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ChaosKit / ChaosKitLibraries and tools to generate pictures with iterative function systems or Fractal Flames.
IBM / Sql Rl GenThe SQL-RL-GEN is an algorithm based on a Reinforcement Learning approach with a reward function generated by a LLM to guide the agent's training process in solving the specific text2SQL generation task.
alexander-pastukhov / EdfImportThis library provides a simple interface to import contents of the EDF files generated by Eyelink eye-tracker into Matlab. It imports events and/or samples, automatically parsing them into separate trials. In addition to that, several post-processing functions can be used to extract selected events (fixations, saccades and blinks), variable values (TRIAL_VAR events) and microsaccades.
water5555 / WaterDebugIDA Frida Hook Helper is a plugin for IDA Pro designed to simplify the debugging of .so files and the generation of Frida hook scripts. It supports expression-based jumping (e.g., [[x0] + 0x20]) during debugging and automatically generates Frida hook scripts based on IDA function prototypes, significantly improving reverse engineering efficiency.
michealbalogun / Horizon DashboardCopyright 2012 United States Government as represented by the # Administrator of the National Aeronautics and Space Administration. # All Rights Reserved. # # Copyright 2012 Nebula, Inc. # # 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 glob import logging import os import sys import warnings from django.utils.translation import pgettext_lazy from django.utils.translation import ugettext_lazy as _ from horizon.utils.escape import monkeypatch_escape from openstack_dashboard import enabled from openstack_dashboard import exceptions from openstack_dashboard.local import enabled as local_enabled from openstack_dashboard import theme_settings from openstack_dashboard.utils import config from openstack_dashboard.utils import settings as settings_utils monkeypatch_escape() _LOG = logging.getLogger(__name__) warnings.formatwarning = lambda message, category, *args, **kwargs: \ '%s: %s' % (category.__name__, message) ROOT_PATH = os.path.dirname(os.path.abspath(__file__)) if ROOT_PATH not in sys.path: sys.path.append(ROOT_PATH) DEBUG = False SITE_BRANDING = 'OpenStack Dashboard' WEBROOT = '/' LOGIN_URL = None LOGOUT_URL = None LOGIN_ERROR = None LOGIN_REDIRECT_URL = None MEDIA_ROOT = None MEDIA_URL = None STATIC_ROOT = None STATIC_URL = None SELECTABLE_THEMES = None INTEGRATION_TESTS_SUPPORT = False NG_TEMPLATE_CACHE_AGE = 2592000 ROOT_URLCONF = 'openstack_dashboard.urls' HORIZON_CONFIG = { 'user_home': 'openstack_dashboard.views.get_user_home', 'ajax_queue_limit': 10, 'auto_fade_alerts': { 'delay': 3000, 'fade_duration': 1500, 'types': ['alert-success', 'alert-info'] }, 'bug_url': None, 'help_url': "https://docs.openstack.org/", 'exceptions': {'recoverable': exceptions.RECOVERABLE, 'not_found': exceptions.NOT_FOUND, 'unauthorized': exceptions.UNAUTHORIZED}, 'modal_backdrop': 'static', 'angular_modules': [], 'js_files': [], 'js_spec_files': [], 'external_templates': [], 'plugins': [], 'integration_tests_support': INTEGRATION_TESTS_SUPPORT } # The OPENSTACK_IMAGE_BACKEND settings can be used to customize features # in the OpenStack Dashboard related to the