chore(Linter): reformatted code with black (#211)

* chore(Linter): reformatted code with black

* Create black.yaml
This commit is contained in:
Mark Aron Szulyovszky
2022-02-17 19:22:17 +01:00
committed by GitHub
parent f3fee4a4e1
commit 8dd2d88740
101 changed files with 2596 additions and 2320 deletions
+16 -15
View File
@@ -3,20 +3,21 @@ from .utils import *
class Protocols:
"""
Protocols class.
Protocols class.
Methods
-------
__init__(glassnode_client):
Constructs a Protocols object.
uniswap_transactions():
Returns the total number of transactions
that contains an interaction within Uniswap contracts.
uniswap_liquidity():
Returns the current liquidity on Uniswap.
uniswap_volume():
Returns the total volume traded on Uniswap.
Methods
-------
__init__(glassnode_client):
Constructs a Protocols object.
uniswap_transactions():
Returns the total number of transactions
that contains an interaction within Uniswap contracts.
uniswap_liquidity():
Returns the current liquidity on Uniswap.
uniswap_volume():
Returns the total volume traded on Uniswap.
"""
def __init__(self, glassnode_client):
self._gc = glassnode_client
self._endpoints = self._gc.endpoints
@@ -30,7 +31,7 @@ class Protocols:
:return: A DataFrame containing Uniswap transactions data.
:rtype: DataFrame
"""
endpoint = '/v1/metrics/protocols/uniswap_transaction_count'
endpoint = "/v1/metrics/protocols/uniswap_transaction_count"
if not is_supported_by_endpoint(self._gc, endpoint):
return pd.DataFrame()
@@ -44,7 +45,7 @@ class Protocols:
:return: A DataFrame containing Uniswap liquidity data.
:rtype: DataFrame
"""
endpoint = '/v1/metrics/protocols/uniswap_liquidity_latest'
endpoint = "/v1/metrics/protocols/uniswap_liquidity_latest"
if not is_supported_by_endpoint(self._gc, endpoint):
return pd.DataFrame()
@@ -58,7 +59,7 @@ class Protocols:
:return: A DataFrame containing Uniswap volume data.
:rtype: DataFrame
"""
endpoint = '/v1/metrics/protocols/uniswap_volume_sum'
endpoint = "/v1/metrics/protocols/uniswap_volume_sum"
if not is_supported_by_endpoint(self._gc, endpoint):
return pd.DataFrame()