id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
168,072 | import os
import boto3
from flask import Flask, jsonify, make_response, request
dynamodb_client = boto3.client('dynamodb')
USERS_TABLE = os.environ['USERS_TABLE']
def get_user(user_id):
result = dynamodb_client.get_item(
TableName=USERS_TABLE, Key={'userId': {'S': user_id}}
)
item = result.get('Ite... | null |
168,073 | import os
import boto3
from flask import Flask, jsonify, make_response, request
dynamodb_client = boto3.client('dynamodb')
USERS_TABLE = os.environ['USERS_TABLE']
def create_user():
user_id = request.json.get('userId')
name = request.json.get('name')
if not user_id or not name:
return jsonify({'err... | null |
168,074 | import os
import boto3
from flask import Flask, jsonify, make_response, request
def resource_not_found(e):
return make_response(jsonify(error='Not found!'), 404) | null |
168,075 | import os
import boto3
dynamodb = boto3.resource('dynamodb')
def delete(event, context):
table = dynamodb.Table(os.environ['DYNAMODB_TABLE'])
# delete the todo from the database
table.delete_item(
Key={
'id': event['pathParameters']['id']
}
)
# create a response
re... | null |
168,076 | import json
import time
import logging
import os
from todos import decimalencoder
import boto3
dynamodb = boto3.resource('dynamodb')
def update(event, context):
data = json.loads(event['body'])
if 'text' not in data or 'checked' not in data:
logging.error("Validation Failed")
raise Exception("C... | null |
168,077 | import os
import json
from todos import decimalencoder
import boto3
dynamodb = boto3.resource('dynamodb')
def get(event, context):
table = dynamodb.Table(os.environ['DYNAMODB_TABLE'])
# fetch todo from the database
result = table.get_item(
Key={
'id': event['pathParameters']['id']
... | null |
168,078 | import json
import logging
import os
import time
import uuid
import boto3
dynamodb = boto3.resource('dynamodb')
def create(event, context):
data = json.loads(event['body'])
if 'text' not in data:
logging.error("Validation Failed")
raise Exception("Couldn't create the todo item.")
times... | null |
168,079 | import json
import os
from todos import decimalencoder
import boto3
dynamodb = boto3.resource('dynamodb')
def list(event, context):
table = dynamodb.Table(os.environ['DYNAMODB_TABLE'])
# fetch all todos from the database
result = table.scan()
# create a response
response = {
"statusCode":... | null |
168,080 | import json
import telegram
import os
import logging
logger = logging.getLogger()
if logger.handlers:
for handler in logger.handlers:
logger.removeHandler(handler)
OK_RESPONSE = {
'statusCode': 200,
'headers': {'Content-Type': 'application/json'},
'body': json.dumps('ok')
}
ERROR_RESPONSE = {
... | Sets the Telegram bot webhook. |
168,081 | import json
import sys
from solidgpt.definitions import *
def load_from_json(filename="data.json"):
# Load data from a JSON file
with open(filename, "r") as json_file:
loaded_data = json.load(json_file)
return loaded_data | null |
168,082 | import json
import sys
from solidgpt.definitions import *
def create_directories_if_not_exist(filepath: str):
dir_name = os.path.dirname(filepath)
if not os.path.exists(dir_name):
os.makedirs(dir_name)
return
def save_to_md(filename, content: str, path = "") -> str:
create_directories_if_not_ex... | null |
168,083 | import json
import sys
from solidgpt.definitions import *
def create_directories_if_not_exist(filepath: str):
dir_name = os.path.dirname(filepath)
if not os.path.exists(dir_name):
os.makedirs(dir_name)
return
def add_extension_if_not_exist(input_string, extension):
if not input_string.endswith(e... | null |
168,084 | import json
import sys
from solidgpt.definitions import *
def create_directories_if_not_exist(filepath: str):
dir_name = os.path.dirname(filepath)
if not os.path.exists(dir_name):
os.makedirs(dir_name)
return
def add_extension_if_not_exist(input_string, extension):
if not input_string.endswith(e... | null |
168,085 | import json
import sys
from solidgpt.definitions import *
def create_directories_if_not_exist(filepath: str):
dir_name = os.path.dirname(filepath)
if not os.path.exists(dir_name):
os.makedirs(dir_name)
return
def add_extension_if_not_exist(input_string, extension):
if not input_string.endswith(e... | null |
168,086 | import json
import sys
from solidgpt.definitions import *
def add_extension_if_not_exist(input_string, extension):
def load_from_text(filename, path = "", extension = ".md") -> str:
full_path = os.path.join(path, filename)
full_path = add_extension_if_not_exist(full_path, extension)
with open(full_path, "r... | null |
168,087 | import json
import sys
from solidgpt.definitions import *
def same_string(s1: str, s2: str, case_sensitive: bool = False):
if case_sensitive:
return s1 == s2
return s1.lower() == s2.lower() | null |
