text:
from itertools import chain
from sqlalchemy import case, create_engine, func, text, BigInteger, Boolean, Column, DateTime, Float, Integer, MetaData, String, Table
from sqlalchemy.dialects.postgresql import ARRAY, INT8RANGE
from sqlalchemy.sql.expression import and_, or_, between, join, label
from geoalchemy2 import Geometry
from geoalchemy2.functions import GenericFunction, ST_Intersects, ST_X, ST_Y
import datetime
import itertools
import re
import time
import config.maxmind

def aggregate(config, debug=False):
    from sqlalchemy.schema import CreateTable
    engine = create_engine(config.database_uri)
    metadata = MetaData()
    records = config.make_cache_table(metadata)
    for agg in config.aggregations:
        if not debug:
            agg.build_aggregate_table(engine, metadata, records)
        else:
            query = agg.build_aggregate_query(engine, metadata, records)
            print (query.compile(engine))

class ST_MakeBox2D(GenericFunction):
    name = 'ST_MakeBox2D'
    type = Geometry

class ST_Point(GenericFunction):
    name = 'ST_Point'
    type = Geometry

class ST_SnapToGrid(GenericFunction):
    name = 'ST_SnapToGrid'
    type = Geometry

class Aggregation(object):
    def __init__(self, name, statistics_table_name, bins, statistics):
        self.name = name
        self.statistics_table_name = statistics_table_name
        self.bins = bins
        self.statistics = statistics

    def build_aggregate_query(self, engine, metadata, records):
        statistics_table = self.make_table(metadata)
        statistics_table.create(engine, checkfirst = True)

        # Delete all records from stats table before aggregating, since
        # subsequent runs append rather than overwite.
        engine.execute(statistics_table.delete())

        selection = records.select().with_only_columns([])
        columns = []
        for b in self.bins:
            cols, selection = b.build_query_to_populate(selection, records, statistics_table)
            columns += cols
        for s in self.statistics:
            cols, selection = s.build_query_to_populate(selection, records, statistics_table)
            columns += cols

        return statistics_table.insert().from_select(columns, selection)

    def build_aggregate_table(self, engine, metadata, records):
        query = self.build_aggregate_query(engine, metadata, records)

        with engine.begin() as conn:
            conn.execute(query)

    def make_table(self, metadata):
        bin_columns = chain.from_iterable(b.postgres_columns for b in self.bins)
        stat_columns = chain.from_iterable(b.postgres_columns for b in self.statistics)
        return Table(self.statistics_table_name, metadata,
                Column('id', Integer, primary_key = True),
                *list(chain(bin_columns, stat_columns)),
                keep_existing = True)

    def selection(self, engine, metadata, bins, filters, statistics):
        table = self.make_table(metadata)

        bin_keys = []
        filter_predicates = []

        selection = table.select().with_only_columns([])
        for b in self.bins:
            if b.label in bins:
                selection = b.build_query_to_report(selection, table, bins[b.label])
            if b.label in filters:
                selection = b.filter_query_to_report(selection, table, filters[b.label])
        for s in statistics:
            selection = s.build_query_to_report(selection, table)

        return selection

    def query(self, engine, metadata, bins, filters, statistics):
        selection = self.selection(engine, metadata, bins, filters, statistics)

        with engine.connect() as conn:
            return conn.execute(selection)

    def __repr__(self):
        return "{name}: table={table} bins={bins} stats={stats}".format(name=self.name, table=self.statistics_table_name, bins=self.bins, stats=self.statistics)

class Aggregator(object):
    def __init__(self, database_uri, cache_table_name, filters, aggregations):
        self.database_uri = database_uri
        self.cache_table_name = cache_table_name
        self.filters = filters
        self.aggregations = aggregations

    def make_cache_table(self, metadata):
        return Table(self.cache_table_name, metadata,
                Column('id', BigInteger, primary_key = True),
                Column('time', DateTime),
                Column('location', Geometry("POINT", srid=4326)),
                Column('client_ip', BigInteger),
                Column('server_ip', BigInteger),
                Column('countrtt', BigInteger),
                Column('sumrtt', BigInteger),
                Column('download_flag', Boolean),
                Column('download_time', BigInteger),
                Column('download_octets', BigInteger),
                Column('upload_time', BigInteger),
                Column('upload_octets', BigInteger),
                Column('bigquery_key', String),
                Column('test_id', String))

    def make_extra_data_table(self, metadata):
        return Table("extra_data", metadata,
                Column('id', BigInteger, primary_key = True),
                Column("timestamp", DateTime),
                Column("verified", Boolean),
                Column("bigquery_key", String),
                Column("bigquery_test_id", String),
                Column("connection_type", String),
                Column("advertised_download", Integer),
                Column("actual_download", Float),
                Column("advertised_upload", Integer),
                Column("actual_upload", Float),
                Column("min_rtt", Integer),
                Column("location_type", String),
                Column("cost_of_service", Integer),
                Column('client_ip', BigInteger),
                Column("location", Geometry("Point", srid=4326)))

    def ingest_bigquery_query(self):
        select_clause = [
                "web100_log_entry.log_time AS time",
                "connection_spec.client_geolocation.longitude AS longitude",
                "connection_spec.client_geolocation.latitude AS latitude",
                "PARSE_IP(connection_spec.client_ip) AS client_ip",
                "PARSE_IP(connection_spec.server_ip) AS server_ip",
                "web100_log_entry.snap.CountRTT AS countrtt",
                "web100_log_entry.snap.SumRTT AS sumrtt",
                "connection_spec.data_direction AS data_direction",
                "web100_log_entry.snap.SndLimTimeRwin + web100_log_entry.snap.SndLimTimeCwnd + web100_log_entry.snap.SndLimTimeSnd AS download_time",
                "8 * web100_log_entry.snap.HCThruOctetsAcked AS download_octets",
                "web100_log_entry.snap.Duration AS upload_time",
                "8 * web100_log_entry.snap.HCThruOctetsReceived AS upload_octets",
                "CONCAT(String(web100_log_entry.snap.StartTimeStamp % 1000000), String(web100_log_entry.snap.LocalAddress)) AS bigquery_key",
                "test_id"
        ]

        where_clause = list(chain.from_iterable(f.bigquery_filter() for f in self.filters))
        tables = self._tables_for(self.filters)

        return '\n'.join([
            'SELECT',
            ', '.join(select_clause),
            'FROM ',
            ', '.join('[%s]'% t for t in tables),
            'WHERE',
            ' AND '.join(where_clause),
            ';'])

    def _tables_for(self, filters):
        all_tables = []
        current_year_month = time.gmtime()[:2] # first two fields are year and month, handy.
        years = itertools.count(2010)
        months = range(1, 12 + 1)
        possible_year_months = ((year, month) for year in years for month in months)
        valid_year_months = itertools.takewhile(lambda x: x <= current_year_month, possible_year_months)

        for f in filters:
            if isinstance(f, TemporalFilter):
                after = time.gmtime(f.after)[:2]
                before = time.gmtime(f.before)[:2]
                valid_year_months = itertools.ifilter(lambda x: after <= x <= before, valid_year_months)

        return ['plx.google:m_lab.ndt.all']

    def bigquery_row_to_postgres_row(self, bq_row):
        bq_row = [f['v'] for f in bq_row['f']]
        timestamp, longitude, latitude, client_ip, server_ip, countrtt, sumrtt, direction, dl_time, dl_octets, ul_time, ul_octets, bigquery_key, test_id = bq_row

        timestamp = timestamp and datetime.datetime.utcfromtimestamp(float(timestamp))
        location = longitude and latitude and "srid=4326;POINT(%f %f)" % (float(longitude), float(latitude))
        client_ip = client_ip and int(client_ip)
        server_ip = server_ip and int(server_ip)
        countrtt = countrtt and int(countrtt)
        sumrtt = sumrtt and int(sumrtt)
        direction = direction and bool(int(direction))
        dl_time = dl_time and float(dl_time)
        dl_octets = dl_octets and int(dl_octets)
        ul_time = ul_time and float(ul_time)
        ul_octets = ul_octets and int(ul_octets)
        bigquery_key = bigquery_key
        test_id = test_id

        pg_row = dict(
                time=timestamp,
                location=location,
                client_ip = client_ip,
                server_ip = server_ip,
                countrtt=countrtt,
                sumrtt = sumrtt,
                download_flag = direction,
                download_time = dl_time,
                download_octets = dl_octets,
                upload_time = ul_time,
                upload_octets = ul_octets,
                bigquery_key = bigquery_key,
                test_id = test_id)

        return pg_row

class Bins(object):
    pass

class SpatialGridBins(Bins):
    label = "spatial_grid"

    def __init__(self, resolution):
        self.resolution = resolution

    @property
    def postgres_columns(self):
        return [Column('cell', Geometry('POINT', srid=4326))]

    def build_query_to_populate(self, query, full_table, aggregate_table):
        insert_columns = [aggregate_table.c.cell]
        snapped_geom = func.ST_SnapToGrid(full_table.c.location, self.resolution)
        select_query = (query
                .column(snapped_geom)
                .group_by(snapped_geom))
        return insert_columns, select_query

    def build_query_to_report(self, query, aggregate_table, res):
        if isinstance(res, basestring):
            try:
                res = float(res)
            except ValueError:
                res = self.resolution
        snapped_geom = func.ST_SnapToGrid(aggregate_table.c.cell, res)
        grid_cell = func.ST_MakeBox2D(snapped_geom, func.ST_Translate(snapped_geom, res, res))
        return query.column(label('cell', func.ST_AsGeoJSON(grid_cell))).group_by(snapped_geom)

    def postgres_aggregates(self, resolution):
        if isinstance(resolution, basestring):
            try:
                resolution = float(resolution)
            except ValueError:
                resolution = self.resolution
        return [
            label('cell_x', func.floor(ST_X(Column('cell')) / resolution) * resolution),
            label('cell_y', func.floor(ST_Y(Column('cell')) / resolution) * resolution)]

    def postgres_filters(self, params):
        if isinstance(params, basestring):
            params = map(float, params.split(","))
        xmin, ymin, xmax, ymax = params
        return [
            ST_Intersects(Column('cell'), ST_MakeBox2D(ST_Point(xmin, ymin), ST_Point(xmax, ymax)))]

    def __repr__(self):
        return """Grid(res={resolution})""".format(
                resolution=self.resolution)

class SpatialJoinBins(Bins):
    label = "spatial_join"

    def __init__(self, table, geometry_column, key, join_custom_data, key_type):
        self.table = table
        self.geometry_column = geometry_column
        self.key = key
        self.key_type = key_type
        self.join_custom_data = join_custom_data

