parent
a81fd176e9
commit
70d7167c1e
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from engine.ast import ColRef, TableInfo, ast_node, Context, include
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from engine.groupby import groupby
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from engine.join import join
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from engine.expr import expr
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from engine.orderby import orderby
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from engine.scan import filter
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from engine.utils import base62uuid, enlist, base62alp
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from engine.ddl import create_table, outfile
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import copy
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class projection(ast_node):
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name='select'
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def __init__(self, parent:ast_node, node, context:Context = None, outname = None, disp = True):
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self.disp = disp
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self.outname = outname
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self.group_node = None
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self.assumption = None
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self.where = None
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ast_node.__init__(self, parent, node, context)
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def init(self, _):
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if self.outname is None:
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self.outname = self.context.gen_tmptable()
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def produce(self, node):
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p = node['select']
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self.projections = p if type(p) is list else [p]
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print(node)
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def spawn(self, node):
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self.datasource = None
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if 'from' in node:
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from_clause = node['from']
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if type(from_clause) is list:
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# from joins
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join(self, from_clause)
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elif type(from_clause) is dict:
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if 'value' in from_clause:
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value = from_clause['value']
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if type(value) is dict:
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if 'select' in value:
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# from subquery
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projection(self, from_clause, disp = False)
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else:
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# TODO: from func over table
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print(f'from func over table{node}')
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elif type(value) is str:
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self.datasource = self.context.tables_byname[value]
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if 'assumptions' in from_clause:
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self.assumption = orderby(self, enlist(from_clause['assumptions']))
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elif type(from_clause) is str:
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self.datasource = self.context.tables_byname[from_clause]
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if self.datasource is None:
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raise ValueError('spawn error: from clause')
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if self.datasource is not None:
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self.datasource_changed = True
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self.prev_datasource = self.context.datasource
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self.context.datasource = self.datasource
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if 'where' in node:
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self.where = filter(self, node['where'], True)
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# self.datasource = filter(self, node['where'], True).output
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#self.context.datasource = self.datasource
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if 'groupby' in node:
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self.group_node = groupby(self, node['groupby'])
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self.datasource = copy.copy(self.datasource) # shallow copy
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self.datasource.groupinfo = self.group_node
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else:
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self.group_node = None
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def consume(self, node):
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self.inv = True
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disp_varname = 'd'+base62uuid(7)
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has_groupby = False
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if self.group_node is not None:
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# There is group by;
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has_groupby = True
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cexprs = []
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flatten = False
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cols = []
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self.out_table = TableInfo('out_'+base62uuid(4), [], self.context)
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if 'outfile' in node:
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flatten = True
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new_names = []
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for i, proj in enumerate(self.projections):
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cname = ''
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compound = False
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self.datasource.rec = set()
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if type(proj) is dict:
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if 'value' in proj:
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e = proj['value']
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sname = expr(self, e)._expr
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fname = expr.toCExpr(sname) # fastest access method at innermost context
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absname = expr(self, e, abs_col=True)._expr # absolute name at function scope
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compound = True
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cexprs.append(fname)
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cname = e if type(e) is str else ''.join([a if a in base62alp else '' for a in expr.toCExpr(absname)()])
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if 'name' in proj: # renaming column by AS keyword
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cname = proj['name']
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new_names.append(cname)
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elif type(proj) is str:
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col = self.datasource.get_col_d(proj)
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if type(col) is ColRef:
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col.reference()
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compound = compound and has_groupby and self.datasource.rec not in self.group_node.referenced
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self.datasource.rec = None
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cols.append(ColRef(cname, expr.toCExpr(f'decays<decltype({absname})>')(0), self.out_table, 0, None, cname, i, compound=compound))
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self.out_table.add_cols(cols, False)
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if has_groupby:
