sample_id stringlengths 21 196 | text stringlengths 105 936k | metadata dict | category stringclasses 6
values |
|---|---|---|---|
frappe/erpnext:erpnext/patches/v16_0/add_new_stock_entry_types.py | import frappe
def execute():
for stock_entry_type in [
"Receive from Customer",
"Return Raw Material to Customer",
"Subcontracting Delivery",
"Subcontracting Return",
]:
if not frappe.db.exists("Stock Entry Type", stock_entry_type):
frappe.new_doc("Stock Entry Type", purpose=stock_entry_type, is_standa... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v16_0/add_new_stock_entry_types.py",
"license": "GNU General Public License v3.0",
"lines": 12,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
frappe/erpnext:erpnext/patches/v16_0/rename_subcontracted_quantity.py | import frappe
from frappe.model.utils.rename_field import rename_field
def execute():
if frappe.db.has_column("Purchase Order Item", "subcontracted_quantity"):
rename_field("Purchase Order Item", "subcontracted_quantity", "subcontracted_qty")
| {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v16_0/rename_subcontracted_quantity.py",
"license": "GNU General Public License v3.0",
"lines": 5,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
frappe/erpnext:erpnext/subcontracting/doctype/subcontracting_inward_order/subcontracting_inward_order.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
import frappe
from frappe import _
from frappe.model.document import Document
from frappe.model.mapper import get_mapped_doc
from frappe.utils import comma_and, flt, get_link_to_form
from erpnext.buy... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/subcontracting/doctype/subcontracting_inward_order/subcontracting_inward_order.py",
"license": "GNU General Public License v3.0",
"lines": 471,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition":... | license |
frappe/erpnext:erpnext/subcontracting/doctype/subcontracting_inward_order/subcontracting_inward_order_dashboard.py | from frappe import _
def get_data():
return {
"fieldname": "subcontracting_inward_order",
"transactions": [
{
"label": _("Transactions"),
"items": ["Stock Entry"],
},
{
"label": _("Manufacturing"),
"items": ["Work Order"],
},
],
}
| {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/subcontracting/doctype/subcontracting_inward_order/subcontracting_inward_order_dashboard.py",
"license": "GNU General Public License v3.0",
"lines": 15,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"rep... | function_simple |
frappe/erpnext:erpnext/subcontracting/doctype/subcontracting_inward_order/test_subcontracting_inward_order.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and Contributors
# See license.txt
import frappe
from frappe.tests import IntegrationTestCase
# On IntegrationTestCase, the doctype test records and all
# link-field test record dependencies are recursively loaded
# Use these module variables to add/remove to/from t... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/subcontracting/doctype/subcontracting_inward_order/test_subcontracting_inward_order.py",
"license": "GNU General Public License v3.0",
"lines": 509,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetit... | test |
frappe/erpnext:erpnext/subcontracting/doctype/subcontracting_inward_order_item/subcontracting_inward_order_item.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
import frappe
from frappe.model.document import Document
from frappe.query_builder.functions import Sum
class SubcontractingInwardOrderItem(Document):
# begin: auto-generated types
# This code is ... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/subcontracting/doctype/subcontracting_inward_order_item/subcontracting_inward_order_item.py",
"license": "GNU General Public License v3.0",
"lines": 43,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"rep... | license |
frappe/erpnext:erpnext/subcontracting/doctype/subcontracting_inward_order_received_item/subcontracting_inward_order_received_item.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
# import frappe
from frappe.model.document import Document
class SubcontractingInwardOrderReceivedItem(Document):
# begin: auto-generated types
# This code is auto-generated. Do not modify anythin... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/subcontracting/doctype/subcontracting_inward_order_received_item/subcontracting_inward_order_received_item.py",
"license": "GNU General Public License v3.0",
"lines": 30,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pa... | license |
frappe/erpnext:erpnext/subcontracting/doctype/subcontracting_inward_order_scrap_item/subcontracting_inward_order_scrap_item.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
# import frappe
from frappe.model.document import Document
class SubcontractingInwardOrderScrapItem(Document):
# begin: auto-generated types
# This code is auto-generated. Do not modify anything i... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/subcontracting/doctype/subcontracting_inward_order_scrap_item/subcontracting_inward_order_scrap_item.py",
"license": "GNU General Public License v3.0",
"lines": 22,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern"... | license |
frappe/erpnext:erpnext/subcontracting/doctype/subcontracting_inward_order_service_item/subcontracting_inward_order_service_item.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
# import frappe
from frappe.model.document import Document
class SubcontractingInwardOrderServiceItem(Document):
# begin: auto-generated types
# This code is auto-generated. Do not modify anything... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/subcontracting/doctype/subcontracting_inward_order_service_item/subcontracting_inward_order_service_item.py",
"license": "GNU General Public License v3.0",
"lines": 24,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_patt... | license |