    @property
    def postgres_columns(self):
        return [Column('join_key', self.key_type)]

    def build_query_to_populate(self, query, full_table, aggregate_table):
        insert_columns = [aggregate_table.c.join_key]
        fk = Column(self.key, Integer)
        geom = Column(self.geometry_column, Geometry())
        bins_table = Table(self.table, full_table.metadata, fk, geom)

        if self.join_custom_data:
            extra_data = Table("extra_data", full_table.metadata,
                    Column("timestamp", DateTime),
                    Column("verified", Boolean),
                    Column("bigquery_key", String),
                    Column("bigquery_test_id", String),
                    Column("connection_type", String),
                    Column("advertised_download", Integer),
                    Column("actual_download", Float),
                    Column("advertised_upload", Integer),
                    Column("actual_upload", Float),
                    Column("min_rtt", Integer),
                    Column("location_type", String),
                    Column("cost_of_service", Integer),
                    Column("location", Geometry("Point", srid=4326)),
                    keep_existing = True)

            joining = join(full_table, extra_data,
                    and_(extra_data.c.bigquery_test_id == func.left(full_table.c.test_id, func.length(extra_data.c.bigquery_test_id))),
                    isouter = True)
            query = query.select_from(joining)
            location = case([(extra_data.c.verified, func.coalesce(extra_data.c.location, full_table.c.location))], else_ = full_table.c.location)
        else:
            location = full_table.c.location

        select_query = (query.select_from(bins_table)
             .where(ST_Intersects(location, geom))
             .column(fk)
             .group_by(fk))
        return insert_columns, select_query

    def build_query_to_report(self, query, aggregate_table, params):
        fk = Column(self.key, Integer)
        geom = Column(self.geometry_column, Geometry())
        join_table = Table(self.table, aggregate_table.metadata, fk, geom)
        if params == 'key':
            query = query.column(label(self.key, aggregate_table.c.join_key))
        else:
            query = query.column(label('geometry', func.ST_AsGeoJSON(func.ST_Collect(geom))))

        return (query
                .select_from(join_table)
                .where(aggregate_table.c.join_key == fk)
                .group_by(aggregate_table.c.join_key))

    def __repr__(self):
        return 'SpatialJoinBins(table={table} geom={geom} key={key} join_custom_data={join}, key_type={key_type})'.format(
                table=self.table, geom=self.geometry_column, key=self.key, join=self.join_custom_data, key_type=self.key_type)

class ISPBins(Bins):
    label = "isp_bins"

    def __init__(self, maxmind_table, rewrites):
        self.maxmind_table = maxmind_table
        self.rewrites = rewrites
        self._maxmind_db = None

    @property
    def postgres_columns(self):
        return [Column("isp", String)]

    def build_query_to_populate(self, query, full_table, aggregate_table):
        insert_columns = [aggregate_table.c.isp]
        ip_range = Column("ip_range", INT8RANGE)
        isp_name = Column("label", String)
        join_table = Table(self.maxmind_table, full_table.metadata, ip_range, isp_name, keep_existing = True)
        isp_label = label('maxmind_isp', self._sql_rewrite(isp_name))
        select_query = (query.select_from(join_table)
                .where(ip_range.contains(full_table.c.client_ip))
                .column(isp_label)
                .group_by('maxmind_isp'))

        return insert_columns, select_query

    def _sql_rewrite(self, isp_name_col):
        cases = []
        for short_name, patterns in self.rewrites.iteritems():
            tests = [isp_name_col.ilike('%{}%'.format(pat)) for pat in patterns]
            cases.append((or_(*tests), short_name))
        return case(cases, else_ = isp_name_col)

    def build_query_to_report(self, query, aggregate_table, params):
        return (query
                .column(aggregate_table.c.isp)
                .group_by(aggregate_table.c.isp))

    def filter_query_to_report(self, query, aggregate_table, params):
        if params:
            isps = params.split(",")
            return query.where(aggregate_table.c.isp.in_(isps))
        else:
            return query

    def __repr__(self):
        return """ISPBins(maxmind_table={})""".format(self.maxmind_table)

class TemporalBins(Bins):
    label = "time_slices"

    "time units supported by postgres date_trunc"
    _known_units = { 'minute', 'hour', 'day', 'week', 'month', 'quarter', 'year', 'decade', 'century', 'millennium' }

    def __init__(self, resolution):
        assert resolution in self._known_units
        self.resolution = resolution

    def build_query_to_populate(self, query, full_table, aggregate_table):
        t = full_table
        truncated_time = func.date_trunc(self.resolution, t.c.time)
        select_query = query.column(truncated_time).group_by(truncated_time)
        insert_columns = [aggregate_table.c.time_step]
        return insert_columns, select_query

    def build_query_to_report(self, query, aggregate_table, params):
        assert params in self._known_units
        res = params

        truncated_time = func.date_trunc(res, aggregate_table.c.time_step)
        return (query
                .column(label("time_slice", func.extract("epoch", truncated_time)))
                .group_by(truncated_time))

    def filter_query_to_report(self, query, aggregate_table, params):
        if isinstance(params, basestring):
            params = map(int, params.split(","))
        after, before = params
        time = func.extract("epoch", aggregate_table.c.time_step)
        return query.where(between(time, after, before))

    @property
    def postgres_columns(self):
        return [Column('time_step', DateTime)]

    def __repr__(self):
        return "Timeslices(res={resolution})".format(resolution=self.resolution)

class Filter(object):
    pass

class BBoxFilter(Filter):
    def __init__(self, bbox):
        self.bbox = bbox

    def bigquery_filter(self):
        xmin, ymin, xmax, ymax = self.bbox
        return [
            "connection_spec.client_geolocation.latitude > {0}".format(ymin),
            "connection_spec.client_geolocation.longitude > {0}".format(xmin),
            "connection_spec.client_geolocation.latitude < {0}".format(ymax),
            "connection_spec.client_geolocation.longitude < {0}".format(xmax)
        ]

    def __repr__(self):
        return """BBOX{0}""".format(self.bbox)

class GeoJsonFilter(Filter):
    def __init__(self, geojson):
        self.geojson = geojson

    def __repr__(self):
        return """GeoJson@{0}""".format(self.geojson)

class TemporalFilter(Filter):
    def __init__(self, after, before):
        self.after = after
        self.before = before

    def bigquery_filter(self):
        return ["IS_EXPLICITLY_DEFINED(web100_log_entry.log_time)",
                "web100_log_entry.log_time > {0}".format(self.after),
                "web100_log_entry.log_time < {0}".format(self.before)]

    def __repr__(self):
        return """{0} < time < {1}""".format(self.after, self.before)

class RawFilter(Filter):
    def __init__(self, query):
        self.query = query

    def bigquery_filter(self):
        return [self.query]

    def __repr__(self):
        return "\"{0}\"".format(self.query)

class Statistic(object):
    def bigquery_to_postgres(self, *fields):
        return zip(map(lambda c: c.name, self.postgres_columns), fields)

    def __repr__(self):
        return self.label

class _AverageRTT(Statistic):
    label = "AverageRTT"
    def build_query_to_populate(self, query, full_table, aggregate_table):
        insert_columns = [aggregate_table.c.sumrtt, aggregate_table.c.countrtt]
        select_query = (query
              .column(func.sum(full_table.c.sumrtt))
              .column(func.sum(full_table.c.countrtt)))
        return insert_columns, select_query

    def build_query_to_report(self, query, aggregate_table):
        a = aggregate_table
        mean = func.sum(a.c.sumrtt) / func.sum(a.c.countrtt)
        is_safe = func.sum(a.c.countrtt) > 0
        safe_mean = (case([(is_safe, mean)], else_ = 0))
        return query.column(label('rtt_avg', safe_mean))

    @property
    def postgres_columns(self):
        return [Column('sumrtt', BigInteger), Column('countrtt', Integer)]

class _MedianRTT(Statistic):
    label = "MedianRTT"

    @property
    def postgres_columns(self):
        return [Column('rtt_samples', ARRAY(Float))]

    def build_query_to_populate(self, query, full_table, aggregate_table):
        insert_columns = [aggregate_table.c.rtt_samples]
        mean = full_table.c.sumrtt / full_table.c.countrtt
        is_safe = full_table.c.countrtt > 0
        safe_mean = case([(is_safe, mean)], else_ = None)
        select_query = (query.column(func.array_agg(safe_mean)))
        return insert_columns, select_query

    def build_query_to_report(self, query, aggregate_table):
        median = func.median(aggregate_table.c.rtt_samples)
        return query.column(label("MedianRTT", median))

class _DownloadCount(Statistic):
    label = "DownloadCount"

    @property
    def postgres_columns(self):
        return [Column('download_count', Integer)]

    def build_query_to_populate(self, query, full_table, aggregate_table):
        insert_columns = [aggregate_table.c.download_count]
        tally = case([(full_table.c.download_flag == True, 1)], else_ = 0)
        select_query = query.column(func.sum(tally))
        return insert_columns, select_query

    def build_query_to_report(self, query, aggregate_table):
        a = aggregate_table
        return query.column(label("download_count", func.sum(a.c.download_count)))

class _AverageDownload(Statistic):
    label = "AverageDownload"