168,088 | import json
import sys
from solidgpt.definitions import *
def print_error_message(message):
print(f"Error: {message}", file=sys.stderr) | null |
168,089 | import json
import sys
from solidgpt.definitions import *
def delete_directory_contents(directory):
for root, dirs, files in os.walk(directory, topdown=False):
for file in files:
file_path = os.path.join(root, file)
try:
os.remove(file_path)
print(f"D... | null |
168,090 | import os
import re
import sys
import argparse
import webbrowser
from threading import Timer
from websvc.app import app
http_host = "0.0.0.0"
http_port = 5000
def open_browser() -> None:
webbrowser.open_new(f"http://{http_host}:{http_port}/") | null |
168,091 | import dash_bootstrap_components as dbc
from dash import dcc, html, Input, Output, State, MATCH, callback
from models.telegram import Wrapper
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.clean_data_folder()
The provided code snippet includes necessary dependencies for implementing the `update_button... | show/hide control buttons |
168,092 | import dash_bootstrap_components as dbc
from dash import dcc, html, Input, Output, State, MATCH, callback
from models.telegram import Wrapper
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.clean_data_folder()
The provided code snippet includes necessary dependencies for implementing the `btn_schedule_... | Add scanner/screen schedule |
168,093 | import dash_bootstrap_components as dbc
from dash import dcc, html, Input, Output, State, MATCH, callback
from models.telegram import Wrapper
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.clean_data_folder()
The provided code snippet includes necessary dependencies for implementing the `btn_buy_click... | Place a buy order |
168,094 | import dash_bootstrap_components as dbc
from dash import dcc, html, Input, Output, State, MATCH, callback
from models.telegram import Wrapper
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.clean_data_folder()
The provided code snippet includes necessary dependencies for implementing the `btn_sell_clic... | Place a sell order |
168,095 | import dash_bootstrap_components as dbc
from dash import dcc, html, Input, Output, State, MATCH, callback
from models.telegram import Wrapper
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.clean_data_folder()
The provided code snippet includes necessary dependencies for implementing the `btn_open_orde... | restart pairs with open orders |
168,096 | import dash_bootstrap_components as dbc
from dash import dcc, html, Input, Output, State, MATCH, callback
from models.telegram import Wrapper
scan_layoutv2 = html.Div(
[
dbc.Row(
dbc.Col(
html.Div(
html.H5("Options", style={"textAlign": "center"}),
... | show scan options |
168,097 | import dash_bootstrap_components as dbc
from dash import dcc, html, Input, Output, State, MATCH, callback
from models.telegram import Wrapper
The provided code snippet includes necessary dependencies for implementing the `toggle_options_collapse` function. Write a Python function `def toggle_options_collapse(n, is_ope... | toggle scan option collapsible |
168,098 | import dash_bootstrap_components as dbc
from dash import dcc, html, Input, Output, State, MATCH, callback
from models.telegram import Wrapper
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.clean_data_folder()
def start_scan_and_bots(clicks): # pylint: disable=missing-function-docstring
if clicks ... | null |
168,099 | import dash_bootstrap_components as dbc
from dash import dcc, html, Input, Output, State, MATCH, callback
from models.telegram import Wrapper
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.clean_data_folder()
def start_scan_only(clicks): # pylint: disable=missing-function-docstring
if clicks > 0:... | null |
168,100 | import dash_bootstrap_components as dbc
from dash import dcc, html, Input, Output, State, MATCH, callback
from models.telegram import Wrapper
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.clean_data_folder()
def start_bots_only(clicks): # pylint: disable=missing-function-docstring
if clicks > 0:... | null |
168,101 | import dash_bootstrap_components as dbc
from dash import dcc, html, Input, Output, State, MATCH, callback
from models.telegram import Wrapper
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.clean_data_folder()
def btn_pause_click(click, market): # pylint: disable=missing-function-docstring
if clic... | null |
168,102 | import dash_bootstrap_components as dbc
from dash import dcc, html, Input, Output, State, MATCH, callback
from models.telegram import Wrapper
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.clean_data_folder()
def btn_resume_click(click, market): # pylint: disable=missing-function-docstring
if cli... | null |
168,103 | import dash_bootstrap_components as dbc
from dash import dcc, html, Input, Output, State, MATCH, callback