frappe/erpnext:erpnext/accounts/report/consolidated_trial_balance/consolidated_trial_balance.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
import frappe
from frappe import _
from frappe.utils import flt, getdate, now_datetime, nowdate
import erpnext
from erpnext.accounts.doctype.account.account import get_root_company
from erpnext.accou... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/accounts/report/consolidated_trial_balance/consolidated_trial_balance.py",
"license": "GNU General Public License v3.0",
"lines": 366,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"t... | license |
frappe/erpnext:erpnext/accounts/report/consolidated_trial_balance/test_consolidated_trial_balance.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and Contributors
# MIT License. See license.txt
import frappe
from frappe import _
from frappe.tests import IntegrationTestCase
from frappe.utils import flt, today
from erpnext.accounts.report.consolidated_trial_balance.consolidated_trial_balance import execute
from... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/accounts/report/consolidated_trial_balance/test_consolidated_trial_balance.py",
"license": "GNU General Public License v3.0",
"lines": 93,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
... | test |
frappe/erpnext:erpnext/patches/v16_0/set_posting_datetime_for_sabb_and_drop_indexes.py | import click
import frappe
def execute():
frappe.db.sql(
"""
UPDATE `tabSerial and Batch Bundle`
JOIN `tabStock Ledger Entry`
ON `tabSerial and Batch Bundle`.`name` = `tabStock Ledger Entry`.`serial_and_batch_bundle`
SET `tabSerial and Batch Bundle`.`posting_datetime` = `tabStock Ledger Entry`.`posting_dat... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v16_0/set_posting_datetime_for_sabb_and_drop_indexes.py",
"license": "GNU General Public License v3.0",
"lines": 24,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ... | function_simple |
frappe/erpnext:erpnext/manufacturing/doctype/master_production_schedule/master_production_schedule.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
import math
import frappe
from frappe import _, bold
from frappe.model.document import Document
from frappe.utils import add_days, getdate, parse_json
class MasterProductionSchedule(Document):
# b... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/manufacturing/doctype/master_production_schedule/master_production_schedule.py",
"license": "GNU General Public License v3.0",
"lines": 374,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1... | license |
frappe/erpnext:erpnext/manufacturing/doctype/master_production_schedule/test_master_production_schedule.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and Contributors
# See license.txt
# import frappe
from frappe.tests import IntegrationTestCase
# On IntegrationTestCase, the doctype test records and all
# link-field test record dependencies are recursively loaded
# Use these module variables to add/remove to/from... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/manufacturing/doctype/master_production_schedule/test_master_production_schedule.py",
"license": "GNU General Public License v3.0",
"lines": 15,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition"... | test |
frappe/erpnext:erpnext/manufacturing/doctype/master_production_schedule_item/master_production_schedule_item.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
# import frappe
from frappe.model.document import Document
class MasterProductionScheduleItem(Document):
# begin: auto-generated types
# This code is auto-generated. Do not modify anything in this... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/manufacturing/doctype/master_production_schedule_item/master_production_schedule_item.py",
"license": "GNU General Public License v3.0",
"lines": 24,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repeti... | license |
frappe/erpnext:erpnext/manufacturing/doctype/sales_forecast/sales_forecast.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
import frappe
from frappe.model.document import Document
from frappe.model.mapper import get_mapped_doc
from frappe.utils import add_to_date
class SalesForecast(Document):
# begin: auto-generated t... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/manufacturing/doctype/sales_forecast/sales_forecast.py",
"license": "GNU General Public License v3.0",
"lines": 74,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
frappe/erpnext:erpnext/manufacturing/doctype/sales_forecast/sales_forecast_dashboard.py | from frappe import _
def get_data():
return {
"fieldname": "demand_planning",
"transactions": [
{
"label": _("MPS"),
"items": ["Master Production Schedule"],
},
],
}
| {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/manufacturing/doctype/sales_forecast/sales_forecast_dashboard.py",
"license": "GNU General Public License v3.0",
"lines": 11,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template":... | function_simple |
frappe/erpnext:erpnext/manufacturing/doctype/sales_forecast/test_sales_forecast.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and Contributors
# See license.txt
# import frappe
from frappe.tests import IntegrationTestCase
# On IntegrationTestCase, the doctype test records and all
# link-field test record dependencies are recursively loaded
# Use these module variables to add/remove to/from... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/manufacturing/doctype/sales_forecast/test_sales_forecast.py",
"license": "GNU General Public License v3.0",
"lines": 15,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
frappe/erpnext:erpnext/manufacturing/doctype/sales_forecast_item/sales_forecast_item.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
# import frappe
from frappe.model.document import Document
class SalesForecastItem(Document):