    @property
    def postgres_columns(self):
        return [Column('download_octets', BigInteger), Column('download_time', Float)]

    def build_query_to_populate(self, query, full_table, aggregate_table):
        insert_columns = [aggregate_table.c.download_octets, aggregate_table.c.download_time]
        select_query = (query
                .column(func.sum(full_table.c.download_octets))
                .column(func.sum(full_table.c.download_time)))
        return insert_columns, select_query

    def build_query_to_report(self, query, aggregate_table):
        a = aggregate_table
        mean = func.sum(a.c.download_octets) / func.sum(a.c.download_time)
        is_safe = func.sum(a.c.download_time) > 0
        safe_mean = case([(is_safe, mean)], else_ = None)
        return query.column(label("download_avg", safe_mean))

class _MedianDownload(Statistic):
    label = "MedianDownload"

    @property
    def postgres_columns(self):
        return [Column('download_samples', ARRAY(Float))]

    def build_query_to_populate(self, query, full_table, aggregate_table):
        insert_columns = [aggregate_table.c.download_samples]
        mean = full_table.c.download_octets / full_table.c.download_time
        is_safe = and_(full_table.c.download_time > 0, full_table.c.download_flag == 't')
        safe_mean = case([(is_safe, mean)], else_ = None)
        select_query = (query.column(func.array_agg(safe_mean)))
        return insert_columns, select_query

    def build_query_to_report(self, query, aggregate_table):
        median = func.median(aggregate_table.c.download_samples)
        return query.column(label("download_median", median))

class _UploadCount(Statistic):
    label = "UploadCount"

    @property
    def postgres_columns(self):
        return [Column('upload_count', Integer)]

    def build_query_to_populate(self, query, full_table, aggregate_table):
        insert_columns = [aggregate_table.c.upload_count]
        tally = case([(full_table.c.download_flag == False, 1)], else_ = 0)
        select_query = query.column(func.sum(tally))
        return insert_columns, select_query

    def build_query_to_report(self, query, aggregate_table):
        a = aggregate_table
        return query.column(label("upload_count", func.sum(a.c.upload_count)))

class _AverageUpload(Statistic):
    label = "AverageUpload"

    @property
    def postgres_columns(self):
        return [Column('upload_octets', BigInteger), Column('upload_time', Float)]

    def build_query_to_populate(self, query, full_table, aggregate_table):
        insert_columns = [aggregate_table.c.upload_octets, aggregate_table.c.upload_time]
        select_query = (query
                .column(func.sum(full_table.c.upload_octets))
                .column(func.sum(full_table.c.upload_time)))
        return insert_columns, select_query

    def build_query_to_report(self, query, aggregate_table):
        a = aggregate_table
        mean = func.sum(a.c.upload_octets) / func.sum(a.c.upload_time)
        is_safe = func.sum(a.c.upload_time) > 0
        safe_mean = case([(is_safe, mean)], else_ = None)
        return query.column(label("upload_avg", safe_mean))

class _MedianUpload(Statistic):
    label = "MedianUpload"

    @property
    def postgres_columns(self):
        return [Column('upload_samples', ARRAY(Float))]

    def build_query_to_populate(self, query, full_table, aggregate_table):
        insert_columns = [aggregate_table.c.upload_samples]
        mean = full_table.c.upload_octets / full_table.c.upload_time
        is_safe = and_(full_table.c.upload_time > 0, full_table.c.download_flag == 'f')
        safe_mean = case([(is_safe, mean)], else_ = None)
        select_query = (query.column(func.array_agg(safe_mean)))
        return insert_columns, select_query

    def build_query_to_report(self, query, aggregate_table):
        median = func.median(aggregate_table.c.upload_samples)
        return query.column(label("upload_median", median))

class _DownloadMin(Statistic):
    label = "DownloadMin"

    @property
    def postgres_columns(self):
        return [Column('download_min', Integer)]

    def build_query_to_populate(self, query, full_table, aggregate_table):
        insert_columns = [aggregate_table.c.download_min]
        mean = full_table.c.download_octets / full_table.c.download_time
        is_safe = and_(full_table.c.download_time > 0, full_table.c.download_flag == 't')
        safe_mean = case([(is_safe, mean)], else_ = None)
        select_query = (query.column(func.min(safe_mean)))
        return insert_columns, select_query

    def build_query_to_report(self, query, aggregate_table):
        a = aggregate_table
        return query.column(label("download_min", func.min(a.c.download_min)))

class _DownloadMax(Statistic):
    label = "DownloadMax"

    @property
    def postgres_columns(self):
        return [Column('download_max', Integer)]

    def build_query_to_populate(self, query, full_table, aggregate_table):
        insert_columns = [aggregate_table.c.download_max]
        mean = full_table.c.download_octets / full_table.c.download_time
        is_safe = and_(full_table.c.download_time > 0, full_table.c.download_flag == 't')
        safe_mean = case([(is_safe, mean)], else_ = None)
        select_query = (query.column(func.max(safe_mean)))
        return insert_columns, select_query

    def build_query_to_report(self, query, aggregate_table):
        a = aggregate_table
        return query.column(label("download_max", func.max(a.c.download_max)))

class _UploadMin(Statistic):
    label = "UploadMin"

    @property
    def postgres_columns(self):
        return [Column('upload_min', Integer)]

    def build_query_to_populate(self, query, full_table, aggregate_table):
        insert_columns = [aggregate_table.c.upload_min]
        mean = full_table.c.upload_octets / full_table.c.upload_time
        is_safe = and_(full_table.c.upload_time > 0, full_table.c.download_flag == 'f')
        safe_mean = case([(is_safe, mean)], else_ = None)
        select_query = (query.column(func.min(safe_mean)))
        return insert_columns, select_query

    def build_query_to_report(self, query, aggregate_table):
        a = aggregate_table
        return query.column(label("upload_min", func.min(a.c.upload_min)))

class _UploadMax(Statistic):
    label = "UploadMax"

    @property
    def postgres_columns(self):
        return [Column('upload_max', Integer)]

    def build_query_to_populate(self, query, full_table, aggregate_table):
        insert_columns = [aggregate_table.c.upload_max]
        mean = full_table.c.upload_octets / full_table.c.upload_time
        is_safe = and_(full_table.c.upload_time > 0, full_table.c.download_flag == 'f')
        safe_mean = case([(is_safe, mean)], else_ = None)
        select_query = (query.column(func.max(safe_mean)))
        return insert_columns, select_query

    def build_query_to_report(self, query, aggregate_table):
        a = aggregate_table
        return query.column(label("upload_max", func.max(a.c.upload_max)))

AverageRTT = _AverageRTT()
MedianRTT = _MedianRTT()
DownloadCount = _DownloadCount()
AverageDownload = _AverageDownload()
MedianDownload = _MedianDownload()
UploadCount = _UploadCount()
AverageUpload = _AverageUpload()
MedianUpload = _MedianUpload()
DownloadMin = _DownloadMin()
DownloadMax = _DownloadMax()
UploadMin = _UploadMin()
UploadMax = _UploadMax()


text:
"San Tropez" (prow. San Tropetz) – utwór brytyjskiej formacji Pink Floyd, który znalazł się na ich płycie Meddle. Jest to jedyny utwór z płyty, który nie jest koprodukcją całego zespołu, a solowym dziełem Rogera Watersa.

Odznacza się jazzowym tempem, nawiązuje klimatem do utworów The Kinks i The Beatles.

Przez wiele osób utwór ten uważany jest za nieudany eksperyment, jednak zdaniem innych ma w sobie pewien urok.

Przypisy

Piosenki powstałe w roku 1971
Piosenki Pink Floyd

redpajama_set_name: RedPajamaWikipedia


Brain box. Self-acclaimed Cleverest Person In The World! Superior intelligence! Smug, some might say. He will always get full marks in a test!
Mounted premium personalised art print. 280gsm satin white media. Gentle off-white mount board. All FSC accredited materials. Proudly printed in the UK. For framed options your print will be framed in a matt white premium wooden frame with strut back and hook with a glass front.
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text:
Sam Allardyce
The ghost buster is ready to roll
Sunderland boss Mick McCarthy will implore his players to put the smiles back on the faces of Wearside's suffering supporters, insisting that their passion for football can help him to revitalise the Black Cats.
Evening Chronicle
Sign up to FREE daily email alerts from ChronicleLive - Sunderland AFC
The former Millwall manager will have a chance to make an instant impression on the Stadium of Light fans when he takes charge of the club for the first time against fellow strugglers Bolton on Saturday.
Home crowds dwindled during Howard Wilkinson's tumultuous tenure, with McCarthy left to pick up the pieces after a reign which ended after just five months with Sunderland anchored to the foot of the Premiership table.
And the 44-year-old - determined to quickly stamp his authority on the Black Cats - is keen to get the supporters on side as he attempts to spark a revival and secure top-flight survival. "When people come here on a Saturday, they don't come because they want to be miserable or unhappy," said McCarthy, who has become Sunderland's third manager of a season of struggle. "They want to enjoy themselves, just like the players want to enjoy themselves.
"It has been a difficult time for the players and the fans. Maybe the supporters are coming now with a slightly negative feeling, wondering what is going to happen.
"We need the fans to spark the players off. But, sometimes, it needs the players to spark the supporters off. They need a lift from the team, it is a joint thing.
"Don't forget, the players want to stay up. They want to play well, they want to win football matches and be able to walk down the street without hearing all the negatives.
"There's always pressure, whether you are bottom of the Football League or top of the Premier League. The fans always want you to do well. This is a big club and, with that, comes pressure and expectancy."
A sequence of six straight league defeats under Wilkinson has left Sunderland seven points behind Bolton in the Premiership table.
McCarthy will not have time to change much before the visit of Sam Allardyce's side on Saturday. But hard work is something the Yorkshireman will demand.
"I like good footballers," he said. "But you always will find that good footballers work a damn sight harder than those who are not so good. People say that Manchester United and Arsenal have the best players but they work their socks off as well.
"You can't become a great player at a great club unless you are prepared to work your socks off. If you can't do that you shouldn't be playing for a great club, you shouldn't be playing for Sunderland." McCarthy has signed a rolling contract at the Stadium of Light - at his own request. The Black Cats have paid a high price for sacking Wilkinson, Peter Reid and Steve Cotterill and, with a clause which allows either party to terminate a lucrative contract, it is hoped there will be no repeat of that.
"It is all about us showing a bit more commercial sense," said vice-chairman John Fickling last night. "There can be a lot of unusual things in contracts in football. This gives Mick confidence that we have got faith in him. It allows either party an opportunity to break, it's a statement that we want this long-term relationship to work."
McCarthy added: "The rolling contract was my idea. Changing managers is an expensive business for football clubs. There is an agreed clause in there. The club is happy and I am happy. I want to come here and be a success for years and years and years. It's unfortunate that when you come into a job you have to talk about the divorce before you have talked about the marriage. We haven't even got the nuptials out of the way yet."
Stadium of Light
Matt RitchieThe moment a fan was hit exactly where it hurts by a corner flag as Matt Ritchie's wild celebration goes wrongNewcastle United beat Chelsea 1-0 at St James' Park but there was still a painful moment for one fan
Newcastle United FCNewcastle United news and transfers RECAP: Lazaro latest as Magpies close in on dealsAll the latest Newcastle United transfer news after the Magpies defeated Chelsea
Newcastle United FC Transfer NewsSteve Bruce says Newcastle 'close' to January breakthrough as Steve Nickson gives Valentino Lazaro's agent stadium tourNewcastle United boss Steve Bruce is keen to bring in a winger and a left-back after Jetro Willems' injury
JoelintonSteve Bruce admits he is seeing a different Joelinton after striker ended his goal drought this weekNewcastle United beat Chelsea 1-0 thanks to Isaac Hayden's strike but it could have been even better had Joelinton's effort dipped under the bar
Newcastle United FCJoelinton's role in Newcastle's goal; Fernandez's boot and Agnew's warning - moments you missedThere was plenty going at St James' Park during United's 1-0 win over Chelsea
Allan Saint-MaximinAllan Saint-Maximin reveals his careful road back to fitness after hamstring hellNewcastle United crowd favourite marks his return to the big stage in real style
Sunderland AFCWill Grigg's warm-up and a bizarre booking for Lynden Gooch - Sunderland moments you missedSunderland recorded their third straight league win with victory over MK Dons

