Python operator.__and__方法代碼示例

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __and__ [as 別名]
def __and__(self, other):                                       
        '''
        Take a bitwise 'AND' of the bit vector on which the method is invoked with
        the argument bit vector.  Return the result as a new bit vector.  If the two
        bit vectors are not of the same size, pad the shorter one with zeros from the
        left.
        '''      
        if self.size < other.size:                                  
            bv1 = self._resize_pad_from_left(other.size - self.size)
            bv2 = other                                             
        elif self.size > other.size:                                
            bv1 = self                                              
            bv2 = other._resize_pad_from_left(self.size - other.size)
        else:                                                        
            bv1 = self                                               
            bv2 = other                                             
        res = BitVector( size = bv1.size )                          
        lpb = map(operator.__and__, bv1.vector, bv2.vector)         
        res.vector = array.array( 'H', lpb )                        
        return res 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __and__ [as 別名]
def shift_right_by_one(self):                                    
        '''
        For a one-bit in-place right non-circular shift.  Note that bitvector size
        does not change.  The rightmost bit that moves past the last element of the
        bitvector is discarded and leftmost bit of the returned vector is set to
        zero.
        '''
        size = len(self.vector)                                      
        right_most_bits = list(map( operator.__and__, self.vector, [0x8000]*size ))         
        self.vector = list(map( operator.__and__, self.vector, [~0x8000]*size )) 
        right_most_bits.insert(0, 0)                                 
        right_most_bits.pop()                                        
        self.vector = list(map(operator.__lshift__, self.vector, [1]*size))    
        self.vector = list(map( operator.__or__, self.vector, \
                                   list(map(operator.__rshift__,right_most_bits, [15]*size))))
        self._setbit(0, 0) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __and__ [as 別名]
def __init__(self):
        Backend.__init__(self)
        # self._make_raw_ops(set(expression_operations) - set(expression_set_operations), op_module=BackendVSA)
        self._make_expr_ops(set(expression_set_operations), op_class=self)
        self._make_raw_ops(set(backend_operations_vsa_compliant), op_module=BackendVSA)

        self._op_raw['StridedInterval'] = BackendVSA.CreateStridedInterval
        self._op_raw['ValueSet'] = ValueSet.__init__
        self._op_raw['AbstractLocation'] = AbstractLocation.__init__
        self._op_raw['Reverse'] = BackendVSA.Reverse
        self._op_raw['If'] = self.If
        self._op_expr['BVV'] = self.BVV
        self._op_expr['BoolV'] = self.BoolV
        self._op_expr['BVS'] = self.BVS

        # reduceable
        self._op_raw['__add__'] = self._op_add
        self._op_raw['__sub__'] = self._op_sub
        self._op_raw['__mul__'] = self._op_mul
        self._op_raw['__or__'] = self._op_or
        self._op_raw['__xor__'] = self._op_xor
        self._op_raw['__and__'] = self._op_and
        self._op_raw['__mod__'] = self._op_mod 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __and__ [as 別名]
def do_finalize(self):
        if self.tx_signals:
            for tx_sig in self.tx_signals:
                self.comb += [
                    # TX
                    tx_sig.eq(self.tx),
                ]

        if self.rx_signals:
            self.comb += [
                # RX
                self.rx.eq(reduce(operator.__and__, self.rx_signals))
            ]


# FIXME: Add a test for the shared UART 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __and__ [as 別名]
def circular_rotate_left_by_one(self):                         
        'For a one-bit in-place left circular shift'
        size = len(self.vector)                                    
        bitstring_leftmost_bit = self.vector[0] & 1                
        left_most_bits = list(map(operator.__and__, self.vector, [1]*size)) 
        left_most_bits.append(left_most_bits[0])                   
        del(left_most_bits[0])                                     
        self.vector = list(map(operator.__rshift__, self.vector, [1]*size)) 
        self.vector = list(map( operator.__or__, self.vector, \
                              list( map(operator.__lshift__, left_most_bits, [15]*size) )))   
                                                                   
        self._setbit(self.size -1, bitstring_leftmost_bit) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __and__ [as 別名]
def circular_rotate_right_by_one(self):                        
        'For a one-bit in-place right circular shift'
        size = len(self.vector)                                    
        bitstring_rightmost_bit = self[self.size - 1]              
        right_most_bits = list(map( operator.__and__,
                               self.vector, [0x8000]*size ))       
        self.vector = list(map( operator.__and__, self.vector, [~0x8000]*size ))
        right_most_bits.insert(0, bitstring_rightmost_bit)         
        right_most_bits.pop()                                      
        self.vector = list(map(operator.__lshift__, self.vector, [1]*size))
        self.vector = list(map( operator.__or__, self.vector, \
                                list(map(operator.__rshift__, right_most_bits, [15]*size))))  
                                                                   