# begin: auto-generated types
# This code is auto-generated. Do not modify anything in this block.
f... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/manufacturing/doctype/sales_forecast_item/sales_forecast_item.py",
"license": "GNU General Public License v3.0",
"lines": 23,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template":... | license |
frappe/erpnext:erpnext/patches/v16_0/set_reporting_currency.py | import frappe
from frappe.utils import getdate
from frappe.utils.nestedset import get_descendants_of
from erpnext.accounts.utils import get_fiscal_year
from erpnext.setup.utils import get_exchange_rate
def execute():
set_company_reporting_currency()
set_amounts_in_reporting_currency_on_gle_and_acb()
def set_comp... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v16_0/set_reporting_currency.py",
"license": "GNU General Public License v3.0",
"lines": 118,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
frappe/erpnext:erpnext/selling/doctype/delivery_schedule_item/delivery_schedule_item.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
# import frappe
from frappe.model.document import Document
class DeliveryScheduleItem(Document):
# begin: auto-generated types
# This code is auto-generated. Do not modify anything in this block.
... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/selling/doctype/delivery_schedule_item/delivery_schedule_item.py",
"license": "GNU General Public License v3.0",
"lines": 22,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template":... | license |
frappe/erpnext:erpnext/selling/doctype/delivery_schedule_item/test_delivery_schedule_item.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and Contributors
# See license.txt
# import frappe
from frappe.tests import IntegrationTestCase
# On IntegrationTestCase, the doctype test records and all
# link-field test record dependencies are recursively loaded
# Use these module variables to add/remove to/from... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/selling/doctype/delivery_schedule_item/test_delivery_schedule_item.py",
"license": "GNU General Public License v3.0",
"lines": 15,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"templ... | test |
frappe/erpnext:erpnext/stock/doctype/item_lead_time/item_lead_time.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
# import frappe
from frappe.model.document import Document
class ItemLeadTime(Document):
# begin: auto-generated types
# This code is auto-generated. Do not modify anything in this block.
from t... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/stock/doctype/item_lead_time/item_lead_time.py",
"license": "GNU General Public License v3.0",
"lines": 25,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
frappe/erpnext:erpnext/stock/doctype/item_lead_time/test_item_lead_time.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and Contributors
# See license.txt
# import frappe
from frappe.tests import IntegrationTestCase
# On IntegrationTestCase, the doctype test records and all
# link-field test record dependencies are recursively loaded
# Use these module variables to add/remove to/from... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/stock/doctype/item_lead_time/test_item_lead_time.py",
"license": "GNU General Public License v3.0",
"lines": 15,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
frappe/erpnext:erpnext/manufacturing/doctype/workstation_cost/test_workstation_cost.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and Contributors
# See license.txt
# import frappe
from frappe.tests import IntegrationTestCase
# On IntegrationTestCase, the doctype test records and all
# link-field test record dependencies are recursively loaded
# Use these module variables to add/remove to/from... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/manufacturing/doctype/workstation_cost/test_workstation_cost.py",
"license": "GNU General Public License v3.0",
"lines": 15,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ... | test |
frappe/erpnext:erpnext/manufacturing/doctype/workstation_cost/workstation_cost.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
# import frappe
from frappe.model.document import Document
class WorkstationCost(Document):