redpajama_set_name: RedPajamaCommonCrawl


Kelli came to CCAD's MFA program as a photographer, during her time in the program she shifted into animation and installation. I worked with Kelli specifically on mold making, characters, set design, timing and flow for her animated series "This is Tru". We also focused on installation look and feel for final show installation.


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text:
Home Energy and the Environment Private Utility Companies Keep Merging and Merging
Private Utility Companies Keep Merging and Merging
A reported deal between PPL and Avangrid would create an East Coast energy giant with over 13 million customers. That could be bad for ratepayers, and the climate.
by Alexander Sammon
Noah Berger/AP Photo
The threat from privately owned utilities was felt last week when a swath of Northern California endured blackouts at the hands of the state's largest investor-owned utility, PG&E.
The power seems to go out every so often in our largest cities these days. New York City experienced two blackouts over the summer during heat waves, and the Bay Area saw random, lengthy power outages to 2.5 million residents as a precaution against wildfires just last week. The commonality between these crises is that investor-owned utilities were behind them. These monopolies, driven by short-term financial pressures, resist equipment upgrades and maintenance, leading to a lack of preparedness during climate-fueled disasters like fires, hurricanes, and extreme heat. The Wall Street mentality of cutting corners has made our power systems dangerously unstable.
While spurned ratepayers, blackout victims, and environmental activists have joined a chorus of discontent on privately held utilities—flanked by presidential candidates Bernie Sanders and Elizabeth Warren, both of whom have featured public ownership of utilities as a plank of their Green New Deal proposals—private utilities themselves are charging ahead with even more corporate consolidation. The year 2019 has seen a spate of mergers within the industry, none larger than the proposed $67 billion merger between Connecticut-based Avangrid and Pennsylvania's PPL, reported on last Friday by the Financial Times.
The proposed merger between PPL and Avangrid, which is still being discussed by the two firms, would form one of the largest investor-owned utilities in the country. Avangrid, a multibillion-dollar firm based in Connecticut, provides gas or electricity to more than three million customers across New York and New England. The company is also a major player in the renewable-energy sector. It's the third-largest wind power provider in the country, and owns wind and solar farms across 22 U.S. states.
PPL, itself the product of the merger of eight electric companies across the state in 1920, was formerly known as Pennsylvania Power and Light. It's worth roughly $23 billion, with operations across Pennsylvania and Kentucky, as well as an electric distribution company in the U.K. It serves roughly ten million customers in total.
The PPL/Avangrid union, which would create an energy behemoth across the eastern United States, is far from the only major transaction in the utility industry this year, which has seen a rash of consolidation. In the Southeast, Dominion Energy acquired Scana for $14.6 billion, while NextEra Energy acquired Florida-based Gulf Power for $6.5 billion.
Those regional monopolies don't just serve millions of customers, they're also central players in developing new energy infrastructure, from pipelines to nuclear power projects. Meanwhile, the state of South Carolina is currently taking bids for its state-owned utility Santee Cooper from Duke Energy, NextEra Energy, and others.
[More from Alexander Sammon]
For anyone interested in a Green New Deal or climate resilience planning of any form, this wave of mergers should be particularly troubling. Some of these newly minted utility companies are among the largest producers of fossil fuel infrastructure. Dominion Energy, for example, is behind the highly controversial Atlantic Coast Pipeline. Avangrid and PPL, on the other hand, would become one of the largest players in the wind power industry, tethering wind's fate to a portfolio full of fossil fuels, and leaving an entire sector of the renewable-energy economy vulnerable to the whim of just one corporate board. That all means that just a handful of deep-pocketed companies, with the ability to convert those resources into outsize political power, will be able to exercise undue influence on the necessary changes to the national energy program, while holding millions of ratepayers hostage as bargaining chips.
In recent years, public power has been identified as a low-hanging-fruit–type solution to both environmental and energy justice. To meet even the mildest of decarbonization goals, a major overhaul of the American grid is going to be an utmost priority, as older fossil fuel infrastructure is swapped out for renewables. And even beyond the environmental necessity, public ownership could well prove to be a boon for consumer protection, as ratepayers have frequently been saddled with accelerating costs to cover for utility's mismanagement, as well as escalating executive salaries and returns to shareholders.
The poster child for this type of multitiered disaster is Pacific Gas and Electric, California's largest investor-owned utility. PG&E's lines were found to have played an essential role in sparking the deadly 2018 Camp Fire, the state's deadliest on record. Instead of investing the necessary funds in maintenance and tree trimming, PG&E was recently revealed to have paid executive bonuses and shareholder dividends. "This current operation is unacceptable," California Governor Gavin Newsom said Thursday. "The current conditions and circumstances are unacceptable."
Ahead of wildfire conditions last week in Northern California, PG&E saw no alternative but to shut down power to 2.5 million California residents. That decision left much of the region, from the state's northern border to the outskirts of Silicon Valley, blacked out for at least 48 hours starting last Wednesday. It took until Monday for power to be fully restored. The state of California was forced to open its emergency center normally saved for natural disasters, while PG&E's communications and computer systems faltered and its website crashed as customers tried to figure out whether they were indeed going to be in the blackout zone. One man died when power to his house shut off and he could no longer use the oxygen tank he relied on to breathe, though an autopsy refused to assign fault to PG&E.
The California Public Utilities Commission sanctioned PG&E over the length of the blackout, which was supposed to be only 12 hours, while the company is being forced into an emergency session with the regulator on Friday. Governor Newsom has (somewhat ludicrously) demanded PG&E pay a paltry $100 per person to those affected, with $250 for every small-business owner who lost power.
The debacle surfaced questions of whether rolling blackouts are going to become a routine event for Northern California's ratepayers, especially as climate change makes wildfires more frequent and intense. It's also added urgency to calls for municipalities, at either the local or state level, to transfer utilities to public ownership, as investor-owned groups seem unable to contend with the scale of the challenges posed by the climate crisis.
Predictably, PG&E has proven resistant to those calls for public ownership. The city of San Francisco recently made a $2.5 billion bid to take over the company's power lines within the municipal area (a cash offer that, given PG&E's ongoing bankruptcy hearings, one would think might be quite compelling), which the company rejected.
The growing push for public power is also part of the motivation for this wave of mergers. For Avangrid and PPL in particular, mounting political pressure in the U.K., where PPL is an asset holder, is part of the calculus. There, the Labour Party has also made nationalization of the country's electric grid a political priority, which would threaten the company's position.
The maneuvers toward consolidation can be read as preparation for a battle over the future of America's power, perhaps an attempt to make private utility behemoths "too big to fail." Of course, consolidation could also make the remaining companies easy targets for nationalization, especially as climate-related crises mandate public money for bailouts. If public power is key to mitigating a warming planet, the investor-owned utilities maybe shouldn't make themselves so ripe for public takeover.
corporate power Climate Crisis California electric utilities privatization wildfires
Alexander Sammon is a staff writer at The American Prospect.
Read more by Alexander Sammon


What will the world be like in 2012?
What will change in 2012? What will stay the same? Here are 12 presentations that take a look at where we've all been in 2011 and predict trends that we'll see in the coming year. Comment and share these presentations with your friends and colleagues. We'll check back in 12 months to see which of these predictions have come to fruition.
Ross Dawson takes a look at the global themes that affect every type of business, regardless of country.
75+ contributors share their thoughts about the relationship between brand and content, the evolution of blogging, the future of Google's influence, content marketing and distribution.
This in-depth analysis examines the effect of innovation on peoples' perceptions, they way people make purchases, the role of mobile devices and other trends that vary from country to country.


