test.VisualTest.__init__', return_value=None)
@mock.patch('toolium.visual_test.VisualTest.assert_screenshot')
def test_assert_screenshot(visual_assert_screenshot, visual_init, driver_wrapper):
driver_wrapper.driver.find_element.return_value = mock_element
RegisterPageObject(driver_wrapper).username.assert_screenshot('filename')
visual_init.assert_called_once_with(driver_wrapper, False)
visual_assert_screenshot.assert_called_once_with(mock_element, 'filename', 'PageElement', 0, [])
@mock.patch('toolium.visual_test.VisualTest.__init__', return_value=None)
@mock.patch('toolium.visual_test.VisualTest.assert_screenshot')
def test_assert_screenshot_options(visual_assert_screenshot, visual_init, driver_wrapper):
driver_wrapper.driver.find_element.return_value = mock_element
RegisterPageObject(driver_wrapper).username.assert_screenshot('filename', threshold=0.1,
exclude_elements=[mock_element],
force=True)
visual_init.assert_called_once_with(driver_wrapper, True)
visual_assert_screenshot.assert_called_once_with(mock_element, 'filename', 'PageElement', 0.1, [mock_element])
def test_get_attribute(driver_wrapper):
driver_wrapper.driver.find_element.return_value = mock_element
RegisterPageObject(driver_wrapper).username.get_attribute('attribute_name')
mock_element.get_attribute.assert_called_once_with('attribute_name')
def test_automatic_context_selection_group(driver_wrapper):
driver_wrapper.utils.wait_until_element_visible = mock.MagicMock(return_value=mock_element)
driver_wrapper.is_mobile_test = mock.MagicMock(return_value=True)
driver_wrapper.config.set('Driver', 'automatic_context_selection', 'true')
driver_wrapper.driver.context = "NATIVE_APP"
driver_wrapper.driver.contexts = ["NATIVE_APP", "WEBVIEW"]
RegisterPageObject(driver_wrapper).menu_group.web_element
driver_wrapper.driver.switch_to.context.assert_not_called()
driver_wrapper.driver.find_element.assert_called_once_with(By.ID, 'menu')
def test_automatic_context_selection_no_webview_context_available(driver_wrapper):
driver_wrapper.is_mobile_test = mock.MagicMock(return_value=True)
driver_wrapper.config = mock.MagicMock()
driver_wrapper.config.set('Driver', 'automatic_context_selection', 'true')
driver_wrapper.driver.context = "NATIVE_APP"
driver_wrapper.driver.contexts = ["NATIVE_APP"]
with pytest.raises(Exception) as excinfo:
RegisterPageObject(driver_wrapper).element_webview.web_element
assert "WEBVIEW context not found" in str(excinfo.value)
def test_automatic_context_selection_native_to_webview(driver_wrapper):
driver_wrapper.is_mobile_test = mock.MagicMock(return_value=True)
driver_wrapper.config.set('Driver', 'automatic_context_selection', 'true')
driver_wrapper.driver.context = "NATIVE_APP"
driver_wrapper.driver.contexts = ["NATIVE_APP", "WEBVIEW"]
RegisterPageObject(driver_wrapper).element_webview.web_element
driver_wrapper.driver.switch_to.context.assert_called_once_with("WEBVIEW")
driver_wrapper.driver.find_element.assert_called_once_with(By.ID, 'webview')
def test_automatic_context_selection_webview_to_native(driver_wrapper):
driver_wrapper.is_mobile_test = mock.MagicMock(return_value=True)
driver_wrapper.config.set('Driver', 'automatic_context_selection', 'true')
driver_wrapper.driver.context = "WEBVIEW"
driver_wrapper.driver.contexts = ["NATIVE_APP", "WEBVIEW"]
RegisterPageObject(driver_wrapper).language.web_element
driver_wrapper.driver.switch_to.context.assert_called_once_with("NATIVE_APP")
driver_wrapper.driver.find_element.assert_called_once_with(By.ID, 'language')
def test_automatic_context_selection_native_to_native(driver_wrapper):
driver_wrapper.is_mobile_test = mock.MagicMock(return_value=True)
driver_wrapper.config.set('Driver', 'automatic_context_selection', 'true')
driver_wrapper.driver.context = "NATIVE_APP"
driver_wrapper.driver.contexts = ["NATIVE_APP", "WEBVIEW"]
RegisterPageObject(driver_wrapper).language.web_element
driver_wrapper.driver.switch_to.context.assert_not_called()
driver_wrapper.driver.find_element.assert_called_once_with(By.ID, 'language')
def test_automatic_context_selection_webview_to_webview(driver_wrapper):
driver_wrapper.is_mobile_test = mock.MagicMock(return_value=True)
driver_wrapper.config.set('Driver', 'automatic_context_selection', 'true')
driver_wrapper.driver.context = "WEBVIEW"
driver_wrapper.driver.contexts = ["NATIVE_APP", "WEBVIEW"]
RegisterPageObject(driver_wrapper).element_webview.web_element
driver_wrapper.driver.switch_to.context.assert_not_called()
driver_wrapper.driver.find_element.assert_called_once_with(By.ID, 'webview')
def test_automatic_context_selection_disabled(driver_wrapper):
driver_wrapper.is_mobile_test = mock.MagicMock(return_value=True)
driver_wrapper.config.set('Driver', 'automatic_context_selection', 'false')
PageElement._automatic_context_selection = mock.MagicMock()
RegisterPageObject(driver_wrapper).element_webview.web_element
PageElement._automatic_context_selection.assert_not_called()
driver_wrapper.driver.find_element.assert_called_once_with(By.ID, 'webview')
| 41.892934 | 116 | 0.789154 | 2,524 | 19,564 | 5.76664 | 0.095483 | 0.150052 | 0.095294 | 0.042666 | 0.788732 | 0.743868 | 0.723394 | 0.695294 | 0.675163 | 0.650223 | 0 | 0.002862 | 0.124821 | 19,564 | 466 | 117 | 41.982833 | 0.847214 | 0.055919 | 0 | 0.474403 | 0 | 0.013652 | 0.111298 | 0.023853 | 0 | 0 | 0 | 0 | 0.238908 | 1 | 0.143345 | false | 0.013652 | 0.037543 | 0 | 0.208191 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 3 |
43e0c60ba27f764a70ee0a635e9be2a6bf303fcd | 245 | py | Python | scripts/examples/OpenMV/02-Board-Control/adc_read_int_channel.py | jiskra/openmv | a0f321836f77f94d8118910598dcdb79eb784d58 | [
"MIT"
] | 1,761 | 2015-07-10T23:14:17.000Z | 2022-03-30T07:49:49.000Z | scripts/examples/OpenMV/02-Board-Control/adc_read_int_channel.py | jiskra/openmv | a0f321836f77f94d8118910598dcdb79eb784d58 | [
"MIT"
] | 487 | 2015-07-07T23:21:20.000Z | 2022-03-30T17:13:22.000Z | scripts/examples/OpenMV/02-Board-Control/adc_read_int_channel.py | jiskra/openmv | a0f321836f77f94d8118910598dcdb79eb784d58 | [
"MIT"
] | 882 | 2015-08-01T08:34:19.000Z | 2022-03-30T07:36:23.000Z | # ADC Internal Channels Example