# begin: auto-generated types
# This code is auto-generated. Do not modify anything in this block.
fro... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/manufacturing/doctype/workstation_cost/workstation_cost.py",
"license": "GNU General Public License v3.0",
"lines": 17,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
frappe/erpnext:erpnext/manufacturing/doctype/workstation_operating_component/test_workstation_operating_component.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and Contributors
# See license.txt
# import frappe
from frappe.tests import IntegrationTestCase
# On IntegrationTestCase, the doctype test records and all
# link-field test record dependencies are recursively loaded
# Use these module variables to add/remove to/from... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/manufacturing/doctype/workstation_operating_component/test_workstation_operating_component.py",
"license": "GNU General Public License v3.0",
"lines": 15,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"r... | test |
frappe/erpnext:erpnext/manufacturing/doctype/workstation_operating_component/workstation_operating_component.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
# import frappe
from frappe.model.document import Document
class WorkstationOperatingComponent(Document):
# begin: auto-generated types
# This code is auto-generated. Do not modify anything in thi... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/manufacturing/doctype/workstation_operating_component/workstation_operating_component.py",
"license": "GNU General Public License v3.0",
"lines": 17,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repeti... | license |
frappe/erpnext:erpnext/manufacturing/doctype/workstation_operating_component_account/test_workstation_operating_component_account.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and Contributors
# See license.txt
# import frappe
from frappe.tests import IntegrationTestCase
# On IntegrationTestCase, the doctype test records and all
# link-field test record dependencies are recursively loaded
# Use these module variables to add/remove to/from... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/manufacturing/doctype/workstation_operating_component_account/test_workstation_operating_component_account.py",
"license": "GNU General Public License v3.0",
"lines": 15,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pa... | test |
frappe/erpnext:erpnext/manufacturing/doctype/workstation_operating_component_account/workstation_operating_component_account.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
# import frappe
from frappe.model.document import Document
class WorkstationOperatingComponentAccount(Document):
# begin: auto-generated types
# This code is auto-generated. Do not modify anything... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/manufacturing/doctype/workstation_operating_component_account/workstation_operating_component_account.py",
"license": "GNU General Public License v3.0",
"lines": 17,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern... | license |
frappe/erpnext:erpnext/patches/v15_0/update_fieldname_in_accounting_dimension_filter.py | import frappe
from frappe.query_builder import DocType
def execute():
default_accounting_dimension()
ADF = DocType("Accounting Dimension Filter")
AD = DocType("Accounting Dimension")
accounting_dimension_filter = (
frappe.qb.from_(ADF)
.join(AD)
.on(AD.document_type == ADF.accounting_dimension)
.select(A... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/update_fieldname_in_accounting_dimension_filter.py",
"license": "GNU General Public License v3.0",
"lines": 30,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template":... | function_simple |
frappe/erpnext:erpnext/patches/v16_0/make_workstation_operating_components.py | import frappe
from frappe import _
def get_operating_cost_account(company):
company_details = frappe.db.get_value(
"Company", company, ["default_operating_cost_account", "default_expense_account"], as_dict=True
)
return company_details.get("default_operating_cost_account") or company_details.get(
"default_exp... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v16_0/make_workstation_operating_components.py",
"license": "GNU General Public License v3.0",
"lines": 62,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
frappe/erpnext:erpnext/patches/v15_0/update_uae_zero_rated_fetch.py | import frappe
from erpnext.regional.united_arab_emirates.setup import make_custom_fields
def execute():
if not frappe.db.get_value("Company", {"country": "United Arab Emirates"}):
return
make_custom_fields()
| {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/update_uae_zero_rated_fetch.py",
"license": "GNU General Public License v3.0",
"lines": 6,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
frappe/erpnext:erpnext/patches/v16_0/update_serial_no_reference_name.py | import frappe
def execute():
# Update the reference_name, reference_doctype fields for Serial No where it is null
if not frappe.db.has_column("Serial and Batch Bundle", "posting_date"):