Image service, such as the list # of supported image formats. OPENSTACK_IMAGE_BACKEND = { 'image_formats': [ ('', _('Select format')), ('aki', _('AKI - Amazon Kernel Image')), ('ami', _('AMI - Amazon Machine Image')), ('ari', _('ARI - Amazon Ramdisk Image')), ('docker', _('Docker')), ('iso', _('ISO - Optical Disk Image')), ('ova', _('OVA - Open Virtual Appliance')), ('ploop', _('PLOOP - Virtuozzo/Parallels Loopback Disk')), ('qcow2', _('QCOW2 - QEMU Emulator')), ('raw', _('Raw')), ('vdi', _('VDI - Virtual Disk Image')), ('vhd', _('VHD - Virtual Hard Disk')), ('vhdx', _('VHDX - Large Virtual Hard Disk')), ('vmdk', _('VMDK - Virtual Machine Disk')), ] } MIDDLEWARE = ( 'openstack_auth.middleware.OpenstackAuthMonkeyPatchMiddleware', 'debreach.middleware.RandomCommentMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'horizon.middleware.OperationLogMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'horizon.middleware.HorizonMiddleware', 'horizon.themes.ThemeMiddleware', 'django.middleware.locale.LocaleMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', 'openstack_dashboard.contrib.developer.profiler.middleware.' 'ProfilerClientMiddleware', 'openstack_dashboard.contrib.developer.profiler.middleware.' 'ProfilerMiddleware', ) CACHED_TEMPLATE_LOADERS = [ 'django.template.loaders.filesystem.Loader', 'django.template.loaders.app_directories.Loader', 'horizon.loaders.TemplateLoader' ] ADD_TEMPLATE_LOADERS = [] ADD_TEMPLATE_DIRS = [] TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [os.path.join(ROOT_PATH, 'templates')], 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.i18n', 'django.template.context_processors.request', 'django.template.context_processors.media', 'django.template.context_processors.static', 'django.contrib.messages.context_processors.messages', 'horizon.context_processors.horizon', 'openstack_dashboard.context_processors.openstack', ], 'loaders': [ 'horizon.themes.ThemeTemplateLoader' ], }, }, ] STATICFILES_FINDERS = ( 'django.contrib.staticfiles.finders.FileSystemFinder', 'horizon.contrib.staticfiles.finders.HorizonStaticFinder', 'compressor.finders.CompressorFinder', ) COMPRESS_PRECOMPILERS = ( ('text/scss', 'horizon.utils.scss_filter.HorizonScssFilter'), ) COMPRESS_CSS_FILTERS = ( 'compressor.filters.css_default.CssAbsoluteFilter', ) COMPRESS_ENABLED = True COMPRESS_OUTPUT_DIR = 'dashboard' COMPRESS_CSS_HASHING_METHOD = 'hash' COMPRESS_PARSER = 'compressor.parser.HtmlParser' INSTALLED_APPS = [ 'openstack_dashboard', 'django.contrib.contenttypes', 'django.contrib.auth', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'django.contrib.humanize', 'django_pyscss', 'debreach', 'openstack_dashboard.django_pyscss_fix', 'compressor', 'horizon', 'openstack_auth', ] AUTHENTICATION_BACKENDS = ('openstack_auth.backend.KeystoneBackend',) AUTHENTICATION_URLS = ['openstack_auth.urls'] AUTH_USER_MODEL = 'openstack_auth.User' MESSAGE_STORAGE = 'django.contrib.messages.storage.fallback.FallbackStorage' SESSION_ENGINE = 'django.contrib.sessions.backends.cache' CACHES = { 'default': { 'BACKEND': 'django.core.cache.backends.memcached.MemcachedCache', 'LOCATION': '127.0.0.1:11211', }, } SESSION_COOKIE_HTTPONLY = True SESSION_EXPIRE_AT_BROWSER_CLOSE = True SESSION_COOKIE_SECURE = False # Control whether the SESSION_TIMEOUT period