import datetime
import pandas as pd


class DeviceConfig:
    LOG_PATH = "D:/github_program/myPython/logs/logs.log"
    CSV_PATH = "D:/github_program/myPython/docs/csvfiles"
    CONF_PATH = "D:/github_program/myPython/docs/conf/"
    RESULT_PATH = "D:/github_program/myPython/docs/rst/"
    START_DATE = "2018-04-01"
    END_DATE = "2018-04-05"
    DATE_RANGE = (datetime.datetime.strptime(END_DATE, '%Y-%m-%d')
                  - datetime.datetime.strptime(START_DATE, '%Y-%m-%d')).days + 1
    ID_HURDLE = 30
    TRX_HURDLE = 60000


class SimilarityConfig:
    LOG_PATH = "D:/github_program/myPython/logs/logs.log"
    CSV_PATH = "D:/github_program/myPython/docs/csvfiles"
    CONF_PATH = "D:/github_program/myPython/docs/conf/"
    RESULT_PATH = "D:/github_program/myPython/docs/rst/"
    START_DATE = pd.Timestamp(2018, 4, 1)
    END_DATE = pd.Timestamp(2018, 4, 20)
    DATE_RANGE = END_DATE - START_DATE


class WeeklyStatConfig:
    LOG_PATH = "D:/github_program/myPython/logs/logs.log"
    CSV_PATH = "D:/github_program/myPython/docs/csvfiles"
    CONF_PATH = "D:/github_program/myPython/docs/conf/"
    RESULT_PATH = "D:/github_program/myPython/docs/rst/"
    CST_CS = "CS"
    CST_CW = "CW"
    CST_DS = "DS"


09de41405394a71bdf70d0a1f485c712b3950d99
<mask token>


class WeeklyStatConfig:
    LOG_PATH = 'D:/github_program/myPython/logs/logs.log'
    CSV_PATH = 'D:/github_program/myPython/docs/csvfiles'
    CONF_PATH = 'D:/github_program/myPython/docs/conf/'
    RESULT_PATH = 'D:/github_program/myPython/docs/rst/'
    CST_CS = 'CS'
    CST_CW = 'CW'
    CST_DS = 'DS'

<mask token>


class DeviceConfig:
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>


class SimilarityConfig:
    LOG_PATH = 'D:/github_program/myPython/logs/logs.log'
    CSV_PATH = 'D:/github_program/myPython/docs/csvfiles'
    CONF_PATH = 'D:/github_program/myPython/docs/conf/'
    RESULT_PATH = 'D:/github_program/myPython/docs/rst/'
    START_DATE = pd.Timestamp(2018, 4, 1)
    END_DATE = pd.Timestamp(2018, 4, 20)
    DATE_RANGE = END_DATE - START_DATE


class WeeklyStatConfig:
    LOG_PATH = 'D:/github_program/myPython/logs/logs.log'
    CSV_PATH = 'D:/github_program/myPython/docs/csvfiles'
    CONF_PATH = 'D:/github_program/myPython/docs/conf/'
    RESULT_PATH = 'D:/github_program/myPython/docs/rst/'
    CST_CS = 'CS'
    CST_CW = 'CW'
    CST_DS = 'DS'

<mask token>


class DeviceConfig:
    LOG_PATH = 'D:/github_program/myPython/logs/logs.log'
    CSV_PATH = 'D:/github_program/myPython/docs/csvfiles'
    CONF_PATH = 'D:/github_program/myPython/docs/conf/'
    RESULT_PATH = 'D:/github_program/myPython/docs/rst/'
    START_DATE = '2018-04-01'
    END_DATE = '2018-04-05'
    DATE_RANGE = (datetime.datetime.strptime(END_DATE, '%Y-%m-%d') -
        datetime.datetime.strptime(START_DATE, '%Y-%m-%d')).days + 1
    ID_HURDLE = 30
    TRX_HURDLE = 60000