return
sabb = frappe.qb.DocType("Serial and Batch Bundle")
sabb_entry = frappe.qb.DocType("Serial and Batch Entry")
serial_... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v16_0/update_serial_no_reference_name.py",
"license": "GNU General Public License v3.0",
"lines": 24,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
frappe/erpnext:erpnext/stock/report/serial_no_and_batch_traceability/serial_no_and_batch_traceability.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
import frappe
from frappe import _
from frappe.query_builder import Case
def execute(filters: dict | None = None):
report = ReportData(filters)
report.validate_filters()
data = report.get_data()
... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/stock/report/serial_no_and_batch_traceability/serial_no_and_batch_traceability.py",
"license": "GNU General Public License v3.0",
"lines": 480,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition":... | license |
frappe/erpnext:erpnext/patches/v15_0/add_company_payment_gateway_account.py | import frappe
def execute():
for gateway_account in frappe.get_list("Payment Gateway Account", fields=["name", "payment_account"]):
company = frappe.db.get_value("Account", gateway_account.payment_account, "company")
frappe.db.set_value("Payment Gateway Account", gateway_account.name, "company", company)
| {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/add_company_payment_gateway_account.py",
"license": "GNU General Public License v3.0",
"lines": 5,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
frappe/erpnext:erpnext/patches/v15_0/repost_gl_entries_with_no_account_subcontracting.py | import frappe
def execute():
def cancel_incorrect_gl_entries(gl_entries):
table = frappe.qb.DocType("GL Entry")
frappe.qb.update(table).set(table.is_cancelled, 1).where(table.name.isin(gl_entries)).run()
def recreate_gl_entries(voucher_nos):
for doc in voucher_nos:
doc = frappe.get_doc("Subcontracting Rec... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/repost_gl_entries_with_no_account_subcontracting.py",
"license": "GNU General Public License v3.0",
"lines": 25,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template"... | function_simple |
frappe/erpnext:erpnext/patches/v15_0/update_payment_ledger_entries_against_advance_doctypes.py | import frappe
from erpnext.accounts.utils import get_advance_payment_doctypes
DOCTYPE = "Payment Ledger Entry"
def execute():
"""
Description:
Set against_voucher as entry for Payment Ledger Entry against advance vouchers.
"""
advance_payment_doctypes = get_advance_payment_doctypes()
if not advance_payment_d... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/update_payment_ledger_entries_against_advance_doctypes.py",
"license": "GNU General Public License v3.0",
"lines": 19,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"tem... | function_simple |
frappe/erpnext:erpnext/stock/doctype/landed_cost_vendor_invoice/landed_cost_vendor_invoice.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
# import frappe
from frappe.model.document import Document
class LandedCostVendorInvoice(Document):
# begin: auto-generated types
# This code is auto-generated. Do not modify anything in this bloc... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/stock/doctype/landed_cost_vendor_invoice/landed_cost_vendor_invoice.py",
"license": "GNU General Public License v3.0",
"lines": 17,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"temp... | license |
frappe/erpnext:erpnext/stock/report/landed_cost_report/landed_cost_report.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
import frappe
from frappe import _
def execute(filters: dict | None = None):
columns = get_columns()
data = get_data(filters)
return columns, data
def get_columns() -> list[dict]:
return [
... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/stock/report/landed_cost_report/landed_cost_report.py",
"license": "GNU General Public License v3.0",
"lines": 123,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
frappe/erpnext:erpnext/patches/v15_0/patch_missing_buying_price_list_in_material_request.py | import frappe
import frappe.defaults
def execute():
if frappe.db.has_column("Material Request", "buying_price_list") and (
default_buying_price_list := frappe.defaults.get_defaults().buying_price_list
):
docs = frappe.get_all(
"Material Request", filters={"buying_price_list": ["is", "not set"], "docstatus": ... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/patch_missing_buying_price_list_in_material_request.py",
"license": "GNU General Public License v3.0",
"lines": 15,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"templa... | function_simple |
frappe/erpnext:erpnext/patches/v15_0/remove_sales_partner_from_consolidated_sales_invoice.py | import frappe
def execute():
SalesInvoice = frappe.qb.DocType("Sales Invoice")
query = (
frappe.qb.update(SalesInvoice)
.set(SalesInvoice.sales_partner, "")
.set(SalesInvoice.commission_rate, 0)
.set(SalesInvoice.total_commission, 0)
.where(SalesInvoice.is_consolidated == 1)