from models.telegram import Wrapper
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.clean_data_folder()
def btn_stop_click(click, market): # pylint: disable=missing-function-docstring
if click... | null |
168,104 | import dash_bootstrap_components as dbc
from dash import dcc, html, Input, Output, State, MATCH, callback
from models.telegram import Wrapper
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.clean_data_folder()
The provided code snippet includes necessary dependencies for implementing the `btn_start_cli... | start bot manually |
168,105 | import dash_bootstrap_components as dbc
from dash import dcc, html, Input, Output, State, MATCH, callback
from models.telegram import Wrapper
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.clean_data_folder()
The provided code snippet includes necessary dependencies for implementing the `update_start_... | update manual start bot list |
168,106 | import dash_bootstrap_components as dbc
from dash import dcc, html, Input, Output, State, MATCH, callback
from models.telegram import Wrapper
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.clean_data_folder()
def get_bot_status(pair):
""" Get bot status for accordion heading """
if pair is not ... | create bot accordions |
168,107 | import os
import dash_bootstrap_components as dbc
from dash import dcc, html, callback, Output, Input
def get_last_n_lines(file_name, N):
"""Get lines in file"""
# Create an empty list to keep the track of last N lines
list_of_lines = []
# Open file for reading in binary mode
with open(file_name, "r... | read log file updated |
168,108 | import os
import dash_bootstrap_components as dbc
from dash import dcc, html, callback, Output, Input
The provided code snippet includes necessary dependencies for implementing the `get_log_content` function. Write a Python function `def get_log_content(n)` to solve the following problem:
read log files add names to d... | read log files add names to dropdown |
168,109 | from dash import dcc, html, Input, Output, callback, State
import dash_bootstrap_components as dbc
from models.telegram import Wrapper
from models.exchange import Granularity
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.read_config()
The provided code snippet includes necessary dependencies for impl... | Save changes |
168,110 | from dash import dcc, html, Input, Output, callback, State
import dash_bootstrap_components as dbc
from models.telegram import Wrapper
from models.exchange import Granularity
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.read_config()
The provided code snippet includes necessary dependencies for impl... | enable/disable buy size amount |
168,111 | from dash import dcc, html, Input, Output, callback, State
import dash_bootstrap_components as dbc
from models.telegram import Wrapper
from models.exchange import Granularity
The provided code snippet includes necessary dependencies for implementing the `buy_near_high_switch` function. Write a Python function `def buy... | enable/disable buy size amount |
168,112 | from dash import dcc, html, Input, Output, callback, State
import dash_bootstrap_components as dbc
from models.telegram import Wrapper
from models.exchange import Granularity
The provided code snippet includes necessary dependencies for implementing the `buy_size_switch` function. Write a Python function `def buy_size... | enable/disable buy size amount |
168,113 | from dash import dcc, html, Input, Output, callback, State
import dash_bootstrap_components as dbc
from models.telegram import Wrapper
from models.exchange import Granularity
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.read_config()
The provided code snippet includes necessary dependencies for impl... | enable/disable prevent loss settings |
168,114 | from dash import dcc, html, Input, Output, callback, State
import dash_bootstrap_components as dbc
from models.telegram import Wrapper
from models.exchange import Granularity
The provided code snippet includes necessary dependencies for implementing the `trailing_stop_loss_switch` function. Write a Python function `de... | enable/disable trailing stop loss settings |
168,115 | from dash import dcc, html, Input, Output, callback, State
import dash_bootstrap_components as dbc
from models.telegram import Wrapper
from models.exchange import Granularity
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.read_config()
The provided code snippet includes necessary dependencies for impl... | Select Exchange |
168,116 | from dash import dcc, html, Input, Output, callback, State
import dash_bootstrap_components as dbc
from models.telegram import Wrapper
from models.exchange import Granularity
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.read_config()
def sellatloss(value):
result = 0
margin = 0