#
# This example shows how to read internal ADC channels.
import time, pyb
adc = pyb.ADCAll(12)
print("VREF = %.1fv VREF = %.1fv Temp = %d" % (adc.read_core_vref(), adc.read_core_vbat(), adc.read_core_temp()))
| 27.222222 | 113 | 0.702041 | 39 | 245 | 4.25641 | 0.538462 | 0.126506 | 0.198795 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019324 | 0.155102 | 245 | 8 | 114 | 30.625 | 0.782609 | 0.338776 | 0 | 0 | 0 | 0 | 0.221519 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0.333333 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
78dcf6969b9b72d67fe391f21269e830fb87cb05 | 294 | py | Python | Input1.py | arpansarkar190794/Arpan_Sarkar | b36f66f0ed00668b005fae903ce463883a803fd5 | [
"bzip2-1.0.6"
] | null | null | null | Input1.py | arpansarkar190794/Arpan_Sarkar | b36f66f0ed00668b005fae903ce463883a803fd5 | [
"bzip2-1.0.6"
] | null | null | null | Input1.py | arpansarkar190794/Arpan_Sarkar | b36f66f0ed00668b005fae903ce463883a803fd5 | [
"bzip2-1.0.6"
] | null | null | null | print ("Enter a value" )
a = int (input())
print ("Enter b value" )
b = int (input())
print ("value of a is",a)
print ("value of b is",b)
print ("value of a+b value is", a+b)
print ("value of a-b value is", a-b)
print ("value of a*b value is", a*b)
print ("value of a/b value is", a/b) | 29.4 | 37 | 0.591837 | 62 | 294 | 2.806452 | 0.145161 | 0.091954 | 0.413793 | 0.373563 | 0.534483 | 0.534483 | 0.534483 | 0.534483 | 0.534483 | 0.534483 | 0 | 0 | 0.217687 | 294 | 10 | 38 | 29.4 | 0.756522 | 0 | 0 | 0 | 0 | 0 | 0.475524 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.8 | 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 | 1 | 0 | 3 |
78f3d0cb0ff5c893ba499715329b42b045428a6c | 898 | py | Python | example/myshop/models/__init__.py | Iv/django-shop | aa52dce6e9115d3b7a913ffa6027f978260b324c | [
"BSD-3-Clause"
] | null | null | null | example/myshop/models/__init__.py | Iv/django-shop | aa52dce6e9115d3b7a913ffa6027f978260b324c | [
"BSD-3-Clause"
] | null | null | null | example/myshop/models/__init__.py | Iv/django-shop | aa52dce6e9115d3b7a913ffa6027f978260b324c | [
"BSD-3-Clause"
] | 1 | 2020-01-10T01:51:07.000Z | 2020-01-10T01:51:07.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.conf import settings
# import default models from djangoSHOP to materialize them
from shop.models.defaults.address import Address
from shop.models.defaults.cart import Cart
from shop.models.defaults.cart_item import CartItem
from shop.models.defaults.order import Order
from shop.models.defaults.customer import Customer
# models defined by the myshop instance itself
if settings.SHOP_TUTORIAL == 'simple':
from .simple.order import OrderItem
from .simple.smartcard import SmartCard
elif settings.SHOP_TUTORIAL == 'i18n':
from .simple.order import OrderItem
from .i18n.smartcard import SmartCard
elif settings.SHOP_TUTORIAL == 'polymorphic':
from .polymorphic.order import OrderItem
from .polymorphic.smartcard import SmartCard
from .polymorphic.smartphone import SmartPhoneModel, SmartPhone
| 39.043478 | 67 | 0.798441 | 115 | 898 | 6.156522 | 0.356522 | 0.056497 | 0.09887 | 0.155367 | 0.305085 | 0.231638 | 0.135593 | 0 | 0 | 0 | 0 | 0.006435 | 0.134744 | 898 | 22 | 68 | 40.818182 | 0.904762 | 0.138085 | 0 | 0.117647 | 0 | 0 | 0.027273 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.823529 | 0 | 0.823529 | 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 | 1 | 0 | 0 | 3 |
78ff5bdf925c32f883b186460e43ddf29044942c | 1,485 | py | Python | python/ray/rllib/models/action_dist.py | tonymackinnon/ray | 14a1419682bdba40d2c8bf226e1727cf44abcaa4 | [
"Apache-2.0"
] | 1 | 2019-08-17T21:24:17.000Z | 2019-08-17T21:24:17.000Z | python/ray/rllib/models/action_dist.py | tonymackinnon/ray | 14a1419682bdba40d2c8bf226e1727cf44abcaa4 | [
"Apache-2.0"
] | null | null | null | python/ray/rllib/models/action_dist.py | tonymackinnon/ray | 14a1419682bdba40d2c8bf226e1727cf44abcaa4 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from ray.rllib.utils.annotations import DeveloperAPI
@DeveloperAPI
class ActionDistribution(object):
"""The policy action distribution of an agent.
Args:
inputs (Tensor): The input vector to compute samples from.
"""
@DeveloperAPI
def __init__(self, inputs):
self.inputs = inputs
@DeveloperAPI
def sample(self):
"""Draw a sample from the action distribution."""
raise NotImplementedError
@DeveloperAPI
def logp(self, x):
"""The log-likelihood of the action distribution."""
raise NotImplementedError
@DeveloperAPI
def kl(self, other):
"""The KL-divergence between two action distributions."""
raise NotImplementedError
@DeveloperAPI
def entropy(self):
"""The entropy of the action distribution."""
raise NotImplementedError
def multi_kl(self, other):
"""The KL-divergence between two action distributions.