)
# For develop/version-16... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/remove_sales_partner_from_consolidated_sales_invoice.py",
"license": "GNU General Public License v3.0",
"lines": 14,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"templ... | function_simple |
frappe/erpnext:erpnext/patches/v15_0/rename_price_list_to_buying_price_list.py | import frappe
from frappe.model.utils.rename_field import rename_field
def execute():
if frappe.db.has_column("Material Request", "price_list"):
rename_field(
"Material Request",
"price_list",
"buying_price_list",
)
| {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/rename_price_list_to_buying_price_list.py",
"license": "GNU General Public License v3.0",
"lines": 9,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
frappe/erpnext:erpnext/patches/v15_0/set_company_on_pos_inv_merge_log.py | import frappe
def execute():
pos_invoice_merge_logs = frappe.db.get_all(
"POS Invoice Merge Log", {"docstatus": 1}, ["name", "pos_closing_entry"]
)
frappe.db.auto_commit_on_many_writes = 1
for log in pos_invoice_merge_logs:
if log.pos_closing_entry and frappe.db.exists("POS Closing Entry", log.pos_closing_en... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/set_company_on_pos_inv_merge_log.py",
"license": "GNU General Public License v3.0",
"lines": 11,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
frappe/erpnext:erpnext/patches/v15_0/set_status_cancelled_on_cancelled_pos_opening_entry_and_pos_closing_entry.py | import frappe
from frappe.query_builder import DocType
def execute():
POSOpeningEntry = DocType("POS Opening Entry")
POSClosingEntry = DocType("POS Closing Entry")
frappe.qb.update(POSOpeningEntry).set(POSOpeningEntry.status, "Cancelled").where(
POSOpeningEntry.docstatus == 2
).run()
frappe.qb.update(POSClosi... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/set_status_cancelled_on_cancelled_pos_opening_entry_and_pos_closing_entry.py",
"license": "GNU General Public License v3.0",
"lines": 11,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repe... | function_simple |
frappe/erpnext:erpnext/accounts/doctype/pegged_currencies/pegged_currencies.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
# import frappe
from frappe.model.document import Document
class PeggedCurrencies(Document):
# begin: auto-generated types
# This code is auto-generated. Do not modify anything in this block.
fr... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/accounts/doctype/pegged_currencies/pegged_currencies.py",
"license": "GNU General Public License v3.0",
"lines": 14,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
frappe/erpnext:erpnext/accounts/doctype/pegged_currencies/test_pegged_currencies.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and Contributors
# See license.txt
# import frappe
from frappe.tests import IntegrationTestCase, UnitTestCase
# On IntegrationTestCase, the doctype test records and all
# link-field test record dependencies are recursively loaded
# Use these module variables to add/... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/accounts/doctype/pegged_currencies/test_pegged_currencies.py",
"license": "GNU General Public License v3.0",
"lines": 21,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
... | test |
frappe/erpnext:erpnext/accounts/doctype/pegged_currency_details/pegged_currency_details.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
# import frappe
from frappe.model.document import Document
class PeggedCurrencyDetails(Document):
# begin: auto-generated types
# This code is auto-generated. Do not modify anything in this block.... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/accounts/doctype/pegged_currency_details/pegged_currency_details.py",
"license": "GNU General Public License v3.0",
"lines": 18,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"templat... | license |
frappe/erpnext:erpnext/patches/v15_0/update_pick_list_fields.py | import frappe
from frappe.query_builder.functions import IfNull
def execute():
update_delivery_note()
update_pick_list_items()
def update_delivery_note():
DN = frappe.qb.DocType("Delivery Note")
DNI = frappe.qb.DocType("Delivery Note Item")
frappe.qb.update(DNI).join(DN).on(DN.name == DNI.parent).set(DNI.agai... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/update_pick_list_fields.py",
"license": "GNU General Public License v3.0",
"lines": 18,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
frappe/erpnext:erpnext/patches/v15_0/rename_pos_closing_entry_fields.py | import frappe
from frappe.model.utils.rename_field import rename_field
def execute():
rename_field("POS Closing Entry", "pos_transactions", "pos_invoices", validate=False)
if frappe.db.exists("DocType", "Sales Invoice Reference"):
rename_field("POS Closing Entry", "sales_invoice_transactions", "sales_invoices", v... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/rename_pos_closing_entry_fields.py",
"license": "GNU General Public License v3.0",
"lines": 6,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