is refreshed due to activity. If # False, SESSION_TIMEOUT acts as a hard limit. SESSION_REFRESH = True # This SESSION_TIMEOUT is a method to supercede the token timeout with a # shorter horizon session timeout (in seconds). If SESSION_REFRESH is True (the # default) SESSION_TIMEOUT acts like an idle timeout rather than being a hard # limit, but will never exceed the token expiry. If your token expires in 60 # minutes, a value of 1800 will log users out after 30 minutes of inactivity, # or 60 minutes with activity. Setting SESSION_REFRESH to False will make # SESSION_TIMEOUT act like a hard limit on session times. SESSION_TIMEOUT = 3600 # When using cookie-based sessions, log error when the session cookie exceeds # the following size (common browsers drop cookies above a certain size): SESSION_COOKIE_MAX_SIZE = 4093 # when doing upgrades, it may be wise to stick to PickleSerializer # NOTE(berendt): Check during the K-cycle if this variable can be removed. # https://bugs.launchpad.net/horizon/+bug/1349463 SESSION_SERIALIZER = 'django.contrib.sessions.serializers.PickleSerializer' # MEMOIZED_MAX_SIZE_DEFAULT allows setting a global default to help control # memory usage when caching. It should at least be 2 x the number of threads # with a little bit of extra buffer. MEMOIZED_MAX_SIZE_DEFAULT = 25 CSRF_FAILURE_VIEW = 'openstack_dashboard.views.csrf_failure' LANGUAGES = ( ('cs', 'Czech'), ('de', 'German'), ('en', 'English'), ('en-au', 'Australian English'), ('en-gb', 'British English'), ('eo', 'Esperanto'), ('es', 'Spanish'), ('fr', 'French'), ('id', 'Indonesian'), ('it', 'Italian'), ('ja', 'Japanese'), ('ko', 'Korean (Korea)'), ('pl', 'Polish'), ('pt-br', 'Portuguese (Brazil)'), ('ru', 'Russian'), ('tr', 'Turkish'), ('zh-cn', 'Simplified Chinese'), ('zh-tw', 'Chinese (Taiwan)'), ) LANGUAGE_CODE = 'en' LANGUAGE_COOKIE_NAME = 'horizon_language' USE_I18N = True USE_L10N = True USE_TZ = True # Set OPENSTACK_CLOUDS_YAML_NAME to provide a nicer name for this cloud for # the clouds.yaml file than "openstack". OPENSTACK_CLOUDS_YAML_NAME = 'openstack' # If this cloud has a vendor profile in os-client-config, put it's name here. OPENSTACK_CLOUDS_YAML_PROFILE = '' OPENSTACK_KEYSTONE_DEFAULT_ROLE = '_member_' DEFAULT_EXCEPTION_REPORTER_FILTER = 'horizon.exceptions.HorizonReporterFilter' POLICY_FILES_PATH = os.path.join(ROOT_PATH, "conf") # Map of local copy of service policy files POLICY_FILES = { 'identity': 'keystone_policy.json', 'compute': 'nova_policy.json', 'volume': 'cinder_policy.json', 'image': 'glance_policy.json', 'network': 'neutron_policy.json', } # Services for which horizon has extra policies are defined # in POLICY_DIRS by default. POLICY_DIRS = { 'compute': ['nova_policy.d'], 'volume': ['cinder_policy.d'], } SECRET_KEY = None LOCAL_PATH = None SECURITY_GROUP_RULES = { 'all_tcp': { 'name': _('All TCP'), 'ip_protocol': 'tcp', 'from_port': '1', 'to_port': '65535', }, 'all_udp': { 'name': _('All UDP'), 'ip_protocol': 'udp', 'from_port': '1', 'to_port': '65535', }, 'all_icmp': { 'name': _('All ICMP'), 'ip_protocol': 'icmp', 'from_port': '-1', 'to_port': '-1', }, } ADD_INSTALLED_APPS = [] # NOTE: The default value of USER_MENU_LINKS will be set after loading # local_settings if it is not configured. USER_MENU_LINKS = None # 'key', 'label', 