This differs from kl() in that it can return an array for
MultiDiscrete. TODO(ekl) consider removing this.
"""
return self.kl(other)
def multi_entropy(self):
"""The entropy of the action distribution.
This differs from entropy() in that it can return an array for
MultiDiscrete. TODO(ekl) consider removing this.
"""
return self.entropy()
| 27 | 70 | 0.668013 | 168 | 1,485 | 5.785714 | 0.380952 | 0.092593 | 0.08642 | 0.080247 | 0.512346 | 0.512346 | 0.485597 | 0.36214 | 0.271605 | 0.271605 | 0 | 0 | 0.255219 | 1,485 | 54 | 71 | 27.5 | 0.878843 | 0.408754 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037037 | 0 | 1 | 0.28 | false | 0 | 0.16 | 0 | 0.56 | 0.04 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
60068459dc64c9284341a735735def83d64f91f1 | 9,173 | py | Python | tests/integration/ui_write/test_icephys.py | t-b/pynwb | b58e7b003247485120380360bb112bc6b22c7e60 | [
"BSD-3-Clause-LBNL"
] | 1 | 2021-04-13T20:47:36.000Z | 2021-04-13T20:47:36.000Z | tests/integration/ui_write/test_icephys.py | t-b/pynwb | b58e7b003247485120380360bb112bc6b22c7e60 | [
"BSD-3-Clause-LBNL"
] | null | null | null | tests/integration/ui_write/test_icephys.py | t-b/pynwb | b58e7b003247485120380360bb112bc6b22c7e60 | [
"BSD-3-Clause-LBNL"
] | null | null | null | from pynwb.icephys import (IntracellularElectrode, PatchClampSeries, CurrentClampStimulusSeries,
VoltageClampStimulusSeries, CurrentClampSeries,
VoltageClampSeries, IZeroClampSeries)
from pynwb.device import Device
from . import base
from abc import ABCMeta
from six import with_metaclass
class TestIntracellularElectrode(base.TestMapRoundTrip):
def setUpContainer(self):
self.device = Device(name='device_name')
self.elec = IntracellularElectrode(name="elec0", slice='tissue slice',
resistance='something measured in ohms',
seal='sealing method', description='a fake electrode object',
location='Springfield Elementary School',
filtering='a meaningless free-form text field',
initial_access_resistance='I guess this changes',
device=self.device)
return self.elec
def addContainer(self, nwbfile):
''' Should take an NWBFile object and add the container to it '''
nwbfile.add_ic_electrode(self.elec)
nwbfile.add_device(self.device)
def getContainer(self, nwbfile):
''' Should take an NWBFile object and return the Container'''
return nwbfile.get_ic_electrode(self.container.name)
class TestPatchClampSeries(with_metaclass(ABCMeta, base.TestDataInterfaceIO)):
def setUpElectrode(self):
self.device = Device(name='device_name')
self.elec = IntracellularElectrode(name="elec0", slice='tissue slice',
resistance='something measured in ohms',
seal='sealing method', description='a fake electrode object',
location='Springfield Elementary School',
filtering='a meaningless free-form text field',
initial_access_resistance='I guess this changes',
device=self.device)
def addContainer(self, nwbfile):
''' Should take an NWBFile object and add the container to it '''
nwbfile.add_ic_electrode(self.elec)
nwbfile.add_device(self.device)
super(TestPatchClampSeries, self).addContainer(nwbfile)
def setUpContainer(self):
self.setUpElectrode()
return PatchClampSeries(name="pcs", data=[1, 2, 3, 4, 5], unit='A',
starting_time=123.6, rate=10e3, electrode=self.elec, gain=0.126,
stimulus_description="gotcha ya!", sweep_number=4711)
class TestCurrentClampStimulusSeries(TestPatchClampSeries):
def setUpContainer(self):
self.setUpElectrode()
return CurrentClampStimulusSeries(name="ccss", data=[1, 2, 3, 4, 5], unit='A',
starting_time=123.6, rate=10e3, electrode=self.elec, gain=0.126)
class TestVoltageClampStimulusSeries(TestPatchClampSeries):
def setUpContainer(self):
self.setUpElectrode()
return VoltageClampStimulusSeries(name="vcss", data=[1, 2, 3, 4, 5], unit='A',
starting_time=123.6, rate=10e3, electrode=self.elec, gain=0.126)
class TestCurrentClampSeries(TestPatchClampSeries):
def setUpContainer(self):
self.setUpElectrode()
return CurrentClampSeries(name="ccs", data=[1, 2, 3, 4, 5], unit='A',
starting_time=123.6, rate=10e3, electrode=self.elec, gain=0.126,
bias_current=1.2, bridge_balance=2.3, capacitance_compensation=3.45)
class TestVoltageClampSeries(TestPatchClampSeries):
def setUpContainer(self):
self.setUpElectrode()
return VoltageClampSeries(name="vcs", data=[1, 2, 3, 4, 5], unit='A',
starting_time=123.6, rate=10e3, electrode=self.elec,
gain=0.126, capacitance_fast=1.2, capacitance_slow=2.3,
resistance_comp_bandwidth=3.45, resistance_comp_correction=4.5,
resistance_comp_prediction=5.678, whole_cell_capacitance_comp=6.789,
whole_cell_series_resistance_comp=0.7)
class TestIZeroClampSeries(TestPatchClampSeries):
def setUpContainer(self):
self.setUpElectrode()
return IZeroClampSeries(name="izcs", data=[1, 2, 3, 4, 5], unit='A',
starting_time=123.6, rate=10e3, electrode=self.elec, gain=0.126,
bias_current=1.2, bridge_balance=2.3, capacitance_compensation=3.45)
class TestSweepTableRoundTripEasy(base.TestMapRoundTrip):
def setUpContainer(self):
# will be overwritten in addContainer
return None
def addContainer(self, nwbfile):
device = Device(name='device_name')
nwbfile.add_device(device)
elec = IntracellularElectrode(name="elec0", slice='tissue slice',
resistance='something measured in ohms',
seal='sealing method', description='a fake electrode object',
location='Springfield Elementary School',
filtering='a meaningless free-form text field',