class SimilarityConfig:
    LOG_PATH = 'D:/github_program/myPython/logs/logs.log'
    CSV_PATH = 'D:/github_program/myPython/docs/csvfiles'
    CONF_PATH = 'D:/github_program/myPython/docs/conf/'
    RESULT_PATH = 'D:/github_program/myPython/docs/rst/'
    START_DATE = pd.Timestamp(2018, 4, 1)
    END_DATE = pd.Timestamp(2018, 4, 20)
    DATE_RANGE = END_DATE - START_DATE


class WeeklyStatConfig:
    LOG_PATH = 'D:/github_program/myPython/logs/logs.log'
    CSV_PATH = 'D:/github_program/myPython/docs/csvfiles'
    CONF_PATH = 'D:/github_program/myPython/docs/conf/'
    RESULT_PATH = 'D:/github_program/myPython/docs/rst/'
    CST_CS = 'CS'
    CST_CW = 'CW'
    CST_DS = 'DS'

import datetime
import pandas as pd


class DeviceConfig:
    LOG_PATH = 'D:/github_program/myPython/logs/logs.log'
    CSV_PATH = 'D:/github_program/myPython/docs/csvfiles'
    CONF_PATH = 'D:/github_program/myPython/docs/conf/'
    RESULT_PATH = 'D:/github_program/myPython/docs/rst/'
    START_DATE = '2018-04-01'
    END_DATE = '2018-04-05'
    DATE_RANGE = (datetime.datetime.strptime(END_DATE, '%Y-%m-%d') -
        datetime.datetime.strptime(START_DATE, '%Y-%m-%d')).days + 1
    ID_HURDLE = 30
    TRX_HURDLE = 60000


class SimilarityConfig:
    LOG_PATH = 'D:/github_program/myPython/logs/logs.log'
    CSV_PATH = 'D:/github_program/myPython/docs/csvfiles'
    CONF_PATH = 'D:/github_program/myPython/docs/conf/'
    RESULT_PATH = 'D:/github_program/myPython/docs/rst/'
    START_DATE = pd.Timestamp(2018, 4, 1)
    END_DATE = pd.Timestamp(2018, 4, 20)
    DATE_RANGE = END_DATE - START_DATE


class WeeklyStatConfig:
    LOG_PATH = 'D:/github_program/myPython/logs/logs.log'
    CSV_PATH = 'D:/github_program/myPython/docs/csvfiles'
    CONF_PATH = 'D:/github_program/myPython/docs/conf/'
    RESULT_PATH = 'D:/github_program/myPython/docs/rst/'
    CST_CS = 'CS'
    CST_CW = 'CW'
    CST_DS = 'DS'

import datetime
import pandas as pd


class DeviceConfig:
    LOG_PATH = "D:/github_program/myPython/logs/logs.log"
    CSV_PATH = "D:/github_program/myPython/docs/csvfiles"
    CONF_PATH = "D:/github_program/myPython/docs/conf/"
    RESULT_PATH = "D:/github_program/myPython/docs/rst/"
    START_DATE = "2018-04-01"
    END_DATE = "2018-04-05"
    DATE_RANGE = (datetime.datetime.strptime(END_DATE, '%Y-%m-%d')
                  - datetime.datetime.strptime(START_DATE, '%Y-%m-%d')).days + 1
    ID_HURDLE = 30
    TRX_HURDLE = 60000


class SimilarityConfig:
    LOG_PATH = "D:/github_program/myPython/logs/logs.log"
    CSV_PATH = "D:/github_program/myPython/docs/csvfiles"
    CONF_PATH = "D:/github_program/myPython/docs/conf/"
    RESULT_PATH = "D:/github_program/myPython/docs/rst/"
    START_DATE = pd.Timestamp(2018, 4, 1)
    END_DATE = pd.Timestamp(2018, 4, 20)
    DATE_RANGE = END_DATE - START_DATE


class WeeklyStatConfig:
    LOG_PATH = "D:/github_program/myPython/logs/logs.log"
    CSV_PATH = "D:/github_program/myPython/docs/csvfiles"
    CONF_PATH = "D:/github_program/myPython/docs/conf/"
    RESULT_PATH = "D:/github_program/myPython/docs/rst/"
    CST_CS = "CS"
    CST_CW = "CW"
    CST_DS = "DS"