if value ... | null |
168,117 | from dash import dcc, html, Input, Output, callback, State
import dash_bootstrap_components as dbc
from models.telegram import Wrapper
from models.exchange import Granularity
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.read_config()
def buy_near_high(value):
result = 0
if value is not None:... | null |
168,118 | from dash import dcc, html, Input, Output, callback, State
import dash_bootstrap_components as dbc
from models.telegram import Wrapper
from models.exchange import Granularity
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.read_config()
def buy_max_size(value):
result = 0
if value is not None:
... | null |
168,119 | from dash import dcc, html, Input, Output, callback, State
import dash_bootstrap_components as dbc
from models.telegram import Wrapper
from models.exchange import Granularity
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.read_config()
def buy_min_size(value):
result = 0
if value is not None:
... | null |
168,120 | from dash import dcc, html, Input, Output, callback, State
import dash_bootstrap_components as dbc
from models.telegram import Wrapper
from models.exchange import Granularity
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.read_config()
class Granularity(Enum):
ONE_MINUTE = 60, "1m", "1min", "1T"
... | read granularityfrom config |
168,121 | from dash import dcc, html, Input, Output, callback, State
import dash_bootstrap_components as dbc
from models.telegram import Wrapper
from models.exchange import Granularity
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.read_config()
The provided code snippet includes necessary dependencies for impl... | read trailingstoplosstrigger from config |
168,122 | from dash import dcc, html, Input, Output, callback, State
import dash_bootstrap_components as dbc
from models.telegram import Wrapper
from models.exchange import Granularity
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.read_config()
The provided code snippet includes necessary dependencies for impl... | read preventloss from config |
168,123 | from dash import dcc, html, Input, Output, callback, State
import dash_bootstrap_components as dbc
from models.telegram import Wrapper
from models.exchange import Granularity
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.read_config()
The provided code snippet includes necessary dependencies for impl... | Make config changes |
168,124 | from dash import dcc, html, Input, Output, callback, State
import dash_bootstrap_components as dbc
from models.telegram import Wrapper
from models.exchange import Granularity
tg_wrapper = Wrapper("config.json", "webgui")
tg_wrapper.helper.read_config()
class Granularity(Enum):
ONE_MINUTE = 60, "1m", "1min", "1T"
... | Set exchange granularity |
168,125 | import os
import re
import sys
import argparse
import webbrowser
from threading import Timer
from logsvc.app import app
http_host = "0.0.0.0"
http_port = 5000
def open_browser() -> None:
webbrowser.open_new(f"http://{http_host}:{http_port}/") | null |
168,126 | import re
import sys
import datetime
from models.Trading import TechnicalAnalysis
from models.exchange.binance import PublicAPI as BPublicAPI
from models.exchange.coinbase_pro import PublicAPI as CPublicAPI
def header() -> str:
return """
<!doctype html>
<html lang="en">
<head>
<!-- Required me... | null |
168,127 | import re
import sys
import datetime
from models.Trading import TechnicalAnalysis
from models.exchange.binance import PublicAPI as BPublicAPI
from models.exchange.coinbase_pro import PublicAPI as CPublicAPI
def footer() -> str:
return """
</body>
</html>
""" | null |
168,128 | import re
import sys
import datetime
from models.Trading import TechnicalAnalysis
from models.exchange.binance import PublicAPI as BPublicAPI
from models.exchange.coinbase_pro import PublicAPI as CPublicAPI
def is_binance_market_valid(market: str) -> bool:
p = re.compile(r"^[A-Z0-9]{5,12}$")
if p.match(market)... | null |
168,129 | import re
import sys
import datetime
from models.Trading import TechnicalAnalysis
from models.exchange.binance import PublicAPI as BPublicAPI
from models.exchange.coinbase_pro import PublicAPI as CPublicAPI
def is_coinbase_market_valid(market: str) -> bool:
p = re.compile(r"^[0-9A-Z]{1,20}\-[1-9A-Z]{2,5}$")
if... | null |
168,130 | import os
import sys
import time
import signal
from models.exchange.coinbase_pro import WebSocketClient as CWebSocketClient
from models.exchange.Granularity import Granularity
def cls():
os.system("cls" if os.name == "nt" else "clear") | null |
168,131 | import os
import sys
import time
import signal
from models.exchange.coinbase_pro import WebSocketClient as CWebSocketClient
from models.exchange.Granularity import Granularity
def handler(signum, frame):
if signum == 2:
print(" -> not finished yet!")