initial_access_resistance='I guess this changes',
device=device)
nwbfile.add_ic_electrode(elec)
pcs = PatchClampSeries(name="pcs", data=[1, 2, 3, 4, 5], unit='A',
starting_time=123.6, rate=10e3, electrode=elec, gain=0.126,
stimulus_description="gotcha ya!", sweep_number=4711)
nwbfile.add_acquisition(pcs)
self.container = nwbfile.sweep_table
self.assertEqual(len(self.container['series'].data), 1)
self.assertEqual(self.container.id[0], 0)
self.assertEqual(self.container['sweep_number'].data[0], 4711)
def getContainer(self, nwbfile):
return nwbfile.sweep_table
class TestSweepTableRoundTripComplicated(base.TestMapRoundTrip):
def setUpContainer(self):
# will be overwritten in addContainer
return None
def addContainer(self, nwbfile):
device = Device(name='device_name')
nwbfile.add_device(device)
elec = IntracellularElectrode(name="elec0", slice='tissue slice',
resistance='something measured in ohms',
seal='sealing method', description='a fake electrode object',
location='Springfield Elementary School',
filtering='a meaningless free-form text field',
initial_access_resistance='I guess this changes',
device=device)
nwbfile.add_ic_electrode(elec)
self.pcs1 = PatchClampSeries(name="pcs1", data=[1, 2, 3, 4, 5], unit='A',
starting_time=123.6, rate=10e3, electrode=elec, gain=0.126,
stimulus_description="gotcha ya!", sweep_number=4711)
nwbfile.add_acquisition(self.pcs1)
self.pcs2a = PatchClampSeries(name="pcs2a", data=[1, 2, 3, 4, 5], unit='A',
starting_time=123.6, rate=10e3, electrode=elec, gain=0.126,
stimulus_description="gotcha ya!", sweep_number=4712)
nwbfile.add_stimulus_template(self.pcs2a)
self.pcs2b = PatchClampSeries(name="pcs2b", data=[1, 2, 3, 4, 5], unit='A',
starting_time=123.6, rate=10e3, electrode=elec, gain=0.126,
stimulus_description="gotcha ya!", sweep_number=4712)
nwbfile.add_stimulus(self.pcs2b)
self.container = nwbfile.sweep_table
self.assertEqual(len(self.container['series'].data), 3)
self.assertEqual(self.container['sweep_number'].data[0], 4711)
self.assertEqual(self.container['sweep_number'].data[1], 4712)
self.assertEqual(self.container['sweep_number'].data[2], 4712)
series = self.container.get_series(4711)
self.assertEqual(len(series), 1)
names = [elem.name for elem in series]
self.assertEqual(names, ["pcs1"])
sweep_numbers = [elem.sweep_number for elem in series]
self.assertEqual(sweep_numbers, [4711])
series = self.container.get_series(4712)
self.assertEqual(len(series), 2)
names = [elem.name for elem in series]
self.assertEqual(names, ["pcs2a", "pcs2b"])
sweep_numbers = [elem.sweep_number for elem in series]
self.assertEqual(sweep_numbers, [4712, 4712])
def getContainer(self, nwbfile):
return nwbfile.sweep_table
| 47.041026 | 106 | 0.58247 | 924 | 9,173 | 5.685065 | 0.161255 | 0.00495 | 0.011422 | 0.013326 | 0.754616 | 0.736912 | 0.728346 | 0.650105 | 0.624024 | 0.605749 | 0 | 0.044127 | 0.320615 | 9,173 | 194 | 107 | 47.283505 | 0.79878 | 0.026709 | 0 | 0.633803 | 0 | 0 | 0.097441 | 0 | 0 | 0 | 0 | 0 | 0.091549 | 1 | 0.119718 | false | 0 | 0.035211 | 0.028169 | 0.302817 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 3 |
601ee33a6bb344512a18d08d432a2f7f003f05e4 | 445 | py | Python | pytorch/torch/nn/parallel/__init__.py | raghavnauhria/whatmt | c20483a437c82936cb0fb8080925e37b9c4bba87 | [
"MIT"
] | null | null | null | pytorch/torch/nn/parallel/__init__.py | raghavnauhria/whatmt | c20483a437c82936cb0fb8080925e37b9c4bba87 | [
"MIT"
] | 1 | 2019-07-22T09:48:46.000Z | 2019-07-22T09:48:46.000Z | pytorch/torch/nn/parallel/__init__.py | raghavnauhria/whatmt | c20483a437c82936cb0fb8080925e37b9c4bba87 | [
"MIT"
] | null | null | null | from .parallel_apply import parallel_apply
from .replicate import replicate
from .data_parallel import DataParallel, data_parallel
from .scatter_gather import scatter, gather
from .distributed import DistributedDataParallel
from .distributed_cpu import DistributedDataParallelCPU
__all__ = ['replicate', 'scatter', 'parallel_apply', 'gather', 'data_parallel',
'DataParallel', 'DistributedDataParallel', 'DistributedDataParallelCPU']
| 44.5 | 83 | 0.81573 | 43 | 445 | 8.162791 | 0.325581 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107865 | 445 | 9 | 84 | 49.444444 | 0.884131 | 0 | 0 | 0 | 0 | 0 | 0.247191 | 0.110112 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.75 | 0 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
6027ea8faf99094399cd3227372f9660393f0590 | 1,768 | py | Python | src/domain/notification_sender_factory.py | sergicollado/json_redo | 89ed514e441f7038f18fe1833f2c49a4bf08ef19 | [
"CC0-1.0"
] | null | null | null | src/domain/notification_sender_factory.py | sergicollado/json_redo | 89ed514e441f7038f18fe1833f2c49a4bf08ef19 | [
"CC0-1.0"
] | null | null | null | src/domain/notification_sender_factory.py | sergicollado/json_redo | 89ed514e441f7038f18fe1833f2c49a4bf08ef19 | [
"CC0-1.0"
] | null | null | null | from domain.notification_sender_abstract import NotificationSenderAbstract
from domain.notification_types import NotificationType
from infrastructure.message_client import MessageClient
from domain.validators import PostNotificationValidator, SmsNotificationValidator, EmailNotificationValidator
class NotificationSenderFactory:
def __init__(self, message_client: MessageClient):
self.message_client = message_client
def get_sender(self, sender_type: str):