SINGAPORE - The Life Art Society donated more than $100,000 to the Straits Times School Pocket Money Fund (STSPMF) on Wednesday (Dec 26) after raising the money by selling original paintings by artists and novice painters.
About 100 went on sale at a charity exhibition at Wisma Atria in October, contributed by 36 artists and 18 novice painters who were selected from an ST Readers Rewards two-day Chinese brush painting workshop that was held in June.
Artist Tan Khim Ser, 75, conducted the workshop, which was part of the ST+ news with benefits programme for ST subscribers. The two-day course was worth $400, but participants paid only $50 for their painting kit from the Life Art Society, a non-profit organisation that aims to create greater awareness in local art and developing art talent.
Mr Tan started the Life Art Society 46 years ago and has taught thousands of amateur and aspiring artists, including former National Arts Council chief executive Lee Suan Hiang and former senior minister S. Jayakumar.
Mr Tan said in Mandarin: "We wanted to do something good for the country and society, and give back to needy families; but we also wanted to promote the art scene in Singapore. I think the ST workshop was a good start.
"The arts are very valuable - it is a form of emotional release when you are stressed, and it can even prevent dementia. Artists also laugh a lot."
The paintings were priced from $500 to $60,000, though only 43 paintings were sold. One of Mr Tan's paintings was sold for $30,000.
Business control manager Yang Shwn Fen, 48, a novice painter who attended the workshop and was selected to have her painting put up for sale, said: "I've been interested in painting since young but I didn't have a chance to learn, so I'm very grateful to ST for organising the workshop.
"My painting didn't get sold during the exhibition, but I really like painting. I'm now an official (paying) student of Mr Tan's."
Ms Tan Bee Heong, general manager of STSPMF said: "This is the first time a Chinese art society and ST readers came together to raise funds for our students from low-income families."
The STSPMF currently supports about 10,000 students from low-income families. The fund gives pocket money to students whose families earn less than $625 in per capita gross monthly household income.
"We are grateful for the efforts and the donations - especially during this festive season of giving," Ms Tan added.


Luigi Television can be lots of fun! Wizard101 also has lots of exciting Television features. Luigi has interesting Television features that have been very successful. This game gives players a unique experience with Television excitement. Luigi Television lets you experience Luigi in a whole new way. If you enjoy Luigi Television, we think you will also like Wizard101.


What are some things that are important about mexican futbol?
How many more futbol questions do you all think people will ask?
How do i play fantasy futbol mexicano in english? on yahoo?
What do you guys think of futbol picante?


text:
Three New eVTOLS Unveiled at Uber Elevate
by Mark Huber
- May 9, 2018, 2:04 PM
Embraer X's DreamMaker has a fuselage that doesn't stray far from that of a traditional helicopter, but the eVTOL is propelled through the air by eight electric motor-driven rotors and a tailfan. (Photo: Embraer)
A trio of airframers unveiled new electric vertical takeoff and landing (eVTOL) urban air taxi vehicles at the second-annual Uber Elevate summit, which was held this week in Los Angeles.
Embraer revealed the four-seat "DreamMaker" from its new Embraer X division, which is based in Melbourne, Florida, with innovation teams established in Silicon Valley and Boston. The DreamMaker's fuselage doesn't stray far from that of a traditional helicopter, but the eVTOL is propelled through the air by eight electric motor-driven rotors and a tailfan. "We are relentless in our quest for constant growth, and through Embraer X we will drive disruptive innovation and accelerate the creation of new businesses with the potential for exponential growth. Urban mobility is ripe for transformation and we are committed to having a major role in this key market," said Embraer CEO Paulo Cesar de Souza e Silva.
In addition, Karem Aircraft launched its quad-rotor Butterfly that features the company's "optimum speed rotor" technology. Karem CEO Ben Tigner said the variable-speed design delivers "higher inherent levels of safety and lower noise than other designs. Our large rotors let us draw less power from the batteries than vehicles with smaller rotors, enabling immediate economic viability without waiting for future batteries."
Slovenia-based Pipistrel took the wraps off a family of eVTOLs that use a bat-wing design with separate dedicated lift and tilt systems. "Nothing tilts," said Pipistrel's director of research and development Tine Tomazic, who provided few details other than that the new vehicles are "screaming fast." Tomazic said Pipistrel is partnering with recreational products company Elan to source the composites to build the vehicles.
Meanwhile, Uber said it is adding Los Angeles as a third test market for its Elevate network, joining Dallas and Dubai, and expects to start flying there by 2023.
https://www.ainonline.com/aviation-news/business-aviation/2018-05-09/three-new-evtols-unveiled-uber-elevate
Garmin GI 275 Solves Legacy Panel Problem


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text:
History of China and East Asia to the Ming Dynasty.
The Yuan dynasty's failed diplomacy with the Kamakura Shogunate of Japan led to the Mongol invasions of Japan, which also ended in failure for the Yuan Empire. Following the collapse of the Yuan dynasty and the formation of the Ming dynasty by the Hongwu Emperor in 1368, imperial Chinese power was projected abroad with the 15th-century Chinese treasure fleet of Admiral Zheng He.
Clothing in the Ming Dynasty brought a new perspective to traditional clothing. Each dynasty in China brought with it essential characteristics to Chinese culture. A lot of clothing influences developed throughout the era, and Ming Dynasty clothing are usually described by historians as magnificent and graceful at the same time. Women's Clothing Most women wore.
The Yongle Emperor thought that he would need other nations and civilizations as trading partners to allow the Ming Dynasty's reign to last and flourish. The Emperor that started it all. Emperor Zhu Di, was one of two emperors in the Ming Dynasty that was interested in the exploration of the world and trading. Allowing himself to be in charge with the Mongols up north and keeping them at bay.
Feb 7, 2020 - Ming Dynasty's Empress Headdress Phoenix Crown Fengguan. Saved from. View auction details, art exhibitions and online catalogues; bid, buy and collect contemporary, impressionist or modern art, old masters, jewellery, wine, watches, prints, rugs and books at sotheby's auction house. Peter Perapong The Palace Things. Traditional Chinese Chinese Style Asian Style The Witch.
Ming Tombs: Showcase of Ancient Chinese Funeral Architecture And Culture Forty-four kilometers northwest of Beijing proper lies the Ming Tombs, the general name given to the mausoleums of 13.
The severely weakened Ming Dynasty was desperately trying to hold on to power, while a rebel leader called Li Zicheng declared his own new dynasty after capturing the capital city of Beijing. In these dire circumstances, a Ming general decided to issue an invitation for the ethnic Manchus of north-eastern China to come to the country's aid, and retake the capital city.
Basically, the Ming incorporated the Song dynasty 's policy of relying on the literati in managing state affairs. The emperors of the Han Dynasty also supported and encouraged the development of art, science, technology, literature and religion. By the Ming period, Taoism and Buddhism had become poorly organized popular religions.
The focus of his study is the Ming dynasty's grand strategy against the Mongols (1368-1644). First Johnston examines ancient military texts as sources of Chinese strategic culture, using cognitive mapping, symbolic analysis and congruence tests to determine whether there is a consistent grand strategic preference ranking across texts that constitutes a single strategic culture. Then he applies.
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Ming dynastia, in 1641, a great epidemic started.
Ming Dynasty JSLP. Search this site. Home. The Black Death in Europe: Review. Ming Relations with Foreign Countries. Rise of the Ming Dynasty. The Voyages of Zheng He. Sitemap. Ming Relations with Foreign Countries. China's official trade policies in the 1500's reflected isolation. To keep the influence of outsiders to a minimum, only the government was to conduct foreign trade, and only.
The Ming dynasty's early emperors wanted to spread China's influence. By the late 1500s, however, China had limited its contact with the rest of the world. The Ming Dynasty How did Ming rulers bring peace and prosperity to China? After Kublai Khan died in A.D. 1294, a series of weak emperors came to the throne. Mongol power in China began to decline, and problems increased for the Yuan dynasty.
The Ming Dynasty's first emperor did not begin life destined for royalty, but he founded a glorious dynasty nonetheless.
Qing Dynasty emperors brought with them their own Manchu traditions and language but were quick to adopt Chinese art and culture to seal their legitimacy as Confucian-style rulers. Over the next century and a half, the Manchu Dynasty extended its rule in Central Asia, Tibet, and Siberia, reaching its height under the Qianlong Emperor in the eighteenth century. In the process it gave China a.
The reigns of the Hongzhi Emperor (r. 1488-1505) and the Zhengde Emperor (1506-1521) are the watershed of the Ming-dynasty's social and cultural changes at the turn of the sixteenth century. The stifling conservativeness gave way to dynamic innovation. A penchant for wealth replaced previous admiration for unsophisticated simplicity. Imperial porcelains from the two reigns share some.
China's Imperial Dynasties' Culture. STUDY. PLAY. Terms in this set (.) Trade flourished on the Silk Road in what dynasty? The Tang Dynasty. What kind of arts thrived and developed in the Tang Dynasty?-Poetry and literature boomed-Sophisticated figure paintings-Porcelain got discovered. What happened to horses and camels and in what dynasty? Horses and camels were revered and buried with.
COVID-19 Resources. Reliable information about the coronavirus (COVID-19) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this WorldCat.org search.OCLC's WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.
Culture Ming Dynasty's Shakespeare. 1. 2016-07-11 09:16 Shanghai Daily Editor: Huang Mingrui ECNS App Download. Sun Huogen's home in Fuzhou, Jiangxi Province, is a panoply of items related to.
Ming Dynasty, one of the very best restaurants in Albuquerque. The Ming Dynasty (1368-1644) was renowned as one of the greatest periods of governmental and societal stability in the history of mankind. At its peak, the Ming dynasty made China a global superpower, influencing the known world in trade, culture and might. During this dynasty.
Ming dynasty, Wade-Giles romanization Ming, Chinese dynasty that lasted from 1368 to 1644 and provided an interval of native Chinese rule between eras of Mongol and Manchu dominance, respectively. During the Ming period, China exerted immense cultural and political influence on East Asia and the Turks to the west, as well as on Vietnam and Myanmar to the south.