return | null |
168,132 | import sys
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from controllers.PyCryptoBot import PyCryptoBot
from models.exchange.ExchangesEnum import Exchange
from models.exchange.Granularity import Granularity
from models.Trading import TechnicalAnalysis
uppe... | null |
168,133 | import os
import sys
import time
import signal
from models.exchange.binance import WebSocketClient as BWebSocketClient
from models.exchange.Granularity import Granularity
def cls():
os.system("cls" if os.name == "nt" else "clear") | null |
168,134 | import os
import sys
import time
import signal
from models.exchange.binance import WebSocketClient as BWebSocketClient
from models.exchange.Granularity import Granularity
def signal_handler(signum, frame):
if signum == 2:
print(" -> not finished yet!")
return | null |
168,135 | import os
import sys
import time
import signal
from models.exchange.kucoin import WebSocketClient as KWebSocketClient
from models.exchange.Granularity import Granularity
def cls():
os.system("cls" if os.name == "nt" else "clear") | null |
168,136 | import os
import sys
import time
import signal
from models.exchange.kucoin import WebSocketClient as KWebSocketClient
from models.exchange.Granularity import Granularity
def signal_handler(signum, frame):
if signum == 2:
print(" -> not finished yet!")
return | null |
168,138 | import os
import sys
import time
import signal
from models.exchange.coinbase_pro import WebSocketClient as CWebSocketClient
from models.exchange.Granularity import Granularity
def signal_handler(signum, frame):
if signum == 2:
print(" -> not finished yet!")
return | null |
168,139 | import os
import sys
import time
import signal
from models.exchange.binance import WebSocketClient as BWebSocketClient
def cls():
os.system("cls" if os.name == "nt" else "clear") | null |
168,140 | import os
import sys
import time
import signal
from models.exchange.binance import WebSocketClient as BWebSocketClient
def handler(signum, frame):
if signum == 2:
print(" -> not finished yet!")
return | null |
168,142 | import os
import sys
import time
import signal
from models.exchange.kucoin import WebSocketClient as KWebSocketClient
from models.exchange.Granularity import Granularity
def handler(signum, frame):
if signum == 2:
print(" -> not finished yet!")
return | null |
168,143 | import os
import sys
import time
import json
import random
import sched
import signal
import functools
import pandas as pd
import numpy as np
from regex import R
from rich.console import Console
from rich.table import Table
from rich.text import Text
from rich import box
from datetime import datetime, timedelta
from os... | null |
168,144 | import json
import os
from datetime import datetime, timedelta
import pandas as pd
import dash_bootstrap_components as dbc
import dash_daq as daq
from dash import (
Dash,
html,
dcc,
callback,
clientside_callback,
Input,
Output,
dash_table,
)
from pages import controls, config, terminals,... | page navigation |
168,145 | import json
import os
from datetime import datetime, timedelta
import pandas as pd
import dash_bootstrap_components as dbc
import dash_daq as daq
from dash import (
Dash,
html,
dcc,
callback,
clientside_callback,
Input,
Output,
dash_table,
)
from pages import controls, config, terminals,... | Update all data |
168,146 | import json
import os
from datetime import datetime, timedelta
import pandas as pd
import dash_bootstrap_components as dbc
import dash_daq as daq
from dash import (
Dash,
html,
dcc,
callback,
clientside_callback,
Input,
Output,
dash_table,
)
from pages import controls, config, terminals,... | Update graphs |
168,147 | import json
import os
from datetime import datetime, timedelta
import pandas as pd
import dash_bootstrap_components as dbc
import dash_daq as daq
from dash import (
Dash,
html,
dcc,
callback,
clientside_callback,
Input,
Output,
dash_table,
)
from pages import controls, config, terminals,... | Update Graphs |
168,148 | import json
import os
from datetime import datetime, timedelta
import pandas as pd
import dash_bootstrap_components as dbc
import dash_daq as daq
from dash import (
Dash,
html,
dcc,
callback,
clientside_callback,
Input,
Output,
dash_table,
)
from pages import controls, config, terminals,... | Active Margins Gauge |