if sender_type == NotificationType.POST.value:
return PostNotificationSender(self.message_client)
if sender_type == NotificationType.SMS.value:
return SmsNotificationSender(self.message_client)
if sender_type == NotificationType.EMAIL.value:
return EmailNotificationSender(self.message_client)
class PostNotificationSender(NotificationSenderAbstract):
def __init__(self, message_client: MessageClient) -> None:
self.message_client = message_client
def send(self, data) -> None:
PostNotificationValidator().validate(data)
self.message_client.send_post(data['url'], data)
class SmsNotificationSender(NotificationSenderAbstract):
def __init__(self, message_client: MessageClient) -> None:
self.message_client = message_client
def send(self, data) -> None:
SmsNotificationValidator().validate(data)
self.message_client.send_sms(data['phone'], data)
class EmailNotificationSender(NotificationSenderAbstract):
def __init__(self, message_client: MessageClient) -> None:
self.message_client = message_client
def send(self, data) -> None:
EmailNotificationValidator().validate(data)
self.message_client.send_email(data['email'], data) | 42.095238 | 109 | 0.756787 | 172 | 1,768 | 7.511628 | 0.232558 | 0.191176 | 0.184211 | 0.055728 | 0.469814 | 0.469814 | 0.339009 | 0.26935 | 0.26935 | 0.26935 | 0 | 0 | 0.164593 | 1,768 | 42 | 110 | 42.095238 | 0.874746 | 0 | 0 | 0.3125 | 0 | 0 | 0.007349 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.125 | 0 | 0.59375 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
603ec7c6c5850d3564a084b67eb6a53715d945ec | 4,660 | py | Python | lib/python2.7/site-packages/esys/lsm/vis/core/cylinderExtractor.py | danielfrascarelli/esys-particle | e56638000fd9c4af77e21c75aa35a4f8922fd9f0 | [
"Apache-2.0"
] | null | null | null | lib/python2.7/site-packages/esys/lsm/vis/core/cylinderExtractor.py | danielfrascarelli/esys-particle | e56638000fd9c4af77e21c75aa35a4f8922fd9f0 | [
"Apache-2.0"
] | null | null | null | lib/python2.7/site-packages/esys/lsm/vis/core/cylinderExtractor.py | danielfrascarelli/esys-particle | e56638000fd9c4af77e21c75aa35a4f8922fd9f0 | [
"Apache-2.0"
] | null | null | null | #############################################################
## ##
## Copyright (c) 2003-2017 by The University of Queensland ##
## Centre for Geoscience Computing ##
## http://earth.uq.edu.au/centre-geoscience-computing ##
## ##
## Primary Business: Brisbane, Queensland, Australia ##
## Licensed under the Open Software License version 3.0 ##
## http://www.apache.org/licenses/LICENSE-2.0 ##
## ##
#############################################################
"""
Defines the L{CylinderExtractor} class.
"""
from .color import Colors
from .extractor import Extractor
class CylinderExtractor(Extractor):
"""
Objects of this class can be used in conjunction with the
L{esys.lsm.vis.core.GlyphData} class for extracting cylinder
info from data-records.
"""
def __init__(
self,
radiusMap = lambda dataRecord: dataRecord.getRadius(),
endPt1Map = lambda dataRecord: dataRecord.getEndPt1(),
endPt2Map = lambda dataRecord: dataRecord.getEndPt2(),
modifierMap = lambda dataRecord: None,
radiusScale = 1.0
):
"""
Constructs the extractor.
@type radiusMap: callable
@param radiusMap: A callable which accepts a single data-record
argument and returns a radius (float) value.
@type endPt1Map: callable
@param endPt1Map: A callable which accepts a single data-record
argument and returns a 3 float-element sequence (ie a 3D coordinate).
@type endPt2Map: callable
@param endPt2Map: A callable which accepts a single data-record
argument and returns a 3 float-element sequence (ie a 3D coordinate).
@type modifierMap: callable
@param modifierMap: A callable which accepts a single data-record
argument and returns an object modifier (or sequence of modifiers).
"""
self.radiusMap = radiusMap
self.endPt1Map = endPt1Map
self.endPt2Map = endPt2Map
self.modifierMap = modifierMap
self.radiusScale = radiusScale
def getRadius(self, dataRecord):
return self.radiusMap(dataRecord)*self.radiusScale
def getEndPt1(self, dataRecord):
return self.endPt1Map(dataRecord)
def getEndPt2(self, dataRecord):
return self.endPt2Map(dataRecord)
def getModifier(self, dataRecord):
return self.modifierMap(dataRecord)
def getRadiusScale(self):
return self.radiusScale
class DiskExtractor(Extractor):
"""
Objects of this class can be used in conjunction with the
L{esys.lsm.vis.core.GlyphData} class for extracting cylinder
info from data-records.
"""
def __init__(
self,
radiusMap = lambda dataRecord: dataRecord.getRadius(),
centerMap = lambda dataRecord: dataRecord.getCenter(),
heightMap = lambda dataRecord: 0.001,
directionMap = lambda dataRecord: None,
modifierMap = lambda dataRecord: None,
radiusScale = 1.0
):
"""
Constructs the extractor.
@type radiusMap: callable
@param radiusMap: A callable which accepts a single data-record
argument and returns a radius (float) value.
@type centerMap: callable
@param centerMap: A callable which accepts a single data-record
argument and returns a 3 float-element sequence (ie a 3D coordinate).
@type heightMap: callable
@param heightMap: A callable which accepts a single data-record
argument and returns a float (height of the cylinder).
@type modifierMap: callable
@param modifierMap: A callable which accepts a single data-record
argument and returns a color.
