mirror of
https://github.com/gristlabs/grist-core.git
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b416a5c4b1
Summary: Formulas in summary tables were being associated with the source table for automatic updating. When a table/column was renamed such that the formula needed to update to match, it would look for a column with the same colId but in the source table. Such a column might not exist which would lead to an error, or if it existed then the update would be wrong. This association was created while building formulas to display in the code view in a nested `_Summary` class, it didn't need to exist at all. So this diff simply prevents the association from being created. User report and discussion: https://grist.slack.com/archives/C0234CPPXPA/p1659717322297019 Test Plan: Extended `TestSummary.test_table_rename` Python test. Reviewers: georgegevoian Reviewed By: georgegevoian Differential Revision: https://phab.getgrist.com/D3568
226 lines
8.4 KiB
Python
226 lines
8.4 KiB
Python
"""
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gencode.py is the module that generates a python module based on the schema in a grist document.
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An example of the module it generates is available in usercode.py.
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The schema for grist data is:
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<schema> = [ <table_info> ]
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<table_info> = {
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"tableId": <string>,
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"columns": [ <column_info> ],
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}
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<column_info> = {
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"id": <string>,
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"type": <string>
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"isFormula": <boolean>,
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"formula": <opt_string>,
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}
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"""
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import linecache
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import re
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import imp
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from collections import OrderedDict
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import six
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import codebuilder
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from column import is_visible_column
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import summary
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import table
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import textbuilder
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from usertypes import get_type_default
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import logger
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log = logger.Logger(__name__, logger.INFO)
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indent_str = " "
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# Matches newlines that are followed by a non-empty line.
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indent_line_re = re.compile(r'^(?=.*\S)', re.M)
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def indent(body, levels=1):
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"""Indents all lines in body (which should be a textbuilder.Builder), except empty ones."""
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patches = textbuilder.make_regexp_patches(body.get_text(), indent_line_re, indent_str * levels)
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return textbuilder.Replacer(body, patches)
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#----------------------------------------------------------------------
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def get_grist_type(col_type):
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"""Returns code for a grist usertype object given a column type string."""
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col_type_split = col_type.split(':', 1)
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typename = col_type_split[0]
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if typename == 'Ref':
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typename = 'Reference'
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elif typename == 'RefList':
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typename = 'ReferenceList'
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arg = col_type_split[1] if len(col_type_split) > 1 else ''
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arg = arg.strip().replace("'", "\\'")
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return "grist.%s(%s)" % (typename, ("'%s'" % arg) if arg else '')
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class GenCode(object):
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"""
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GenCode generates the Python code for a Grist document, including converting formulas to Python
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functions and producing a Python specification of all the tables with data and formula fields.
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To save the costly work of generating formula code, it maintains a formula cache. It is a
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dictionary mapping (table_id, col_id, formula) to a textbuilder.Builder. On each run of
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make_module(), it will use the previously cached values for lookups, and replace the contents
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of the cache with current values. If ever we need to generate code for unrelated schemas, to
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benefit from the cache, a separate GenCode object should be used for each schema.
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"""
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def __init__(self):
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self._formula_cache = {}
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self._new_formula_cache = {}
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self._full_builder = None
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self._user_builder = None
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self._usercode = None
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def _make_formula_field(self, col_info, table_id, name=None, include_type=True,
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additional_params=()):
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"""Returns the code for a formula field."""
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# If the caller didn't specify a special name, use the colId
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name = name or col_info.colId
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decl = "def %s(%s):\n" % (
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name,
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', '.join(['rec', 'table'] + list(additional_params))
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)
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# This is where we get to use the formula cache, and save the work of rebuilding formulas.
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key = (table_id, col_info.colId, col_info.formula)
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body = self._formula_cache.get(key)
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if body is None:
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default = get_type_default(col_info.type)
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# If we have a table_id like `Table._Summary`, then we don't want to actually associate
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# this field with any real table/column.
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assoc_value = None if table_id.endswith("._Summary") else (table_id, col_info.colId)
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body = codebuilder.make_formula_body(col_info.formula, default, assoc_value)
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self._new_formula_cache[key] = body
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decorator = ''
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if include_type and col_info.type != 'Any':
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decorator = '@grist.formulaType(%s)\n' % get_grist_type(col_info.type)
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return textbuilder.Combiner(['\n' + decorator + decl, indent(body), '\n'])
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def _make_data_field(self, col_info, table_id):
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"""Returns the code for a data field."""