        self._setbit(0, bitstring_rightmost_bit) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __and__ [as 別名]
def shift_left_by_one(self):                                
        '''
        For a one-bit in-place left non-circular shift.  Note that bitvector size
        does not change.  The leftmost bit that moves past the first element of the
        bitvector is discarded and rightmost bit of the returned vector is set to
        zero.
        '''
        size = len(self.vector)                                 
        left_most_bits = list(map(operator.__and__, self.vector, [1]*size))  
        left_most_bits.append(left_most_bits[0])                    
        del(left_most_bits[0])                                      
        self.vector = list(map(operator.__rshift__, self.vector, [1]*size)) 
        self.vector = list(map( operator.__or__, self.vector, \
                               list(map(operator.__lshift__, left_most_bits, [15]*size))))
        self._setbit(self.size -1, 0) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __and__ [as 別名]
def do_compute(self):
        def filter_df(df):
            se = pd.Series(index=df.index)
            for index, row in df.iterrows():

                if row.report_period == 'year':
                    mul = 4
                elif row.report_period == 'season3':
                    mul = 3
                elif row.report_period == 'half_year':
                    mul = 2
                else:
                    mul = 1

                filters = []
                for col in self.col_period_threshold:
                    col_se = eval(f'row.{col}')
                    filters.append(col_se >= mul * self.col_period_threshold[col])
                se[index] = list(accumulate(filters, func=operator.__and__))[-1]

            return se

        if self.col_period_threshold:
            self.factor_df = self.data_df.loc[lambda df: filter_df(df), :]

        self.factor_df = pd.DataFrame(index=self.data_df.index, columns=['count'], data=1)

        self.factor_df = self.factor_df.reset_index(level=1)

        self.factor_df = self.factor_df.groupby(level=0).rolling(window=self.window, on=self.time_field).count()

        self.factor_df = self.factor_df.reset_index(level=0, drop=True)
        self.factor_df = self.factor_df.set_index(self.time_field, append=True)

        self.factor_df = self.factor_df.loc[(slice(None), slice(self.start_timestamp, self.end_timestamp)), :]

        self.logger.info('factor:{},factor_df:\n{}'.format(self.factor_name, self.factor_df))

        self.result_df = self.factor_df.apply(lambda x: x >= self.count)

        self.logger.info('factor:{},result_df:\n{}'.format(self.factor_name, self.result_df)) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __and__ [as 別名]
def run(self):
        """

        """
        if self.filter_factors:
            musts = []
            for factor in self.filter_factors:
                df = factor.result_df

                if not pd_is_not_null(df):
                    raise Exception('no data for factor:{},{}'.format(factor.factor_name, factor))

                if len(df.columns) > 1:
                    s = df.agg("and", axis="columns")
                    s.name = 'score'
                    musts.append(s.to_frame(name='score'))
                else:
                    df.columns = ['score']
                    musts.append(df)

            self.filter_result = list(accumulate(musts, func=operator.__and__))[-1]

        if self.score_factors:
            scores = []
            for factor in self.score_factors:
                df = factor.result_df
                if not pd_is_not_null(df):
                    raise Exception('no data for factor:{},{}'.format(factor.factor_name, factor))

                if len(df.columns) > 1:
                    s = df.agg("mean", axis="columns")
                    s.name = 'score'
                    scores.append(s.to_frame(name='score'))
                else:
                    df.columns = ['score']
                    scores.append(df)
            self.score_result = list(accumulate(scores, func=operator.__add__))[-1]

        self.generate_targets() 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __and__ [as 別名]
def all(items):
        return reduce(operator.__and__, items)

# --- test if interpreter supports yield keyword --- 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __and__ [as 別名]
def _op_and(*args):
        return reduce(operator.__and__, args) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __and__ [as 別名]
def And(a, *args):
        return reduce(operator.__and__, args, a) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __and__ [as 別名]
def fromParams(method, num_regs):
    isstatic = method.access & flags.ACC_STATIC
    full_ptypes = method.id.getSpacedParamTypes(isstatic)
    offset = num_regs - len(full_ptypes)

    prims = TreeList(scalars.INVALID, operator.__and__)
    arrs = TreeList(arrays.INVALID, arrays.merge)
    tainted = TreeList(False, operator.__or__)

    for i, desc in enumerate(full_ptypes):
        if desc is not None:
            prims[offset + i] = scalars.fromDesc(desc)
            arrs[offset + i] = arrays.fromDesc(desc)
    return TypeInfo(prims, arrs, tainted) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __and__ [as 別名]
def propagateAnd(x, y):
    return propagateBitwise(x, y, operator.__and__, False, True) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __and__ [as 別名]
def all(items):
        return reduce(operator.__and__, items)