'path' AVAILABLE_THEMES = [ ( 'default', pgettext_lazy('Default style theme', 'Default'), 'themes/default' ), ( 'material', pgettext_lazy("Google's Material Design style theme", "Material"), 'themes/material' ), ] # The default theme if no cookie is present DEFAULT_THEME = 'default' # Theme Static Directory THEME_COLLECTION_DIR = 'themes' # Theme Cookie Name THEME_COOKIE_NAME = 'theme' POLICY_CHECK_FUNCTION = 'openstack_auth.policy.check' CSRF_COOKIE_AGE = None COMPRESS_OFFLINE_CONTEXT = 'horizon.themes.offline_context' SHOW_KEYSTONE_V2_RC = False SHOW_OPENRC_FILE = True SHOW_OPENSTACK_CLOUDS_YAML = True # Dictionary of currently available angular features ANGULAR_FEATURES = { 'images_panel': True, 'key_pairs_panel': True, 'flavors_panel': False, 'domains_panel': False, 'users_panel': False, 'groups_panel': False, 'roles_panel': True } # Notice all customizable configurations should be above this line XSTATIC_MODULES = settings_utils.BASE_XSTATIC_MODULES OPENSTACK_PROFILER = { 'enabled': False } if not LOCAL_PATH: LOCAL_PATH = os.path.join(ROOT_PATH, 'local') LOCAL_SETTINGS_DIR_PATH = os.path.join(LOCAL_PATH, "local_settings.d") _files = glob.glob(os.path.join(LOCAL_PATH, 'local_settings.conf')) _files.extend( sorted(glob.glob(os.path.join(LOCAL_SETTINGS_DIR_PATH, '*.conf')))) _config = config.load_config(_files, ROOT_PATH, LOCAL_PATH) # Apply the general configuration. config.apply_config(_config, globals()) try: from local.local_settings import * # noqa: F403,H303 except ImportError: _LOG.warning("No local_settings file found.") # configure templates if not TEMPLATES[0]['DIRS']: TEMPLATES[0]['DIRS'] = [os.path.join(ROOT_PATH, 'templates')] TEMPLATES[0]['DIRS'] += ADD_TEMPLATE_DIRS # configure template debugging TEMPLATES[0]['OPTIONS']['debug'] = DEBUG # Template loaders if DEBUG: TEMPLATES[0]['OPTIONS']['loaders'].extend( CACHED_TEMPLATE_LOADERS + ADD_TEMPLATE_LOADERS ) else: TEMPLATES[0]['OPTIONS']['loaders'].extend( [('django.template.loaders.cached.Loader', CACHED_TEMPLATE_LOADERS)] + ADD_TEMPLATE_LOADERS ) # allow to drop settings snippets into a local_settings_dir LOCAL_SETTINGS_DIR_PATH = os.path.join(ROOT_PATH, "local", "local_settings.d") if os.path.exists(LOCAL_SETTINGS_DIR_PATH): for (dirpath, dirnames, filenames) in os.walk(LOCAL_SETTINGS_DIR_PATH): for filename in sorted(filenames): if filename.endswith(".py"): try: with open(os.path.join(dirpath, filename)) as f: # pylint: disable=exec-used exec(f.read()) except Exception as e: _LOG.exception( "Can not exec settings snippet %s", filename) # The purpose of OPENSTACK_IMAGE_FORMATS is to provide a simple object # that does not contain the lazy-loaded translations, so the list can # be sent as JSON to the client-side (Angular). OPENSTACK_IMAGE_FORMATS = [fmt for (fmt, name) in OPENSTACK_IMAGE_BACKEND['image_formats']] if USER_MENU_LINKS is None: USER_MENU_LINKS = [] if SHOW_KEYSTONE_V2_RC: USER_MENU_LINKS.append({ 'name': _('OpenStack RC File v2'), 'icon_classes': ['fa-download', ], 'url': 'horizon:project:api_access:openrcv2', }) if SHOW_OPENRC_FILE: USER_MENU_LINKS.append({ 'name': (_('OpenStack RC File v3') if SHOW_KEYSTONE_V2_RC else _('OpenStack RC File')), 'icon_classes': ['fa-download', ], 'url': 'horizon:project:api_access:openrc', }) if not WEBROOT.endswith('/'): WEBROOT += '/' if LOGIN_URL is None: LOGIN_URL = WEBROOT + 'auth/login/' if LOGOUT_URL is None: LOGOUT_URL = WEBROOT + 'auth/logout/' if LOGIN_ERROR is None: LOGIN_ERROR = WEBROOT + 'auth/error/' if LOGIN_REDIRECT_URL is None: LOGIN_REDIRECT_URL = WEBROOT if MEDIA_ROOT is None: MEDIA_ROOT = os.path.abspath(os.path.join(ROOT_PATH, '..', 'media')) if MEDIA_URL is None: MEDIA_URL = WEBROOT + 'media/' if STATIC_ROOT is None: STATIC_ROOT = os.path.abspath(os.path.join(ROOT_PATH, '..', 'static')) if STATIC_URL is None: STATIC_URL = WEBROOT + 'static/' AVAILABLE_THEMES, SELECTABLE_THEMES, DEFAULT_THEME = ( theme_settings.get_available_themes( AVAILABLE_THEMES, DEFAULT_THEME, SELECTABLE_THEMES ) ) # Discover all the directories that contain static files STATICFILES_DIRS = theme_settings.get_theme_static_dirs( AVAILABLE_THEMES, THEME_COLLECTION_DIR, ROOT_PATH) # Ensure that we always have a SECRET_KEY set, even when no local_settings.py # file is present. See local_settings.py.example for full documentation on the # horizon.utils.secret_key module and its use. if not SECRET_KEY: if not LOCAL_PATH: LOCAL_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'local') # pylint: disable=ungrouped-imports from horizon.utils import secret_key SECRET_KEY = secret_key.generate_or_read_from_file(os.path.join(LOCAL_PATH, '.secret_key_store')) # populate HORIZON_CONFIG with auto-discovered JavaScript sources, mock files, # specs files and external templates. settings_utils.find_static_files(HORIZON_CONFIG, AVAILABLE_THEMES, THEME_COLLECTION_DIR, ROOT_PATH) INSTALLED_APPS = list(INSTALLED_APPS) # Make sure it's mutable settings_utils.update_dashboards( [ enabled, local_enabled, ], HORIZON_CONFIG, INSTALLED_APPS, ) INSTALLED_APPS[0:0] = ADD_INSTALLED_APPS NG_TEMPLATE_CACHE_AGE = NG_TEMPLATE_CACHE_AGE if not DEBUG else 0 # Include xstatic_modules specified in plugin XSTATIC_MODULES += HORIZON_CONFIG['xstatic_modules'] # Discover all the xstatic module entry points to embed in our HTML STATICFILES_DIRS += settings_utils.get_xstatic_dirs( XSTATIC_MODULES, HORIZON_CONFIG) # This base context objects gets added to the offline context generator # for each theme configured. HORIZON_COMPRESS_OFFLINE_CONTEXT_BASE = { 'WEBROOT': WEBROOT, 'STATIC_URL': STATIC_URL, 'HORIZON_CONFIG': HORIZON_CONFIG, 'NG_TEMPLATE_CACHE_AGE': NG_TEMPLATE_CACHE_AGE, } if DEBUG: logging.basicConfig(level=logging.DEBUG) # Here comes the Django settings deprecation section. Being at the very end # of settings.py allows it to catch the settings defined in local_settings.py # or inside one of local_settings.d/ snippets.
YounesBensafia / DevLensLost in a new codebase? This CLI tool quickly scans your repository to show language breakdown, lines of code, and structure. It detects the tech stack, maps dependencies in a clear graph, uses AI to summarize files, functions, and classes, highlights dead code, and auto-generates a professional README.
herumi / SimdgenA library to generate a SIMD code for AVX-512/SVE from a given function string.
sunify / Bem ClassnameSimple function for generating bem-like classNames
AzureCosmosDB / Cosmos Embeddings GeneratorThis sample shows how to use a Cosmos DB Trigger in Azure Functions Triggers (C# or Python) to automatically generate embeddings on data on new or updated data.