Nicci Haynes studied pharmacology in Wales in the mid 1980s and after a short career in research and then a much longer period of other adventures came to Australia and the ANU School of Art. Since graduating from the Printmedia and Drawing Workshop in 2007 she has been regularly exhibiting work in Australia and overseas. Her practice is varied although she describes it as based mostly around drawing. The work tends to merge across boundaries and includes books, mechanical gadgets, drawing on prints, print on drawings, hair and wire turning 2D work into sculptural objects, once aptly described as 'Nicci_s printhairies' in a magazine article.
Based in Canberra, she currently teaches etching at ANU, Megalo Print Studio with an occasional spell at NAS in Sydney.
It strikes me that the writer's challenge is the same as for any artist, which is how to get all this stuff, the raw data of our non-orderly first-hand experience of the world, into a material form. We tend to take it for granted that writing is up to the task but in fact what Joyce draws attention to in Finnegans Wake is to the shortcomings of writing. That the rigid permanence of language is fundamentally unsuited to the nature of reality accounts for the unusual capacities of the Wake's flexible lexicon.
My layered prints and drawings respond to the convoluted language of Finnegans Wake. Writing that leans towards confusion, disorder and disintegration finds visual analogy in my webs of fine wires and threads that resist containment and break free of their two-dimensional constraints to meander and tangle into strange formations.


CanEVER AUDIO® wants be a proposal for the music reproduction that first of all starts from the music itself. Seems a simple approach, a Columbus' egg, but it is really the key point. The priorities are timing, rhythmic integrity, tonal accuracy and dynamics, all facets that together make a master musician superior to a merely average performer. The technology comes after, it is at the service of the music reproduction and not vice versa.


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text:
The Fed Blows Up Biden's 0% Inflation Ruse
August 18, 2022 By E.J. Smith - Your Survival Guy
President Joe Biden delivers remarks on the drawdown of U.S. troops from Afghanistan, Thursday, July 8, 2021, in the East Room of the White House. (Official White House Photo by Hannah Foslien)
You may have heard Joe Biden touting "0% inflation" recently. He was making a big deal out of a month-to-month number no one normally talks about. His claims were confusing, and not given any context, and his press secretary refused to clarify them, even when asked to do so. The casual way the administration conflated these numbers to put themselves in a good light was alarming.
Meanwhile, when the Federal Reserve met last month, they were not as casual about inflation as Biden has been. The Daily Mail reports on the Fed's real concerns about price increases, writing:
Federal Reserve officials saw 'little evidence' late last month that US inflation is easing and predicted it would remain elevated for 'some time', newly released minutes from July's policy meeting show.
The minutes released on Wednesday showed policymakers committed to raising rates as high as necessary to bring inflation under control, and acknowledging that they would have accept lower economic growth for that to happen.
Inflation has been running hot and remained near a 40-year high at 8.5 percent in July, despite a rapid series of jumbo interest hikes that have taken the Fed's policy rate from near zero to 2.5 percent.
The minutes from the July 26 to 27 policy meeting did not hint at a particular pace of future interest rate increases for future meetings, including the next one scheduled for late September.
Fed policymakers noted in the minutes that lower growth could 'set the stage' for inflation to gradually fall to the central bank's two percent annual goal, though they acknowledged it remained 'far above' that target.
But the policymakers made clear that for now, they intend to continue raising rates enough to slow the economy.
Action Line: You can feel the inflation at your dinner table, and when you fill up your gas tank. Gas prices have come down, they say. Sure, but they're still much higher than they were before Bidenflation hit. Investors need to pay attention to the effects heightened inflation will have on their portfolio and their cost of living in retirement. If you need help building a plan for investing in a world of higher inflation, let's talk. If you want to get to know more about me in the meantime, click here to subscribe to my free monthly Survive & Thrive letter, and we'll weather this storm together.
P.S. Look at the chart below. Just because prices have come down slightly for gasoline is not a win for the Biden administration. Prices are still FAR higher than they were even in most of the Obama-era.
Will the Russian-Ukrainian War Go Nuclear?
BIDEN-FLATION: Here's Why Prices Are Up At Your Favorite Restaurant
Tom Brady Is Proof You Shouldn't Retire if You Still Love Your Work
PREPPING: You Don't Have to Save the World in a Weekend
Get Out the Map, Make a Plan, and MAKE IT HAPPEN
HELLO: "How's It Going? I Don't Know Anything"
The Masters of the Universe Align Themselves with CHINA Using YOUR Money?
Your Survival Guy at Fidelity and Your RMD Compliance
This State Leads America in Gun Ownership


text:
With the number of reported cases of the novel coronavirus on the rise in the U.S., the Federal Financial Institutions Examination Council late Friday issued guidance for banks on business continuity planning in the face of a pandemic.
Agencies Issue Pandemic Planning Guidance for Banks
on	 March 7, 2020 Compliance and Risk, Newsbytes
With the number of reported cases of the novel coronavirus on the rise in the U.S., the Federal Financial Institutions Examination Council late Friday issued guidance for banks on business continuity planning in the face of a pandemic. The agencies noted that plans should provide for a preventative program, a documented strategy scaled to the stages of a pandemic outbreak and a comprehensive framework to ensure the continuance of critical operation, a testing program and an oversight plan.
"Pandemic plans should be sufficiently flexible to effectively address a wide range of possible effects that could result from a pandemic," the guidance said. "[They] need to reflect the institution's size, complexity, and business activities."
ABA continues to urge its members to take proactive steps to ensure they are prepared for how coronavirus might affect customers, employees and daily operations. Bankers can stay up to date on the latest developments and resources from the Centers for Disease Control, World Health Organization and others on ABA's dedicated webpage, aba.com/coronavirus.
Coronavirus Disaster preparedness Risk management


Found within a super hard structure that cannot be drilled into, but reacts to vibrations; opening up like a flower to reveal the aberrant matter inside.
Caution: If the vibrations stop, the flower will start to permanently close. Once this happens it can only be opened with dynamite.
Glean Wiki is a FANDOM Games Community.


Manufacturers offer ENERGY STAR qualified IT equipment in a number of product categories. For more information, click on a product category below.
Please see revisions to existing ENERGY STAR product specifications. EPA is currently developing new specifications for other IT equipment, such as large networking equipment, to learn more go to the product development page.


text:
La maraude ou le maraudage est l'activité qui consiste à se procurer des produits alimentaires sur un lieu d'exploitation agricole sans en avoir l'autorisation de l'exploitant et sans contrepartie financière, matérielle ou de service. Cette activité généralement illégale et qui s'apparente au vol se distingue du glanage qui consiste à récupérer ce qui reste après la récolte et qui constitue un droit dans de nombreuses régions du monde.

Champ d'action
Typiquement, les fruits et légumes dans les champs et vergers sont concernés par la maraude mais dans certains cas, des sous-produits agricoles tel que le foin après moisson ou encore des arbres isolés comme les sapins avant les fêtes de fin d'année sont subtilisés. Dans des cas extrêmes, un champ entier peut être récolté à l'insu de son propriétaire.

Si la maraude reste une activité plus ou moins marginale dans les pays développés et se limite à la cueillette d'une poignée de denrée qui peut être consommée immédiatement, elle peut connaitre des épisodes de recrudescence lors de périodes économiquement plus difficiles pour les populations les plus précaires.

Histoire

Historiquement, selon les lieux et les époques, la maraude désigne pour les soldats en campagne militaire le droit plus ou moins encadré par la loi de se servir en victuailles dans les fermes qu'ils rencontrent. La limite est cependant floue entre maraudage, rapine et pillage.

Références

Annexes

Articles connexes
 Permis de maraude, une nouvelle de science-fiction
 Vol à l'étalage
 Grivèlerie
 Loi des épis

Liens externes

Vol (droit)
Agriculture


Amidst the present buying /Christmas menu -planning / card writing /etc etc I am playing with wool and felt and threads and fabric. You have to have balance, after all!
Spring Blossoms, Summer Holiday, Autumn Woodland, Winter Solstice. I had a rough idea which colours would match each season - poor old Winter Solstice remains a tad boring being merely reds and greens, but there you are. Then I thought I needed to expand upon this because I made a bangle in greys to go with my "Fifty Shades" outfit (I do wear a lot of grey, 'tis true.) And I wear a lot of blue so I wanted bangles in blue shades.... so I combined them and came up with Blue Lakes and Rocky Shores (I bet all you Girl Guides are singing along now, aren't you?) Then my gaze fell upon a particularly scrumptious hand-dyed wool-felt in purples/greens and I thought Heath and Moorland might be another nice colour way.
Excuse the poor colour, the light is bad, I'm a poor photographer and my camera also is very selective when it comes to accurate shade depiction. Also, I need to say that of course I will dip into other colours which pop up which seem to belong in a particular scheme; only I had about reached my toleration limit for faffing about sorting these out for you!
Then I was reading the deliciously colourful eye-candy blog Attic 24 and was gripped by Lucy's latest crochet project in her signature saturated colours and knew I had to make a bangle to match. The best match I could come up with in my colours was Summer Holiday, where I can indulge in all my brights, but somehow it begged to be called Carnival when I had made it.
I can't tell you how satisfying this one was to make. The wool felt is gorgeous - from Jean at Oliver Twists, really soft and wonderful to stitch. The perle 5 thread is 'confetti' from Weeks Dye works, and is an overdyed fibre which just SHOUTS carnival to me!
I think now I have dug a hole for myself - perhaps I should abandon the idea of colour schemes and just make bangles as the fancy takes me. But then, I do like the idea of being able to just gather felts/threads in specific colours when I start to work without all the deliberation each time. It is helpful. And to be honest, I just like giving things names. I love playing with words. What do you think? And what, apart from festive concerns, has been taxing your mind at the moment? Have you any spare time or mental capacity for anything else? See you soon -ish!
I love them all and your names too! To me Winter Solstice might be in ice blue/white and silver shades as well as red and green. Just make them as the fancy takes you I'd say and then name them afterwards why be tied to all the same colours every time?!!
Your bangles look so artistic and the color schemes are fantastic. Sometimes it can get overwelming to deal with so many colors butyou've done a good job.
Hello Kelly, thanks for visiting! Yes, I think this helps with organising my thoughts when I start a new bangle.
What a happy array of gorgeous colors and textures. I think your naming things is lovely and expressive. I finished the star-shaped batik table topper yesterday, wrapped it and immediately mailed it to my daughter in California so it would get there before Christmas. I completely forgot to get a photo of it. A senior moment.
Good Morning Lynne, As always, I am amazed at your needle work. You must have people asking about your bangles everywhere you go. They are so stunning. Your color schemes and layout photos are awesome. They look like a professional design studio layout and the names are grand. I think giving them names is quite unique and adds a little more whimsey to these fun accessories. It also shows your fun loving personality . . . great post!
Keep smiling and have a fabulous Christmas.
Just to wish you and the fisherman a Merry Christmas and all the best for 2014. I have enjoyed reading your blog, enjoyed being inspired by your creations and made one of my own. I look forward to more of the same in 2014, though as arthritis is now a problem in my hands, sadly there will have to be a lot less making and creating.


