text: import numpy as np
  np.random.seed(57683) # change this number to one for which your scripts successfully run on the dummy data
  
  from cohortextractor import (
      StudyDefinition,
      patients,
      codelist,
      codelist_from_csv,
      combine_codelists,
  )
  
  from codelists import *
  
  study = StudyDefinition(
      default_expectations={
          "date": {"earliest": "1900-01-01", "latest": "today"},
          "rate": "uniform",
          "incidence": 0.5,
      },
      population=patients.registered_with_one_practice_between(
          "2019-02-01", "2020-02-01"
      ),
  
  ### AGE ###
  
      age=patients.age_as_of(
          "2019-09-01",
          return_expectations={
              "rate": "universal",
              "int": {"distribution": "population_ages"},
          },
      ),
      
  ### SEX ###
  
      sex=patients.sex(
      return_expectations={
          "rate": "universal",
          "category": {"ratios": {"M": 0.49, "F": 0.51}},
      }
  ),
  
  ### BMI ###
  
      bmi=patients.most_recent_bmi(
      between=["2010-02-01", "2020-01-31"],
      minimum_age_at_measurement=18,
      include_measurement_date=True,
      date_format="YYYY-MM",
      return_expectations={
          "date": {"earliest": "2010-02-01", "latest": "2020-01-31"},
          "float": {"distribution": "normal", "mean": 28, "stddev": 8},
          "incidence": 0.80,
      }
  ),
  
  ### IMD BASED ON PATIENT ADDRESS
  
  imd=patients.address_as_of(
      "2020-02-29",
      returning="index_of_multiple_deprivation",
      round_to_nearest=100,
      return_expectations={
          "rate": "universal",
          "category": {"ratios": {"100": 0.1, "200": 0.2, "300": 0.7}},
      },
  ),
  
  ####
  # COVID TESTS - SGSS
  ####
  
  first_tested_for_covid=patients.with_test_result_in_sgss(
      pathogen="SARS-CoV-2",
      test_result="any",
      on_or_after="2020-02-01",
      find_first_match_in_period=True,
      returning="date",
      date_format="YYYY-MM-DD",
      return_expectations={
          "date": {"earliest" : "2020-02-01"},
          "rate" : "exponential_increase"
      },
  ),
  first_positive_test_date=patients.with_test_result_in_sgss(
      pathogen="SARS-CoV-2",
      test_result="positive",
      on_or_after="2020-02-01",
      find_first_match_in_period=True,
      returning="date",
      date_format="YYYY-MM-DD",
      return_expectations={
          "date": {"earliest" : "2020-02-01"},
          "rate" : "exponential_increase"
      },
  ),
  
  ####
  # COVID-deaths - CPNS
  ####
  
  died_date_cpns=patients.with_death_recorded_in_cpns(
      on_or_after="2020-02-01",
      returning="date_of_death",
      include_month=True,
      include_day=True,
      return_expectations={
          "date": {"earliest" : "2020-02-01"},
          "rate" : "exponential_increase"
      },
  ),
  
  ####
  # SUS
  ####
  
  ethnicity_6_sus=patients.with_ethnicity_from_sus(
      returning="group_6",
      use_most_frequent_code=True,
      return_expectations={
          "category": {"ratios": {"1": 0.2, "2": 0.2, "3": 0.2, "4": 0.2, "5": 0.2}},
          "incidence": 0.8,
      },
      ),
  
  ### ASTHMA
  
      asthma = patients.with_these_clinical_events(
          asthma_codes,
          returning = 'binary_flag',
          return_expectations={
              "incidence": 0.15,
          }
      ),
  
  # ### aplastic anaemia 
  
  aplastic_anaemia = patients.with_these_clinical_events(
          aplastic_anaemia_codes,
          returning = 'binary_flag',
          return_expectations={
              "incidence": 0.04,
          }
      )
  )
  