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create_table(self, self.out_table)
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self.group_node.finalize(cexprs, self.out_table)
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else:
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create_table(self, self.out_table, cexpr = cexprs)
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self.datasource.group_node = None
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if self.where is not None:
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self.where.finalize()
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has_orderby = 'orderby' in node
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if has_orderby:
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self.datasource = self.out_table
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self.context.datasource = self.out_table # discard current ds
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orderby_node = orderby(self, node['orderby'])
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self.emit(f'auto {disp_varname} ={self.out_table.reference()}->order_by_view<{",".join([f"{c}" for c in orderby_node.col_list])}>();')
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else:
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disp_varname = f'*{self.out_table.cxt_name}'
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if self.disp:
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self.emit(f'print({disp_varname});')
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if flatten:
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if len(self.projections) > 1 and not self.inv:
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self.emit(f"{disp_varname}:+{disp_varname}")
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outfile(self, node['outfile'])
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if self.datasource_changed:
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self.context.datasource = self.prev_datasource
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import sys
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include(sys.modules[__name__])
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@ -0,0 +1,90 @@
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<Project DefaultTargets="Build" xmlns="http://schemas.microsoft.com/developer/msbuild/2003" ToolsVersion="4.0">
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<PropertyGroup>
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<Configuration Condition=" '$(Configuration)' == '' ">Debug</Configuration>
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<SchemaVersion>2.0</SchemaVersion>
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<ProjectGuid>ccc243f5-663e-45b7-a6de-b2468c58b3a7</ProjectGuid>
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<ProjectHome>.</ProjectHome>
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<StartupFile>
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</StartupFile>
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<SearchPath>..\msvs-py</SearchPath>
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<WorkingDirectory>.</WorkingDirectory>
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<OutputPath>.</OutputPath>
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<Name>msvs-py</Name>
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<RootNamespace>msvs-py</RootNamespace>
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</PropertyGroup>
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<PropertyGroup Condition=" '$(Configuration)' == 'Debug' ">
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<DebugSymbols>true</DebugSymbols>
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<EnableUnmanagedDebugging>false</EnableUnmanagedDebugging>
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</PropertyGroup>
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<PropertyGroup Condition=" '$(Configuration)' == 'Release' ">
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<DebugSymbols>true</DebugSymbols>
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<EnableUnmanagedDebugging>false</EnableUnmanagedDebugging>
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</PropertyGroup>
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<ItemGroup>
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<Folder Include="aquery_parser\" />
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<Folder Include="aquery_parser\__pycache__\" />
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<Folder Include="engine\" />
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<Folder Include="engine\__pycache__\" />
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</ItemGroup>
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<ItemGroup>
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<Compile Include="aquery_parser\keywords.py" />
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<Compile Include="aquery_parser\sql_parser.py" />
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<Compile Include="aquery_parser\types.py" />
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<Compile Include="aquery_parser\utils.py" />
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<Compile Include="aquery_parser\windows.py" />
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<Compile Include="aquery_parser\__init__.py" />
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<Compile Include="engine\ast.py" />
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<Compile Include="engine\ddl.py" />
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<Compile Include="engine\expr.py" />
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<Compile Include="engine\groupby.py" />
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<Compile Include="engine\join.py" />
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<Compile Include="engine\orderby.py" />
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<Compile Include="engine\projection.py" />
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<Compile Include="engine\scan.py" />
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<Compile Include="engine\types.py" />
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<Compile Include="engine\utils.py" />
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<Compile Include="engine\__init__.py" />
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<Compile Include="prompt.py" />
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</ItemGroup>
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<ItemGroup>
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<Content Include="aquery_parser\__pycache__\keywords.cpython-310.pyc" />
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<Content Include="aquery_parser\__pycache__\keywords.cpython-39.pyc" />
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<Content Include="aquery_parser\__pycache__\sql_parser.cpython-310.pyc" />
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<Content Include="aquery_parser\__pycache__\sql_parser.cpython-39.pyc" />
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<Content Include="aquery_parser\__pycache__\types.cpython-310.pyc" />
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<Content Include="aquery_parser\__pycache__\types.cpython-39.pyc" />
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<Content Include="aquery_parser\__pycache__\utils.cpython-310.pyc" />
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<Content Include="aquery_parser\__pycache__\utils.cpython-39.pyc" />
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<Content Include="aquery_parser\__pycache__\windows.cpython-310.pyc" />
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<Content Include="aquery_parser\__pycache__\windows.cpython-39.pyc" />
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<Content Include="aquery_parser\__pycache__\__init__.cpython-310.pyc" />
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<Content Include="aquery_parser\__pycache__\__init__.cpython-39.pyc" />
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<Content Include="engine\__pycache__\ast.cpython-310.pyc" />
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<Content Include="engine\__pycache__\ast.cpython-39.pyc" />
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<Content Include="engine\__pycache__\ddl.cpython-310.pyc" />
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<Content Include="engine\__pycache__\ddl.cpython-39.pyc" />
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<Content Include="engine\__pycache__\expr.cpython-310.pyc" />
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<Content Include="engine\__pycache__\expr.cpython-39.pyc" />
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<Content Include="engine\__pycache__\groupby.cpython-310.pyc" />