text:
Working Class History: Everyday Acts of Resistance and Rebellion
by Working Class History (Editors) - £16.99 PM Press (2020)
History is not made by kings, politicians, or a few rich individuals—it is made by all of us. From the temples of ancient Egypt to spacecraft orbiting Earth, workers and ordinary people everywhere have walked out, sat down, risen up, and fought back against exploitation, discrimination, colonization, and oppression.
Working Class History presents a distinct selection of people's history through hundreds of "on this day in history" anniversaries that are as diverse and international as the working class itself. Women, young people, people of color, workers, migrants, Indigenous people, LGBT+ people, disabled people, older people, the unemployed, home workers, and every other part of the working class have organized and taken action that has shaped our world, and improvements in living and working conditions have been won only by years of violent conflict and sacrifice.
These everyday acts of resistance and rebellion highlight just some of those who have struggled for a better world and provide lessons and inspiration for those of us fighting in the present. Going day by day, this book paints a picture of how and why the world came to be as it is, how some have tried to change it, and the lengths to which the rich and powerful have gone to maintain and increase their wealth and influence.
This handbook of grassroots movements, curated by the popular Working Class History project, features many hidden histories and untold stories, reinforced with inspiring images, further reading, and a foreword from legendary author and dissident Noam Chomsky.
(Price & availability last checked: November 2020)
Order Working Class History: Everyday Acts of Resistance and Rebellion
Working Class History: Everyday Acts of Resistance and Rebellion - by Working Class History (Editors)
by Working Class History (Editors)
Featured book: New Books - Politics & Activism,
In booklists: Working Class Lives, Art and Culture, Activism & Resistance,
In categories: History & Biography, Society, Welfare, Justice & the State, Politics & Philosophy, Changing the World, Anti-Capitalism & Global Inequality,


text:
Also Read: "The Village" Normalises The Idea Of Single Parenting In India
The author speaks to SheThePeople about her book, motherhood, parenting and much more.
Stay At Home Mum
Like many of us, Kara too decided to take a break from working full-time to raise her kids. She says, "Like many women, I felt judged both ways. When I was working, I felt judged for not prioritizing my children. When I was home, I felt judged for not reaching my potential. But the truth was that, more than anyone, I was the one judging myself."
I'm a mom with high hopes for how her sons will move through the world as men, and a willingness to embarrass herself to make sure they get the message.
As a mother, she felt that being at home allowed her to say yes to things like the library, field trips, school volunteering, music lessons, and after school sports practices. However, she emphasises, "We don't talk enough about how hard it is for families to access these opportunities when they don't have the means to have a parent at home during the day."
On the lows of staying at home, she says, "Let's just say there were plenty of days when I thought, "This is not what I imagined when I went to law school."
Home time with kids can make you feel bored. That doesn't mean that you love your kids less.
However, not a lot of mothers who feel comfortable talking about it. Kara urges, "YES, please. Let's all be honest about this! Because staying at home is such a privilege, we tend to keep quiet about how hard it can be, which has an isolating effect."
When I was working, I felt judged for not prioritizing my children. When I was home, I felt judged for not reaching my potential. But the truth was that, more than anyone, I was the one judging myself."
Conversations or Confrontations
As kids start growing up they hate taking "no" for an answer. So, when you are a parent can you always sort everything with conversations or confrontations also happen? She says, "I'd be lying if I said my parenting style was all conversation and no confrontation. Sometimes it's good for our kids to see how passionately we feel that something is right. Other times, a quiet conversation is much more effective. As parents, we have to keep trying to get our message across, over and over, in every way we can think of. When my sons were busy teens, they got a quick shout on the way out the door. "Breasts were not created for your amusement!" Now that they're grown, I'm sending them texts and Snapchats. Never give up!"
Also Read: Parenting Dilemma: What To Do When Your Child Uses 'Bad Words'
On having Feminist Parents
As the only woman in her household, she was absolutely determined to make sure her sons viewed women as equals. She adds, "Whether I succeeded, or whether they were positively influenced by their peers—I can't say. But I'm pretty sure the message got through somehow because now they call me out: 'Oh, I get it, Mom. You're all equal rights or whatever until you want someone to help you down a hill or get you a waffle.'"
There is no denying that kids today live their lives online, and a lot of social influencers that kids follow may be people who talk trash about women. Kara feels, "Our job is to know what they're taking in. We need to ask. We need to listen carefully to the answers. And we need to ask more questions: What you think of that? Why do you like that channel? Would it be funny to me? Would it be funny to your girlfriend?"
She adds, "One of the most difficult challenges in parenting teen boys is talking about humor that perpetuates stereotypes. Our sons may see a sexist rant and think it's hilarious satire, but they need to understand that there are limits to the 'just a joke' defense."
Talking about Consent
On how and when she approached the topic of 'consent' with your kids, Kara says, "At about the time they started taking very long showers, combing their hair, and socializing with co-ed groups. It was an embarrassing time for all of us, so I often relied on humor to break the tension and provide a way into important conversations."
Our sons may see a sexist rant and think it's hilarious satire, but they need to understand that there are limits to the 'just a joke' defense."
On BlackLivesMatter
In a time when Black Life Matter has reached every corner of America, we asked her how she is talking about it with her kids. She says, "This is an opportunity for not only my sons, but for me, to listen, learn, and truly take to heart the experience of Black people in America, so that we can use our privilege to make better decisions and move societal change in the right direction. My opinion is that we have a long way to go, so we'd better get moving."
"A good way to start a conversation with your teens might be by asking some questions to find out where they are in their learning and thinking. So often, our kids are less racist than we are, so be prepared to listen well," she adds.
Kara signs off by saying, "It's imperative for kids to understand their privilege. How else can we expect them to develop compassion for others and use their privilege for good? To whom much is given, much is expected."
authorschildren and parentingKara Kinney CartwrightmotherhoodWomen Writers


text:
Le quinzième gouvernement de Croatie () est le gouvernement de la république de Croatie depuis le , durant la  du Parlement.

Il est dirigé par le conservateur Andrej Plenković, à nouveau vainqueur des élections législatives à la majorité relative, et constitue un gouvernement minoritaire. Il succède .

Historique du mandat
Dirigé par le Premier ministre conservateur sortant Andrej Plenković, ce gouvernement est constitué et soutenu par une coalition de centre droit entre l'Union démocratique croate (HDZ) et le Parti démocratique indépendant serbe (SDSS). Ensemble, ils disposent de  sur 151, soit 43,7 % des sièges du Parlement. Il bénéficie du soutien sans participation du Parti populaire croate - Démocrates libéraux (HNS), du Parti populaire - Les Réformistes (NS-R) et des minorités nationales. Ensemble, ils disposent de  sur 151, soit 6,6 % des sièges du Parlement.

Il est formé à la suite des élections législatives anticipées du 5 juillet 2020.

Il succède donc au , constitué et soutenu par une coalition entre la HDZ et le HNS, et bénéficiant du soutien de plusieurs petits partis et des représentants des minorités.

Au cours du scrutin parlementaire, l'Union démocratique au pouvoir remporte une nette victoire en confortant sa majorité relative avec plus de , soit plus de  d'avance sur les sociaux-démocrates, alors que les sondages annonçaient un résultat serré. Le bon résultat du Mouvement patriotique de Miroslav Škoro (MPMŠ) ne lui permet pas de jouer les  en raison de l'avance enregistrée par la HDZ.

Dès le lendemain du scrutin, Andrej Plenković sécurise le soutien des deux partis libéraux, le Parti populaire croate et le Parti populaire - Les Réformistes, ainsi que des huit élus des minorités, soit un total de . Le , le président de la République Zoran Milanović charge le chef de l'exécutif sortant de la mission de constituer une nouvelle équipe gouvernementale. Présentant sa liste de   aux députés le , Plenković remporte le vote de confiance par  pour, soit l'exacte majorité absolue, et .

Composition

Initiale (22 juillet 2020)
 Les nouveaux ministres sont indiqués en gras, ceux ayant changé d'attributions en italique.

Remaniement du 29 avril 2022
 Les nouveaux ministres sont indiqués en gras, ceux ayant changé d'attributions en italique.