168,149 | import json
import os
from datetime import datetime, timedelta
import pandas as pd
import dash_bootstrap_components as dbc
import dash_daq as daq
from dash import (
Dash,
html,
dcc,
callback,
clientside_callback,
Input,
Output,
dash_table,
)
from pages import controls, config, terminals,... | 7 Day Total Margins Gauge |
168,150 | import json
import os
from datetime import datetime, timedelta
import pandas as pd
import dash_bootstrap_components as dbc
import dash_daq as daq
from dash import (
Dash,
html,
dcc,
callback,
clientside_callback,
Input,
Output,
dash_table,
)
from pages import controls, config, terminals,... | hides some columns based on screen width |
168,151 | import time
import json
import pandas as pd
import re
import sys
from datetime import datetime
from decimal import Decimal
from itertools import islice
from tradingview_ta import *
from importlib.metadata import version
from controllers.PyCryptoBot import PyCryptoBot
from models.helper.TelegramBotHelper import Telegram... | null |
168,152 | import time
import json
import pandas as pd
import re
import sys
from datetime import datetime
from decimal import Decimal
from itertools import islice
from tradingview_ta import *
from importlib.metadata import version
from controllers.PyCryptoBot import PyCryptoBot
from models.helper.TelegramBotHelper import Telegram... | null |
168,153 | import time
import json
import pandas as pd
import re
import sys
from datetime import datetime
from decimal import Decimal
from itertools import islice
from tradingview_ta import *
from importlib.metadata import version
from controllers.PyCryptoBot import PyCryptoBot
from models.helper.TelegramBotHelper import Telegram... | Hit TradingView up for the goods so we don't waste unnecessary time/compute resources (brandon's top picks) |
168,154 | from stat import UF_APPEND
from views.PyCryptoBot import RichText
class RichText:
def notify(_notification, app: object = None, level: str = "normal") -> None:
# if notification is not a string, convert it to a string
notification = ""
if isinstance(_notification, str):
notifica... | Calculate the margin for a given trade. |
168,155 | import ast
import json
import os.path
import re
import sys
from .default_parser import is_currency_valid, default_config_parse, merge_config_and_args
from models.exchange.Granularity import Granularity
def parse_market(market):
def merge_config_and_args(exchange_config, args):
def is_currency_valid(currency):
def ... | null |
168,156 | import re
from .default_parser import is_currency_valid, default_config_parse, merge_config_and_args
from models.helper.LogHelper import Logger
def parser(app, logger_config):
if not logger_config:
raise Exception("There is an error in your config dictionary")
if not app:
raise Exception("No a... | null |
168,157 | import re
from .default_parser import is_currency_valid, default_config_parse, merge_config_and_args
def parse_market(market):
if not is_market_valid(market):
raise ValueError(f'Dummy market invalid: {market}')
base_currency, quote_currency = market.split('-', 2)
return market, base_currency, quote_... | null |
168,158 | import ast
import json
import os.path
import re
import sys
from .default_parser import is_currency_valid, default_config_parse, merge_config_and_args
from models.exchange.Granularity import Granularity
def parse_market(market):
if not is_market_valid(market):
raise ValueError(f"Coinbase market invalid: {mar... | null |
168,159 | import ast
import json
import os.path
import re
import sys
from .default_parser import is_currency_valid, default_config_parse, merge_config_and_args
def parse_market(market):
base_currency = "BTC"
quote_currency = "GBP"
if not is_market_valid(market):
raise ValueError(f"Binance market invalid: {mar... | null |
168,160 | import re
import ast
import json
import os.path
import sys
from .default_parser import is_currency_valid, default_config_parse, merge_config_and_args
from models.exchange.Granularity import Granularity
def parse_market(market):
if not is_market_valid(market):
raise ValueError("Kucoin market invalid: " + mar... | null |
168,161 | import math
from typing import Union
def truncate(f: Union[int, float], n: Union[int, float]) -> str:
"""
Format a given number ``f`` with a given precision ``n``.