Timbermir / Clean WizardKotlin Symbol Processor that auto-generates DTO, Domain and UI models along with mapper functions for your Clean Architecture application
DiatomStudio / CodeThreadCodeThread is libary for processing that lets you create g-code as you calculate coordinates for a toolpath. One of the things we love about makerbot in contrast to commercial printers is that you have complete control over every aspect of the print technique. We think there is a lot of opportunity to develop new printing styles with makerbots, beyond traditional solid prints. We wanted to experiment with the materiality of makerbot prints by working directly in gcode with processing, so we made this small library that provides some simple functions for generating gcode commands, and prints a gcode file.
yqmark / AgreementPrivacy Policy introduction We understand the importance of personal information to you and will do our utmost to protect your personal information. We are committed to maintaining your trust in us and to abide by the following principles to protect your personal information: the principle of consistency of rights and responsibilities, the principle of purpose , choose the principle of consent, at least the principle of sufficient use, ensure the principle of security, the principle of subject participation, the principle of openness and transparency, and so on. At the same time, we promise that we will take appropriate security measures to protect your personal information according to the industry's mature security solutions. In view of this, we have formulated this "Private Privacy Policy" (hereinafter referred to as "this policy" /This Privacy Policy") and remind you: This policy applies to products or services on this platform. 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Personal information may be shared with our affiliates. We will only share the necessary personal information (for example, to facilitate the use of our affiliated company products or services, we will share your necessary account information with affiliates) if we share your personal sensitive information or affiliate changes The use of personal information and the purpose of processing will be re-examined for your authorization. 4. Sharing with Authorized Partners: For the purposes stated in this Privacy Policy, some of our services will be provided by us and our authorized partners. We may share some of your personal information with our partners to provide better customer service and user experience. For example, arrange a partner to provide services. We will only share your personal information for legitimate, legitimate, necessary, specific, and specific purposes, and will only share the personal information necessary to provide the service. Our partners are not authorized to use shared personal information for other purposes unrelated to the product or service. Currently, our authorized partners include the following types: (2) Suppliers, service providers and other partners. We send information to suppliers, service providers and other partners who support our business, including providing technical infrastructure services, analyzing how our services are used, measuring the effectiveness of advertising and services, providing customer service, and facilitating payments. Or conduct academic research and investigations. (1) Authorized partners in advertising and analytics services. We will not use your personally identifiable information (information that identifies you, such as your name or email address, which can be used to contact you or identify you) and provide advertising and analytics services, unless you have your permission. Shared by partners. We will provide these partners with information about their advertising coverage and effectiveness, without providing your personally identifiable information, or we may aggregate this information so that it does not identify you personally. For example, we’ll only tell advertisers how effective their ads are when they agree to comply with our advertising guidelines, or how many people see their ads or install apps after seeing ads, or work with them. Partners provide statistical information that does not identify individuals (eg “male, 25-29 years old, in Beijing”) to help them understand their audience or customers. For companies, organizations and individuals with whom we share personal information, we will enter into strict data protection agreements with them to process individuals in accordance with our instructions, this Privacy Policy and any other relevant confidentiality and security measures. information. (2) Transfer We do not transfer your personal information to any company, organization or individual, except: Transfer with the express consent: After obtaining your explicit consent, we will transfer your personal information to other parties; 2, in the case of mergers, acquisitions or bankruptcy liquidation, or other circumstances involving mergers, acquisitions or bankruptcy liquidation, if it involves the transfer of personal information, we will require new companies and organizations that hold your personal information to continue to receive This policy is bound, otherwise we will ask the company, organization and individual to re-seek your consent. (3) Public disclosure We will only publicly disclose your personal information in the following circumstances: We may publicly disclose your personal information by obtaining your explicit consent or based on your active choice; 2, if we determine that you have violated laws and regulations or serious violations of the relevant rules of the platform, or to protect the personal safety of the platform and its affiliates users or the public from infringement, we may be based on laws and regulations or The relevant agreement rules of this platform disclose your personal information, including related violations, and the measures that the platform has taken against you, with your consent. (4) Exceptions for prior authorization of consent when sharing, transferring, and publicly disclosing personal information In the following situations, sharing, transferring, and publicly disclosing your personal information does not require prior