"""
self.radiusMap = radiusMap
self.centerMap = centerMap
self.heightMap = heightMap
self.directionMap = directionMap
self.modifierMap = modifierMap
self.radiusScale = radiusScale
def getRadius(self, dataRecord):
return self.radiusMap(dataRecord)*self.radiusScale
def getCenter(self, dataRecord):
return self.centerMap(dataRecord)
def getHeight(self, dataRecord):
return self.heightMap(dataRecord)
def getDirection(self, dataRecord):
return self.directionMap(dataRecord)
def getModifier(self, dataRecord):
return self.modifierMap(dataRecord)
def getRadiusScale(self):
return self.radiusScale
| 37.580645 | 77 | 0.618884 | 471 | 4,660 | 6.106157 | 0.242038 | 0.038248 | 0.062587 | 0.075104 | 0.599096 | 0.599096 | 0.599096 | 0.599096 | 0.599096 | 0.599096 | 0 | 0.012564 | 0.282618 | 4,660 | 123 | 78 | 37.886179 | 0.847742 | 0.429399 | 0 | 0.555556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.240741 | false | 0 | 0.037037 | 0.203704 | 0.518519 | 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 | 1 | 0 | 0 | 3 |
605a544676a7094cbf40cc0c7b8f9c956f194593 | 184 | py | Python | src/apps/main/urls.py | markusnussbaum/binaryanalyzer | fa1eae1f7393c4fb5de57d9a46dadbb674da50cb | [
"FSFAP"
] | null | null | null | src/apps/main/urls.py | markusnussbaum/binaryanalyzer | fa1eae1f7393c4fb5de57d9a46dadbb674da50cb | [
"FSFAP"
] | null | null | null | src/apps/main/urls.py | markusnussbaum/binaryanalyzer | fa1eae1f7393c4fb5de57d9a46dadbb674da50cb | [
"FSFAP"
] | null | null | null | from django.conf.urls import url
from django.views.decorators.csrf import csrf_exempt
from src.apps.main import views
urlpatterns = [
url(r'^$', views.HomepageView.as_view()),
]
| 20.444444 | 52 | 0.75 | 27 | 184 | 5.037037 | 0.666667 | 0.147059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130435 | 184 | 8 | 53 | 23 | 0.85 | 0 | 0 | 0 | 0 | 0 | 0.01087 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
608b0630d60b01e43504e300da94b6249c9c5d34 | 510 | py | Python | Day 04/lists.py | Dheer08/Python-Projects | 05d0e5e6613f924ab083e13f28a7a0446bd34434 | [
"MIT"
] | null | null | null | Day 04/lists.py | Dheer08/Python-Projects | 05d0e5e6613f924ab083e13f28a7a0446bd34434 | [
"MIT"
] | null | null | null | Day 04/lists.py | Dheer08/Python-Projects | 05d0e5e6613f924ab083e13f28a7a0446bd34434 | [
"MIT"
] | null | null | null | states_of_america = ["Delware","Pennsylvanai","Mary land","Texas","New Jersey"]
print(states_of_america[0]) # Be careful for index out of range error
print(states_of_america[-1])
states_of_america.append("Hawaii")
print(states_of_america)
states_of_america.extend(["Rakshith","Dheer"])
print(states_of_america)
# You do not need to remember for all functions you can use documentation for that
# If you remember everything you do not have space for important stuff
# You should spend time in working out
| 30 | 82 | 0.780392 | 81 | 510 | 4.740741 | 0.592593 | 0.145833 | 0.273438 | 0.208333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004474 | 0.123529 | 510 | 16 | 83 | 31.875 | 0.854586 | 0.443137 | 0 | 0.285714 | 0 | 0 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.571429 | 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 | 1 | 0 | 3 |
60980ec3569ca79f43b5d4a67700d862f18611ef | 637 | py | Python | tests/test_multiprocessing.py | zhubonan/monty | 716ee2b8fa345c65d03d382bc136b6eaebb12bee | [
"MIT"
] | 36 | 2015-12-08T00:58:21.000Z | 2022-03-26T14:49:37.000Z | tests/test_multiprocessing.py | zhubonan/monty | 716ee2b8fa345c65d03d382bc136b6eaebb12bee | [
"MIT"
] | 226 | 2015-05-05T13:07:27.000Z | 2022-03-23T20:14:24.000Z | tests/test_multiprocessing.py | zhubonan/monty | 716ee2b8fa345c65d03d382bc136b6eaebb12bee | [
"MIT"
] | 35 | 2015-03-05T14:28:41.000Z | 2022-02-24T00:17:37.000Z | import unittest
from monty.multiprocessing import imap_tqdm
from math import sqrt
class FuncCase(unittest.TestCase):
def test_imap_tqdm(self):
results = imap_tqdm(4, sqrt, range(10000))
self.assertEqual(len(results), 10000)
self.assertEqual(results[0], 0)
self.assertEqual(results[400], 20)
self.assertEqual(results[9999], 99.99499987499375)
results = imap_tqdm(4, sqrt, (i ** 2 for i in range(10000)))
self.assertEqual(len(results), 10000)
self.assertEqual(results[0], 0)
self.assertEqual(results[400], 400)
if __name__ == "__main__":
unittest.main()
| 28.954545 | 68 | 0.66876 | 81 | 637 | 5.098765 | 0.419753 | 0.254237 | 0.266344 | 0.077482 | 0.527845 | 0.430993 | 0.430993 | 0.430993 | 0.430993 | 0.430993 | 0 | 0.115308 | 0.210361 | 637 | 21 | 69 | 30.333333 | 0.705765 | 0 | 0 | 0.25 | 0 | 0 | 0.012559 | 0 | 0 | 0 | 0 | 0 | 0.4375 | 1 | 0.0625 | false | 0 | 0.1875 | 0 | 0.3125 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
60d16bedb1b901a0f1647e9d2f453ad60e617116 | 305 | py | Python | Python/WebSpider/changeIP.py | qiaw99/selflerning | c6d78b41770670057dc79f1146f638948b7a1e46 | [
"MIT"
] | 1 | 2019-09-23T08:05:45.000Z | 2019-09-23T08:05:45.000Z | Python/WebSpider/changeIP.py | qiaw99/selflerning | c6d78b41770670057dc79f1146f638948b7a1e46 | [
"MIT"
] | 1 | 2019-09-07T13:20:43.000Z | 2019-09-07T13:20:43.000Z | Python/WebSpider/changeIP.py | qiaw99/selflerning | c6d78b41770670057dc79f1146f638948b7a1e46 | [
"MIT"
] | null | null | null | import urllib.request
url = 'http://whatismyip.com.tw/'
proxy_support = urllib.request.ProxyHandler({'http':'149.233.62.29'})
opener = urllib.request.build_opener(proxy_support)
urllib.request.install_opener(opener)
response = urllib.request.urlopen(url)
html = response.read.decode('utf-8')
print(html)
| 30.5 | 69 | 0.77377 | 43 | 305 | 5.395349 | 0.604651 | 0.280172 | 0.155172 | 0.215517 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.038596 | 0.065574 | 305 | 9 | 70 | 33.888889 | 0.775439 | 0 | 0 | 0 | 0 | 0 | 0.154098 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0.125 | 0 | 0 | 0 | null | 1 | 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 | 3 |
88025e570d1f9adf9486f2da1148b591482d787d | 1,259 | py | Python | tests/test_skus.py | aellerton/gilt-python | a57e7f8f3af5eecb994cabdcd9fb4866c2a3af20 | [
"Apache-2.0"
] | 1 | 2017-04-25T09:10:30.000Z | 2017-04-25T09:10:30.000Z | tests/test_skus.py | aellerton/gilt-python | a57e7f8f3af5eecb994cabdcd9fb4866c2a3af20 | [