"""
if not isinstance(f, int) and not isinstance(f, float):
return "0.0"
if not isinstance(n, int) and not isinstance(n, float):... | Compare two values and print a message if they are not equal. |
168,162 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from disentanglement_lib.evaluation import evaluate
from disentanglement_lib.evaluation.metrics import utils
from disentanglement_lib.methods.unsupervised import train
from disentanglement_lib.methods.... | Example of a custom (dummy) metric. Preimplemented metrics can be found in disentanglement_lib.evaluation.metrics. Args: ground_truth_data: GroundTruthData to be sampled from. representation_function: Function that takes observations as input and outputs a dim_representation sized representation for each observation. r... |
168,163 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from disentanglement_lib.data.ground_truth import ground_truth_data
from disentanglement_lib.data.ground_truth import util
import numpy as np
import PIL
from six.moves import range
from six.moves impor... | Loads several chunks of the small norb data set for final use. |
168,164 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from disentanglement_lib.data.ground_truth import ground_truth_data
from disentanglement_lib.data.ground_truth import util
import numpy as np
import PIL
import scipy.io as sio
from six.moves import ran... | Parses a single source file and rescales contained images. |
168,165 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import time
from disentanglement_lib.data.ground_truth import named_data
from disentanglement_lib.evaluation.metrics import beta_vae
from disentanglement_lib.evaluation.metrics import dci
from disent... | Validate a representation based on the provided gin configuration. This function will set the provided gin bindings, call the evaluate() function and clear the gin config. Please see the evaluate() for required gin bindings. Args: model_dir: String with path to directory where the representation is saved. output_dir: S... |
168,166 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import time
from disentanglement_lib.data.ground_truth import named_data
from disentanglement_lib.methods.unsupervised import gaussian_encoder_model
from disentanglement_lib.methods.weak import weak_va... | Trains a model based on the provided gin configuration. This function will set the provided gin bindings, call the train() function and clear the gin config. Please see the train() for required gin bindings. Args: model_dir: String with path to directory where model output should be saved. overwrite: Boolean indicating... |
168,167 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from disentanglement_lib.methods.shared import losses
from disentanglement_lib.methods.shared import optimizers
from disentanglement_lib.methods.unsupervised import vae
from six.moves import zip
import tensorf... | Wrapper that creates weakly-supervised losses. |
168,168 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from disentanglement_lib.methods.shared import losses
from disentanglement_lib.methods.shared import optimizers
from disentanglement_lib.methods.unsupervised import vae
from six.moves import zip
import tensorf... | Use labels to aggregate. Labels contains a one-hot encoding with a single 1 of a factor shared. We enforce which dimension of the latent code learn which factor (dimension 1 learns factor 1) and we enforce that each factor of variation is encoded in a single dimension. Args: z_mean: Mean of the encoder distribution for... |
168,169 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from disentanglement_lib.methods.shared import losses
from disentanglement_lib.methods.shared import optimizers
from disentanglement_lib.methods.unsupervised import vae
from six.moves import zip
import tensorf... | Argmax aggregation with adaptive k. The bottom k dimensions in terms of distance are not averaged. K is estimated adaptively by binning the distance into two bins of equal width. Args: z_mean: Mean of the encoder distribution for the original image. z_logvar: Logvar of the encoder distribution for the original image. n... |
168,170 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from disentanglement_lib.methods.shared import losses
from disentanglement_lib.methods.shared import optimizers
from disentanglement_lib.methods.unsupervised import vae
from six.moves import zip
import tensorf... | null |
168,171 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from disentanglement_lib.methods.shared import losses
from disentanglement_lib.methods.shared import optimizers
from disentanglement_lib.methods.unsupervised import vae
from six.moves import zip
import tensorf... | Utility function to report tf.metrics in model functions. |
168,172 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow.compat.v1 as tf
import tensorflow_probability as tfp
import gin.tf
The provided code snippet includes necessary dependencies for implementing the `bernoulli_loss` function. ... | Computes the Bernoulli loss. |
168,173 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow.compat.v1 as tf
import tensorflow_probability as tfp
import gin.tf
The provided code snippet includes necessary dependencies for implementing the `make_reconstruction_loss` ... | Wrapper that creates reconstruction loss. |
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