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.gitignore

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/

README.md

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# picket-python
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The official Python library for the Picket API
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picket.py

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import os
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from dataclasses import dataclass
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from typing import Dict
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import requests
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from requests.auth import HTTPBasicAuth
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from requests.exceptions import JSONDecodeError
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API_VERSION = "v1"
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API_BASE_URL = os.path.join("https://picketapi.com/api/", API_VERSION)
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def is_successful_status_code(status_code):
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return status_code >= 200 and status_code < 300
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class PicketAPIException(Exception):
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def __init__(self, msg: str, code: str):
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super().__init__(msg)
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self.msg = msg
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self.code = code
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def __str__(self):
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return self.msg
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@dataclass
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class NonceResponse:
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nonce: str
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statement: str
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format: str
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@classmethod
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def from_dict(cls, d):
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return cls(d["nonce"], d["statement"], d["format"])
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TokenBalances = Dict[str, Dict[str, str]]
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@dataclass
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class AuthorizedUser:
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chain: str
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wallet_address: str
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display_name: str
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token_balances: TokenBalances
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@classmethod
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def from_dict(cls, d):
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return cls(
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d["chain"], d["wallet_address"], d["display_name"], d["token_balances"]
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)
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@dataclass
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class AuthResponse:
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access_token: str
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user: AuthorizedUser
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@classmethod
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def from_dict(cls, d):
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user = AuthorizedUser.from_dict(d["user"])
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return cls(d["accessToken"], user)
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@dataclass
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class TokenOwnershipResponse:
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allowed: bool
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walletAddress: str
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token_balances: TokenBalances
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@classmethod
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def from_dict(cls, d):
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return cls(d["allowed"], d["walletAddress"], d["token_balances"])
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class Picket:
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def __init__(self, api_key: str, **kwargs):
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self.api_key = api_key
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# Base URL for API
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# Configurable for testing
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self.base_url = kwargs.get("base_url", API_BASE_URL)
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def headers(self):
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return {
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"User-Agent": "Picket Python Client",
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"Content-Type": "application/json",
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}
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def post_request(self, path: str, **kwargs):
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url = os.path.join(self.base_url, path)
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auth = HTTPBasicAuth(self.api_key, "")
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headers = self.headers()
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req = requests.post(url, auth=auth, headers=headers, data=kwargs)
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try:
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data = req.json()
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except JSONDecodeError:
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raise Exception(req.text)
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if not is_successful_status_code(req.status_code):
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raise PicketAPIException(data["msg"], data["code"])
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return data
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# nonce
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def nonce(
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self, chain: str, wallet_address: str, locale: str = "en-US"
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) -> NonceResponse:
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data = self.post_request(
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"auth/nonce", chain=chain, wallet_address=wallet_address, locale=locale
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)
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return NonceResponse.from_dict(data)
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def auth(
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self,
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chain: str,
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wallet_address: str,
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signature: str,
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requirements: dict = {},
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context: dict = {},
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) -> AuthResponse:
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data = self.post_request(
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"auth",
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chain=chain,
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wallet_address=wallet_address,
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signature=signature,
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requirements=requirements,
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context=context,
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)
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return AuthResponse.from_dict(data)
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def authz(
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self, access_token: str, requirements: dict, revalidate: bool = False
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) -> AuthResponse:
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data = self.post_request(
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"authz",
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access_token=access_token,
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requirements=requirements,
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revalidate=revalidate,
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)
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return AuthResponse.from_dict(data)
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def validate(self, access_token: str, requirements: dict = {}) -> AuthorizedUser:
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data = self.post_request(
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"auth/validate", access_token=access_token, requirements=requirements
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)
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return AuthorizedUser.from_dict(data)
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def token_ownesrhip(
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self, chain: str, wallet_address: str, **kwargs
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) -> TokenOwnershipResponse:
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path = os.path.join(
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"chains", chain, "wallets", wallet_address, "tokenOwnership"
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)
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data = self.post_request(path, **kwargs)
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return TokenOwnershipResponse.from_dict(data)

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