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<Content Include="engine\__pycache__\join.cpython-310.pyc" />
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<Content Include="engine\__pycache__\join.cpython-39.pyc" />
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<Content Include="engine\__pycache__\orderby.cpython-310.pyc" />
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<Content Include="engine\__pycache__\projection.cpython-310.pyc" />
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<Content Include="engine\__pycache__\projection.cpython-39.pyc" />
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<Content Include="engine\__pycache__\scan.cpython-310.pyc" />
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<Content Include="engine\__pycache__\types.cpython-310.pyc" />
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<Content Include="engine\__pycache__\utils.cpython-310.pyc" />
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<Content Include="engine\__pycache__\utils.cpython-39.pyc" />
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<Content Include="engine\__pycache__\__init__.cpython-310.pyc" />
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<Content Include="engine\__pycache__\__init__.cpython-39.pyc" />
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</ItemGroup>
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<Import Project="$(MSBuildExtensionsPath32)\Microsoft\VisualStudio\v$(VisualStudioVersion)\Python Tools\Microsoft.PythonTools.targets" />
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<!-- Uncomment the CoreCompile target to enable the Build command in
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Visual Studio and specify your pre- and post-build commands in
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the BeforeBuild and AfterBuild targets below. -->
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<!--<Target Name="CoreCompile" />-->
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<Target Name="BeforeBuild">
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</Target>
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<Target Name="AfterBuild">
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</Target>
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</Project>
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@ -0,0 +1,60 @@
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#include "./server/libaquery.h"
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#include <unordered_map>
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#include "./server/hasher.h"
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#include "csv.h"
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#include "./server/aggregations.h"
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extern "C" int __DLLEXPORT__ dllmain(Context* cxt) {
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using namespace std;
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using namespace types;
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auto sale = new TableInfo<int,int>("sale", 2);
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cxt->tables.insert({"sale", sale});
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auto& sale_Month = *(ColRef<int> *)(&sale->colrefs[0]);
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auto& sale_sales = *(ColRef<int> *)(&sale->colrefs[1]);
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sale_Month.init();
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sale_sales.init();
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io::CSVReader<2> csv_reader_53ychC("moving_avg.csv");
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csv_reader_53ychC.read_header(io::ignore_extra_column, "Month","sales");
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int tmp_7ttMnHd3;
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int tmp_5nHjeAtP;
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while(csv_reader_53ychC.read_row(tmp_7ttMnHd3,tmp_5nHjeAtP)) {
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sale_Month.emplace_back(tmp_7ttMnHd3);
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sale_sales.emplace_back(tmp_5nHjeAtP);
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}
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auto out_3Xio = new TableInfo<decays<decltype(sale_Month[0])>,decays<decltype(avgw(3,sale_sales))>>("out_3Xio", 2);
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cxt->tables.insert({"out_3Xio", out_3Xio});
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auto& out_3Xio_Month = *(ColRef<decays<decltype(sale_Month[0])>> *)(&out_3Xio->colrefs[0]);
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auto& out_3Xio_avgsw3salesales = *(ColRef<decays<decltype(avgw(3,sale_sales))>> *)(&out_3Xio->colrefs[1]);
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out_3Xio_Month.init();
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out_3Xio_Month = sale_Month;
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out_3Xio_avgsw3salesales.init();
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out_3Xio_avgsw3salesales = avgw(3,sale_sales);
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// print(*out_3Xio);
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FILE* fp_4nKGhD = fopen("moving_avg_output.csv", "w");
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out_3Xio->printall(",", "\n", nullptr, fp_4nKGhD);
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fclose(fp_4nKGhD);
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typedef record<decltype(sale_sales[0])> record_type1H2vDGL;
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unordered_map<record_type1H2vDGL, vector_type<uint32_t>, transTypes<record_type1H2vDGL, hasher>> g6Mjxfk5;
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for (uint32_t i7u = 0; i7u < sale_sales.size; ++i7u){
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g6Mjxfk5[forward_as_tuple(sale_sales[i7u])].emplace_back(i7u);
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}
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auto out_2IU2 = new TableInfo<decays<decltype(sale_sales[0])>,decays<decltype(minw(2,sale_Month))>>("out_2IU2", 2);
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cxt->tables.insert({"out_2IU2", out_2IU2});
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auto& out_2IU2_sales = *(ColRef<decays<decltype(sale_sales[0])>> *)(&out_2IU2->colrefs[0]);
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auto& out_2IU2_minsw2saleMonth = *(ColRef<decays<decltype(minw(2,sale_Month))>> *)(&out_2IU2->colrefs[1]);
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out_2IU2_sales.init();
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out_2IU2_minsw2saleMonth.init();
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for(auto& i5J : g6Mjxfk5) {
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auto &key_4jl5toH = i5J.first;
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auto &val_VJGwVwH = i5J.second;
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out_2IU2_sales.emplace_back(get<0>(key_4jl5toH));
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out_2IU2_minsw2saleMonth.emplace_back(minw(2,sale_Month[val_VJGwVwH]));
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}
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// print(*out_2IU2);
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FILE* fp_18R4fY = fopen("flatten.csv", "w");
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out_2IU2->printall(",","\n", nullptr, fp_18R4fY);
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fclose(fp_18R4fY);
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return 0;
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}
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@ -1 +1,11 @@
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#include "vector_type.hpp"
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#include <iostream>
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template<typename _Ty>
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inline void vector_type<_Ty>::out(uint32_t n, const char* sep) const
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{
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n = n > size ? size : n;
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std::cout << '(';
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for (uint32_t i = 0; i < n; ++i)
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std::cout << this->operator[](i) << sep;
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std::cout << ')';
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}
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Loading…
Reference in new issue