authorization from you: Related to national security and national defense security; Related to public safety, public health, and major public interests; 3, related to criminal investigation, prosecution, trial and judgment execution; 4, in order to protect your or other individuals' life, property and other important legal rights but it is difficult to get my consent; Personal information that you disclose to the public on your own; Collect personal information from legally publicly disclosed information, such as legal news reports and government information disclosure. According to the law, sharing, transferring and de-identifying personal information, and ensuring that the data recipient cannot recover and re-identify the personal information subject, does not belong to the external sharing, transfer and public disclosure of personal information. The preservation and processing of the class data will not require additional notice and your consent. How do we protect your personal information? (1) We have taken reasonable and feasible security measures in accordance with the industry's general solutions to protect the security of personal information provided by you, and to prevent unauthorized access, public disclosure, use, modification, damage or loss of personal information. For example, SSL (Secure Socket) when exchanging data (such as credit card information) between your browser and the server Layer) protocol encryption protection; we use encryption technology to improve the security of personal information; we use a trusted protection mechanism to prevent personal information from being maliciously attacked; we will deploy access control mechanisms to ensure that only authorized personnel can access individuals Information; and we will conduct security and privacy protection training courses to enhance employees' awareness of the importance of protecting personal information. (2) We have advanced data security management system around the data life cycle, which enhances the security of the whole system from organizational construction, system design, personnel management, product technology and other aspects. (3) We will take reasonable and feasible measures and try our best to avoid collecting irrelevant personal information. We will only retain your personal information for the period of time required to achieve the purposes stated in this policy, unless the retention period is extended or permitted by law. (4) The Internet is not an absolutely secure environment. We strongly recommend that you do not use personal communication methods that are not recommended by this platform. You can connect and share with each other through our services. When you create communications, transactions, or sharing through our services, you can choose who you want to communicate, trade, or share as a third party who can see your trading content, contact information, exchange information, or share content. If you find that your personal information, especially your account or password, has been leaked, please contact our customer service immediately so that we can take appropriate measures according to your application. Please note that the information you voluntarily share or even share publicly when using our services may involve personal information of you or others or even sensitive personal information, such as when you post a news or choose to upload in public in group chats, circles, etc. A picture containing personal information. Please consider more carefully whether you share or even share information publicly when using our services. Please use complex passwords to help us keep your account secure. We will do our best to protect the security of any information you send us. At the same time, we will report the handling of personal information security incidents in accordance with the requirements of the regulatory authorities. V. How your personal information is transferred globally Personal information collected and generated by us during our operations in the People's Republic of China is stored in China, with the following exceptions: Laws and regulations have clear provisions; 2, get your explicit authorization; 3, you through the Internet for cross-border live broadcast / release dynamics and other personal initiatives. In response to the above, we will ensure that your personal information is adequately protected in accordance with this Privacy Policy.
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bottlenoselabs / C2ffiGenerate the FFI (foreign function interface) from a C header.
DDZH-DEV / Mysql Struct Sync可用于帮助开发人员比较两个数据库之间的差异(表,列,约束,事件,函数,存储过程,触发器,视图),并生成更新语句。 Can be used to synchronize database structures, compare differences(table,column,constraints,events,functions,procedures,triggers,views) between databases and generating queries.
Sission / Coupled VAE Improved Robustness And Accuracy Of A Variational AutoencoderWe present a coupled Variational Auto-Encoder (VAE) method that improves the accuracy and robustness of the probabilistic inferences on represented data. The new method models the dependency between input feature vectors (images) and weighs the outliers with a higher penalty by generalizing the original loss function to the coupled entropy function, using the principles of nonlinear statistical coupling. We evaluate the performance of the coupled VAE model using the MNIST dataset. Compared with the traditional VAE algorithm, the output images generated by the coupled VAE method are clearer and less blurry. The visualization of the input images embedded in 2D latent variable space provides a deeper insight into the structure of new model with coupled loss function: the latent variable has a smaller deviation and the output values are generated by a more compact latent space. We analyze the histograms of probabilities for the input images using the generalized mean metrics, in which increased geometric mean illustrates that the average likelihood of input data is improved. Increases in the -2/3 mean, which is sensitive to outliers, indicates improved robustness. The decisiveness, measured by the arithmetic mean of the likelihoods, is unchanged and -2/3 mean shows that the new model has better robustness.