"Apache-2.0"
] | 1 | 2016-11-26T02:31:14.000Z | 2016-11-27T07:23:53.000Z | tests/test_skus.py | aellerton/gilt-python | a57e7f8f3af5eecb994cabdcd9fb4866c2a3af20 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import unittest
from gilt.rest.resources import json
from gilt.rest.resources import Sku
class SkuTest(unittest.TestCase):
def setUp(self):
with open('tests/resources/product-detail-93603981.json') as src:
self.json_content = json.load(src)
def test_sku_1(self):
self.assertTrue('skus' in self.json_content)
json_skus = self.json_content['skus']
self.assertEquals(len(json_skus), 4)
json_sku = json_skus[0]
self.assertTrue(isinstance(json_sku, dict))
sku = Sku.load_json(json_sku)
print sku
self.assertEquals(sku.id, 1225400)
self.assertEquals(sku.inventory_status, 'for sale')
self.assertEquals(sku.is_for_sale, True)
self.assertEquals(sku.msrp_price, 530.0)
self.assertEquals(sku.sale_price, 99.0)
self.assertEquals(len(sku.attributes), 2)
self.assertEquals(len(sku._attribute_index), 2)
self.assertTrue('color' in sku._attribute_index)
attribute = sku.attribute('color')
self.assertTrue(attribute is not None)
self.assertEquals(attribute.name, 'color')
self.assertEquals(attribute.value, 'black')
attribute = sku.attribute('hue')
self.assertEquals(attribute.name, 'hue')
self.assertEquals(attribute.value, 'dark')
| 33.131579 | 69 | 0.717236 | 171 | 1,259 | 5.157895 | 0.374269 | 0.217687 | 0.10771 | 0.047619 | 0.061224 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025472 | 0.158062 | 1,259 | 37 | 70 | 34.027027 | 0.806604 | 0.015886 | 0 | 0 | 0 | 0 | 0.072698 | 0.035541 | 0 | 0 | 0 | 0 | 0.533333 | 0 | null | null | 0 | 0.1 | null | null | 0.033333 | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
88037c663e6cca8d683a046bad46e60a2df8e562 | 84 | py | Python | paytm/__init__.py | Faisal-Manzer/django-paytm-checkout | bc796fca160f2664d85d0a09acf558532cc74442 | [
"MIT"
] | 10 | 2019-11-08T12:10:19.000Z | 2019-11-16T09:59:45.000Z | paytm/__init__.py | Faisal-Manzer/django-paytm-checkout | bc796fca160f2664d85d0a09acf558532cc74442 | [
"MIT"
] | 6 | 2019-11-09T09:16:46.000Z | 2022-02-10T11:30:55.000Z | paytm/__init__.py | Faisal-Manzer/django-paytm-checkout | bc796fca160f2664d85d0a09acf558532cc74442 | [
"MIT"
] | 1 | 2020-06-02T15:56:56.000Z | 2020-06-02T15:56:56.000Z | __all__ = ['conf']
from paytm.settings import Configuration
conf = Configuration()
| 16.8 | 40 | 0.761905 | 9 | 84 | 6.666667 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130952 | 84 | 4 | 41 | 21 | 0.821918 | 0 | 0 | 0 | 0 | 0 | 0.047619 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
71462352906e5a08966ac573b4503cd3621e55d4 | 9,286 | py | Python | bin/api_connector_splunk/solnlib/packages/schematics/datastructures.py | CyberGRX/api-connector-splunk | 7f1db1cecb7ae367c1882c3188dc9f8bcb6bc4c6 | [
"MIT"
] | 106 | 2018-03-09T13:03:05.000Z | 2022-03-10T11:01:48.000Z | bin/api_connector_splunk/solnlib/packages/schematics/datastructures.py | CyberGRX/api-connector-splunk | 7f1db1cecb7ae367c1882c3188dc9f8bcb6bc4c6 | [
"MIT"
] | 54 | 2016-08-11T14:22:30.000Z | 2020-08-07T22:14:55.000Z | bin/api_connector_splunk/solnlib/packages/schematics/datastructures.py | CyberGRX/api-connector-splunk | 7f1db1cecb7ae367c1882c3188dc9f8bcb6bc4c6 | [
"MIT"
] | 33 | 2018-04-23T20:18:11.000Z | 2022-03-27T16:41:03.000Z | # -*- coding: utf-8 -*-
# pylint: skip-file
from __future__ import unicode_literals, absolute_import
from collections import MutableMapping, KeysView, ValuesView, ItemsView
from copy import deepcopy
from operator import eq
from .common import *
from .util import get_ident
class OrderedDict(MutableMapping, dict):
"""
An ordered dictionary.
The implementation is based on ``collections.OrderedDict`` of the standard library.
It preserves the original technique of storing the keys as a regular list, whereas
the reference implementation now uses a linked list. The built-in list gives better
performance in use cases that are typical with Schematics.
"""
def __init__(*args, **kwargs):
if not args:
raise TypeError("OrderedDict.__init__() needs an instance as the first argument")
self = args[0]
args = args[1:]
if len(args) > 1:
raise TypeError("OrderedDict() takes at most 1 positional argument, got %d" % len(args))
dict.__init__(self)
if not self:
self._keys = []
MutableMapping.update(self, *args, **kwargs)
__contains__ = dict.__contains__
__getitem__ = dict.__getitem__
__len__ = dict.__len__
get = dict.get
def __setitem__(self, key, item, setitem=dict.__setitem__):
if key not in self:
self._keys.append(key)
setitem(self, key, item)
def __delitem__(self, key, delitem=dict.__delitem__):
delitem(self, key)
self._keys.remove(key)
def __iter__(self):
return iter(self._keys)
def __reversed__(self):
return reversed(self._keys)
def clear(self):
del self._keys[:]
dict.clear(self)
def copy(self):
return self.__class__(self)
__copy__ = copy
def move_to_end(self, key, last=True):
if key not in self:
raise KeyError(key)
self._keys.remove(key)
if last:
self._keys.append(key)
else:
self._keys.insert(0, key)
__token = object()
def pop(self, key, default=__token):
if key in self:
self._keys.remove(key)
return dict.pop(self, key)
elif default is self.__token:
raise KeyError(key)
else:
return default
def popitem(self, last=True):
if not self:
raise KeyError('dictionary is empty')
key = self._keys.pop(-1 if last else 0)
value = dict.pop(self, key)
return key, value
def setdefault(self, key, default=None):
if key in self:
return self[key]
else:
self[key] = default
return default
def sort(self, key=None, reverse=False):
if key is not None:
_key = lambda k: key((k, self[k]))
else:
_key = None
self._keys.sort(key=_key, reverse=reverse)
def reverse(self):
self._keys.reverse()
@classmethod
def fromkeys(cls, iterable, value=None):
return cls((key, value) for key in iterable)
def __eq__(self, other):
if isinstance(other, OrderedDict):
return dict.__eq__(self, other) and all(map(eq, self, other))
else:
return dict.__eq__(self, other)
def __ne__(self, other):
return not self == other
def __reduce_ex__(self, protocol=0):
attrs = vars(self).copy()
for k in vars(self.__class__()):
attrs.pop(k, None)
if protocol <= 2:
# Express tuples as lists to enable proper PyYAML serialization.
items = [[k, self[k]] for k in self]
return (self.__class__, (items,), attrs or None)
else:
# Provide items as an iterator. This variant can handle recursive dictionaries.
return (self.__class__, (), attrs or None, None, iter(self.items()))
__reduce__ = __reduce_ex__
def __repr__(self, memo=set()):
call_key = (id(self), get_ident())
if call_key in memo:
return '...'
else:
memo.add(call_key)
try:
return '%s(%s)' % (self.__class__.__name__, repr(list(self.items())) if self else '')
finally:
memo.remove(call_key)
if PY3:
def keys(self):
return _ODKeysView(self)
def values(self):
return _ODValuesView(self)
def items(self):
return _ODItemsView(self)
class _ODKeysView(KeysView):
def __reversed__(self):
for key in reversed(self._mapping):
yield key
class _ODValuesView(ValuesView):
def __reversed__(self):
for key in reversed(self._mapping):
yield self._mapping[key]
class _ODItemsView(ItemsView):
def __reversed__(self):
for key in reversed(self._mapping):
yield (key, self._mapping[key])
class DataObject(object):
"""
An object for holding data as attributes.
``DataObject`` can be instantiated like ``dict``::
>>> d = DataObject({'one': 1, 'two': 2}, three=3)
>>> d.__dict__
{'one': 1, 'two': 2, 'three': 3}
Attributes are accessible via the regular dot notation (``d.x``) as well as
the subscription syntax (``d['x']``)::
>>> d.one == d['one'] == 1
True
To convert a ``DataObject`` into a dictionary, use ``d._to_dict()``.
``DataObject`` implements the following collection-like operations:
* iteration through attributes as name-value pairs
* ``'x' in d`` for membership tests
* ``len(d)`` to get the number of attributes
Additionally, the following methods are equivalent to their ``dict` counterparts:
``_clear``, ``_get``, ``_keys``, ``_items``, ``_pop``, ``_setdefault``, ``_update``.
An advantage of ``DataObject`` over ``dict` subclasses is that every method name
in ``DataObject`` begins with an underscore, so attributes like ``"update"`` or
``"values"`` are valid.
"""
def __init__(self, *args, **kwargs):
source = args[0] if args else {}
self._update(source, **kwargs)
def __repr__(self):
return self.__class__.__name__ + '(%s)' % repr(self.__dict__)
def _copy(self):
return self.__class__(self)
__copy__ = _copy
def __eq__(self, other):
return isinstance(other, DataObject) and self.__dict__ == other.__dict__
def __iter__(self):
return iter(self.__dict__.items())
def _update(self, source=None, **kwargs):
if isinstance(source, DataObject):
source = source.__dict__
self.__dict__.update(source, **kwargs)
def _setdefaults(self, source):
if isinstance(source, dict):
source = source.items()
for name, value in source:
self._setdefault(name, value)
return self
def _to_dict(self):
d = dict(self.__dict__)
for k, v in d.items():
if isinstance(v, DataObject):
d[k] = v._to_dict()
return d
def __setitem__(self, key, value): self.__dict__[key] = value
def __getitem__(self, key): return self.__dict__[key]
def __delitem__(self, key): del self.__dict__[key]
def __len__(self): return len(self.__dict__)
def __contains__(self, key): return key in self.__dict__
def _clear(self): return self.__dict__.clear()
def _get(self, *args): return self.__dict__.get(*args)
def _items(self): return self.__dict__.items()
def _keys(self): return self.__dict__.keys()
def _pop(self, *args): return self.__dict__.pop(*args)
def _setdefault(self, *args): return self.__dict__.setdefault(*args)
class Context(DataObject):
_fields = ()
def __init__(self, *args, **kwargs):
super(Context, self).__init__(*args, **kwargs)
if self._fields:
unknowns = [name for name in self._keys() if name not in self._fields]
if unknowns:
raise ValueError('Unexpected field names: %r' % unknowns)
@classmethod
def _new(cls, *args, **kwargs):
if len(args) > len(cls._fields):
raise TypeError('Too many positional arguments')
return cls(zip(cls._fields, args), **kwargs)
@classmethod
def _make(cls, obj):
if obj is None:
return cls()
elif isinstance(obj, cls):
return obj
else:
return cls(obj)
def __setattr__(self, name, value):
if name in self:
raise TypeError("Field '{0}' already set".format(name))
super(Context, self).__setattr__(name, value)
def _branch(self, **kwargs):
if not kwargs:
return self
items = dict(((k, v) for k, v in kwargs.items() if v is not None and v != self[k]))
if items:
return self.__class__(self, **items)
else:
return self
def _setdefaults(self, source):
if not isinstance(source, dict):
source = source.__dict__
new_values = source.copy()
new_values.update(self.__dict__)
self.__dict__.update(new_values)
return self
def __bool__(self):
return True
__nonzero__ = __bool__
__all__ = module_exports(__name__)
| 28.928349 | 100 | 0.599182 | 1,134 | 9,286 | 4.553792 | 0.218695 | 0.034857 | 0.021689 | 0.014717 | 0.124129 | 0.05945 | 0.044345 | 0.044345 | 0.044345 | 0.044345 | 0 | 0.003026 | 0.288283 | 9,286 | 320 | 101 | 29.01875 | 0.778333 | 0.163149 | 0 | 0.239234 | 0 | 0 | 0.029942 | 0.002877 | 0 | 0 | 0 | 0 | 0 | 1 | 0.239234 | false | 0 | 0.028708 | 0.105263 | 0.507177 | 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 | 1 | 0 | 0 | 3 |
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