Notes et références

Annexes

Articles connexes
 Gouvernement de la République de Croatie ; Premier ministre de Croatie
 Andrej Plenković

15
2020 en Croatie
Croatie


First published in 1944, Magdalen King-Hall's Life and Death of the Wicked Lady Skelton is a historical novel set in late-seventeenth-century England. It tells the story of Barbara Skelton, a well-born young woman trapped in a loveless marriage, who finds escape from the tedium of her life by leading a double life as a highway robber.
Rich in historical detail and high on melodrama, the novel follows Barbara's infamous career of robbery, adultery and murder, without painting her entirely as a monster. Indeed, the novel's status as a best-seller owes much to King-Hall's sympathetic depiction of the frustrations of domestic life for an ambitious, intelligent woman with no means of self-expression.
The book was inspired by the legend of Katherine Ferrers, who reputedly terrorised the highways of the county of Hertfordshire during the 1650s.
In turn, King-Hall's novel was itself quickly adapted into the classic British film The Wicked Lady, produced by Gainsborough Studios in 1945, starring Margaret Lockwood, Patricia Roc and James Mason.
In his critical introduction to this new edition of Life and Death of the Wicked Lady Skelton, Rowland Hughes relates the novel to the legend, and to the popularity of women's historical fiction in the 1940s. He explains the success of both novel and film by considering how a story of female empowerment, sexual promiscuity and cross-dressing spoke powerfully to a contemporary audience just emerging from the Second World War.
Rowland Hughes is a Principal Lecturer in English Literature and American Studies at the University of Hertfordshire. He has previously published work on American Literature, and on British and American film.


text:
Britney Spears Gets Super Real About Her Experience on Carpool Karaoke
She said it was a bit "awkward."
By Laura Beck
YouTube/CBS
Do you remember where you were when Britney Spears was on Carpool Karaoke with James Corden? Yeah, me too. Last Thursday was so great.
However, Brit says the historical day wasn't just laughter and unicorn kisses and slaying at "Toxic," while cruising around Los Angeles, it was also a little bit strange. Speaking to KTU 103.5 FM's Cubby & Carolina Bermudez, the superstar got super real about the realities of filming in car while driving all over town.
"It was a little awkward, like, driving by grocery stores," she said. "People walk by and there are like 18 cameras around us. This is just so awkward."
She also shared that host James Corden — whom donned a school girl outfit and blonde wig for the segment — played two of the songs that she's kinda tired of hearing: "Baby One More Time" and "Oops!... I Did It Again."
"Oh, my God, and he kept playing them," she said. "He put a wig on for it. Yeah, I totally went along with it."
Overall, though, Our Queen Bit-Bit had an amazing time, and said that James is an adorable stuffed animal and she just wants to cuddle him.
"'The guy was incredibly sweet. I had no idea he has kids, he's a teddy bear. I was like, 'I just want to hug you right now.'"
Awww! I would watch a show that just involved Britney Spears cuddling cute chubby people. And then maybe trying snack foods from other countries and rating them. Get on it, NBC!
And hey, while we're here, let's just watch her Carpool Karaoke one more time because it's actual heaven:
Follow Laura on Twitter.
Laura Beck Laura Beck is a Los Angeles-based TV writer and frequent contributor to Cosmopolitan.com — her work has appeared in the New York Times, New Yorker, Jezebel, and the Village Voice.
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Get ready for one of the most dynamic, action-packed films of the year! Directed by famed action choreographer Cory Yuen (The Transporter, Jet Li's The Enforcer), So Close is a thrill-a-minute shootout, with lightning-quick action sequences and great performances by Shu Qi (The Transporter), Zhao Wei (Shaolin Soccer) and Karen Mok (Black Mask). When a gang of assassins murders their parents, two sisters inherit the family business - a state-of-the-art computer surveillance system. Armed with the ability to see around corners and disappear into thin air, the sisters become the most accomplished killers-for-hire in Hong Kong. But when the sisters fulfill a contract and take out a wealthy computer magnate, a beautiful undercover detective is suddenly hot on their tail. Now - loyalties are tested, alliances are questioned and survival becomes the extremist sport of all. With some of the best action scenes to appear on film this year, So Close is a high-octane hit!
Critics Consensus: This HK actioner oozes with style.
Contains some clever set-pieces, mostly involving a Cyrano-type communication between the sisters.


text:
Double trio
On being a loudmouth
ga('create', 'UA-51196145-1', 'timstevens.com.au'); ga('send', 'pageview');
The Bell Awards are coming around again. One is encouraged by one's EP to enter, being eligible and all that. One put an album out in the last twelve months that was quite well received by those who received it, and one could enter it in competition if one were so disposed.
I haven't hesitated in the past to say what I thought of certain awards, and in particular, the ARIA Award for the Best Jazz Album of any given year. The Bells are a little different, primarily because they're devoted only to jazz, but still the troubling questions of how one album or artist is compared with others in order to determine a 'best', and so forth, are liable to be asked. The festive dinner at which a big show is made for something very few people actually care about is no more attractive than it ever was. It seems to misrepresent what the scene is actually like. It's a simulacrum of enthusiasm and mass appeal. It seems fake. One says, 'yuck.'
A little while ago there was this website called Ozjazzforum. I mean it's still there, but activity has dwindled to nothing in recent times so now it exists more as an historical document. This means, in the context of Australian jazz, that probably no-one ever will pay it any more attention than it's already received. So it goes. OJF was the host to much loudmouthery in its day, and quite a bit of nonsense. Noms de plume were rife, and anonymity assured freedom of speech, so ratbags could talk crap till the sun went down, came back up again, and so on. All of which makes it sound as though I considered myself non-ratbag, just because I used my own name. But, you know, there's the rub.
Here's me talking about awards in Australian improvised music. Specifically, the ARIA award, which still seems to me to be stunningly undistinguished. My complaints about the ARIA were pretty simple, and concerned the tokenism of its existence, the anonymity of the judges, the lack of any transparent terms of reference or judging process, and so on. Never did I actually take issue publicly with any of the decisions made, no matter what I thought privately, and no matter what jec said*, I was not at all bagging the people who had been fortunate enough to win.
The scene is such that small things happen and they seem really big. Can anyone recall the winners of the last five ARIA Awards for jazz albums? I can think of Sarah McKenzie and Elixir, but that's it. I think they were the last two, but I could be wrong. I'm not going to check. Anything before that is cloudy. The Necks have won a few, and Paul Grabowsky too, and I know that Andrew Speight won one in the late 1990s because the second Browne – Haywood – Stevens album, Sudden in a Shaft of Sunlight, was up against his record and lost. That was in the days when the jazz award was conferred in the same ceremony as the big, important ones, and I sat through the whole thing! It was also the evening that Natalie Imbruglia was reported to have got together with Daniel Johns. (I saw them both there, though not together.)
An exchange concerning my having won the APRA Professional Development Award in 2011 is not absolutely without relevance. The mysterious 'EST fan', 'Herbie' and 'Estbjorn' (aka 'Estjborn') all combine, as it were, to have a go at me for trashing the ARIA Award and being able to enter, nay win, the APRA PDA. What's to distinguish one award from another? Might we one day see a category somewhere devoted to 'best award'? (Joke.)
Then there's the invitation I received a couple of years ago to be a judge for the Bells. My name '[had come] up in a discussion for possible inclusion in our jury panel' and so forth. I said no, quickly and decisively, and took the opportunity to mention that I thought the awards 'entirely without merit', although I did offer thanks for having been considered.
I held forth because I had a point of view. It probably didn't matter in the slightest, and it has made absolutely no difference, but I felt at liberty to voice it. I do still wish more attention were paid to the variety of Australian improvised music, and not necessarily in the form of handing out prizes. Would that it were part of an ongoing conversation about what's possible, that what has been achieved so far were valued and celebrated via its inclusion in the lives of a few dozen more people. Would that musicians such as have contributed at length to the improvised music of this country were known about and discussed as are the nation's authors, painters, actors. Perhaps their music might even be part of some tertiary curriculum somewhere, worked into a wide-ranging investigation of the jazz diaspora.
I've always talked too much, but if nothing else I can say I consider it important to be honest. Own thee thy loude mouthe. If people laugh, give them a damn' good reason. If I enter Life's undertow in the Bells this year, it'll be because victory brings with it a booty of $5000.00. I expect only to be laughed at, and I've earned that laughter. I need to wear it.
And while the possibility for laughter is in the air: I have given up drinking. I have been fighting alcohol for ages, and losing, and they say that if you tell people you're planning to do something then 1: you may be a loudmouth, but 2: it's that much more likely to happen. So I'm putting it out there. Get your screen shots now, folks, so that when this post disappears or is mysteriously abbreviated and it looks like I'm back on the turps, you can email them to me and shame me.
* This post is not under jec's own name but it's my suspicion he wrote it. If he didn't, it ties in neatly enough with what he appears to think, so I hope my mistake can be forgiven.
29/i/2013
Auto-analysis (9)
Browne – Haywood – Stevens (4)
Composition (10)
Double trio (4)
Improvisation (12)
Salutations (1)
The Red Onion Jazz Band (3)
Trio repertoire (3)
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More and more I find myself talking about weird weather. This month there have been extraordinary scenes from Venice where water covered St Mark's Square and flooded churches and other historic buildings. Closer to home, parts of the north of England are looking more like an inland lake with water sitting on fields and, tragically, in people's homes.
Elsewhere conversations revolve not about the high levels of rainfall but the lack of it. Namibia for example is experiencing a succession of droughts which has already lasted up to 7 years in some areas. Harrowing images of animal corpses show the plight of herds of livestock and roaming wild animals. Half a million people are reported to be without adequate food. That's 20% of the country's population at risk of famine.
There are press reports that native animals in the country's national parks are being transported to reserves in other parts of Africa as there is simply not enough natural vegetation to support them. So elephants, buffalo and giraffe are on the move, not through natural migration but a programme of weather enforced transportation. Noah's ark springs to mind but the irony is that these animals are being saved not from water, but from the lack of it.
I saw some of the evidence of this natural disaster when I visited Namibia earlier this month, prospecting for sand dams. Excellent Development has been asked to look at the potential for sand dams to help natural vegetation recover and support livestock and populations of wild animals when the rain just doesn't fall. Too late for the herds of springbok and oryx this year, but it could really help in years to come.
On a more optimistic note, all of us in the Excellent office are counting down the days to our Big Christmas Challenge. All donations made between 3-10 December will go towards helping farmers grow crops on land which, without a sand dam, could not be used for agriculture. A gift from you could make all the difference to people in places where the weather is leaving people hungry and vulnerable.
Want to donate towards a sand dam and have your donations doubled for free? Check out our Big Give Christmas Challenge!