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parts = []
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if col_info.formula:
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parts.append(self._make_formula_field(col_info, table_id,
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name=table.get_default_func_name(col_info.colId),
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include_type=False,
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additional_params=['value', 'user']))
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parts.append("%s = %s\n" % (col_info.colId, get_grist_type(col_info.type)))
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return textbuilder.Combiner(parts)
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def _make_field(self, col_info, table_id):
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"""Returns the code for a field."""
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assert not col_info.colId.startswith("_")
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if col_info.isFormula:
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return self._make_formula_field(col_info, table_id)
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else:
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return self._make_data_field(col_info, table_id)
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def _make_table_model(self, table_info, summary_tables, filter_for_user=False):
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"""
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Returns the code for a table model.
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If filter_for_user is True, includes only user-visible columns.
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"""
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table_id = table_info.tableId
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source_table_id = summary.decode_summary_table_name(table_info)
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# Sort columns by "isFormula" to output all data columns before all formula columns.
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columns = sorted(six.itervalues(table_info.columns), key=lambda c: c.isFormula)
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if filter_for_user:
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columns = [c for c in columns if is_visible_column(c.colId)]
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parts = ["@grist.UserTable\nclass %s:\n" % table_id]
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if source_table_id:
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parts.append(indent(textbuilder.Text("_summarySourceTable = %r\n" % source_table_id)))
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for col_info in columns:
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parts.append(indent(self._make_field(col_info, table_id)))
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if summary_tables:
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# Include summary formulas, for the user's information.
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formulas = OrderedDict((c.colId, c) for s in summary_tables
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for c in six.itervalues(s.columns) if c.isFormula)
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parts.append(indent(textbuilder.Text("\nclass _Summary:\n")))
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for col_info in six.itervalues(formulas):
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# Associate this field with the fake table `table_id + "._Summary"`.
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# We don't know which summary table each formula belongs to, there might be several,
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# and we don't care here because this is just for display in the code view.
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# The real formula will be associated with the real summary table elsewhere.
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# Previously this field was accidentally associated with the source table, causing bugs.
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parts.append(indent(self._make_field(col_info, table_id + "._Summary"), levels=2))
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return textbuilder.Combiner(parts)
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def make_module(self, schema):
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"""Regenerates the code text and usercode module from updated document schema."""
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# Collect summary tables to group them by source table.
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summary_tables = {}
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for table_info in six.itervalues(schema):
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source_table_id = summary.decode_summary_table_name(table_info)
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if source_table_id:
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summary_tables.setdefault(source_table_id, []).append(table_info)
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fullparts = ["import grist\n" +
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"from functions import * # global uppercase functions\n" +
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"import datetime, math, re # modules commonly needed in formulas\n"]
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userparts = fullparts[:]
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for table_info in six.itervalues(schema):
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fullparts.append("\n\n")
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fullparts.append(self._make_table_model(table_info, summary_tables.get(table_info.tableId)))
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if not (
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_is_special_table(table_info.tableId) or
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summary.decode_summary_table_name(table_info)
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):
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userparts.append("\n\n")
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userparts.append(self._make_table_model(table_info, summary_tables.get(table_info.tableId),
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filter_for_user=True))
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# Once all formulas are generated, replace the formula cache with the newly-populated version.
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self._formula_cache = self._new_formula_cache
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self._new_formula_cache = {}
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self._full_builder = textbuilder.Combiner(fullparts)
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self._user_builder = textbuilder.Combiner(userparts)
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self._usercode = exec_module_text(self._full_builder.get_text())
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def get_user_text(self):
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"""Returns the text of the user-facing part of the generated code."""
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return self._user_builder.get_text()
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@property
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def usercode(self):
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"""Returns the generated usercode module."""
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return self._usercode
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def grist_names(self):
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return codebuilder.parse_grist_names(self._full_builder)
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def _is_special_table(table_id):
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return table_id.startswith("_grist_")
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def exec_module_text(module_text):
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# pylint: disable=exec-used
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filename = "usercode"
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mod = imp.new_module(filename)
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# Ensure that source lines show in tracebacks
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linecache.cache[filename] = (
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len(module_text),
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None,
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[line + '\n' for line in module_text.splitlines()],
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filename,
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)
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code_obj = compile(module_text, filename, "exec")
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exec(code_obj, mod.__dict__)
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return mod
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