frappe/erpnext:erpnext/accounts/report/calculated_discount_mismatch/calculated_discount_mismatch.py | # Copyright (c) 2025, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
import json
import frappe
from frappe import _
from frappe.query_builder import Order, Tuple
from frappe.utils.formatters import format_value
AFFECTED_DOCTYPES = frozenset(
(
"POS Invoice",
"Pu... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/accounts/report/calculated_discount_mismatch/calculated_discount_mismatch.py",
"license": "GNU General Public License v3.0",
"lines": 145,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
... | license |
frappe/erpnext:erpnext/patches/v15_0/unset_incorrect_additional_discount_percentage.py | import frappe
from frappe import scrub
from frappe.model.meta import get_field_precision
from frappe.utils import flt
from semantic_version import Version
from erpnext.accounts.report.calculated_discount_mismatch.calculated_discount_mismatch import (
AFFECTED_DOCTYPES,
LAST_MODIFIED_DATE_THRESHOLD,
)
def execute()... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/unset_incorrect_additional_discount_percentage.py",
"license": "GNU General Public License v3.0",
"lines": 81,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ... | function_complex |
frappe/erpnext:erpnext/patches/v15_0/drop_sle_indexes.py | import click
import frappe
def execute():
table = "tabStock Ledger Entry"
index_list = ["posting_datetime_creation_index", "item_warehouse", "batch_no_item_code_warehouse_index"]
for index in index_list:
if not frappe.db.has_index(table, index):
continue
try:
frappe.db.sql_ddl(f"ALTER TABLE `{table}` D... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/drop_sle_indexes.py",
"license": "GNU General Public License v3.0",
"lines": 13,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
frappe/erpnext:erpnext/patches/v15_0/set_cancelled_status_to_cancelled_pos_invoice.py | import frappe
from frappe.query_builder import DocType
def execute():
POSInvoice = DocType("POS Invoice")
frappe.qb.update(POSInvoice).set(POSInvoice.status, "Cancelled").where(POSInvoice.docstatus == 2).run()
| {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/set_cancelled_status_to_cancelled_pos_invoice.py",
"license": "GNU General Public License v3.0",
"lines": 5,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""... | function_simple |
frappe/erpnext:erpnext/patches/v14_0/update_full_name_in_contract.py | import frappe
from frappe import qb
def execute():
con = qb.DocType("Contract")
for c in (
qb.from_(con)
.select(con.name, con.party_type, con.party_name)
.where(con.party_full_name.isnull())
.run(as_dict=True)
):
field = c.party_type.lower() + "_name"
if res := frappe.db.get_value(c.party_type, c.part... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v14_0/update_full_name_in_contract.py",
"license": "GNU General Public License v3.0",
"lines": 13,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
frappe/erpnext:erpnext/patches/v15_0/remove_agriculture_roles.py | import frappe
def execute():
if "agriculture" in frappe.get_installed_apps():
return
for role in ["Agriculture User", "Agriculture Manager"]:
assignments = frappe.get_all("Has Role", {"role": role}, pluck="name")
for assignment in assignments:
frappe.delete_doc("Has Role", assignment, ignore_missing=True,... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/remove_agriculture_roles.py",
"license": "GNU General Public License v3.0",
"lines": 9,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
frappe/erpnext:erpnext/patches/v15_0/rename_group_by_to_categorize_by_in_custom_reports.py | import json
import frappe
def execute():
custom_reports = frappe.get_all(
"Report",
filters={
"report_type": "Custom Report",
"reference_report": ["in", ["General Ledger", "Supplier Quotation Comparison"]],
},
fields=["name", "json"],
)
for report in custom_reports:
report_json = json.loads(repor... | {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/rename_group_by_to_categorize_by_in_custom_reports.py",
"license": "GNU General Public License v3.0",
"lines": 18,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"templat... | function_simple |
frappe/erpnext:erpnext/patches/v15_0/set_grand_total_to_default_mop.py | import frappe
def execute():
if frappe.db.has_column("POS Profile", "disable_grand_total_to_default_mop"):
POSProfile = frappe.qb.DocType("POS Profile")
frappe.qb.update(POSProfile).set(POSProfile.set_grand_total_to_default_mop, 1).where(
POSProfile.disable_grand_total_to_default_mop == 0
).run()
| {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v15_0/set_grand_total_to_default_mop.py",
"license": "GNU General Public License v3.0",
"lines": 7,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
frappe/erpnext:erpnext/patches/v14_0/set_update_price_list_based_on.py | import frappe
from frappe.utils import cint
def execute():
frappe.db.set_single_value(
"Stock Settings",
"update_price_list_based_on",
(
"Price List Rate"
if cint(frappe.db.get_single_value("Selling Settings", "editable_price_list_rate"))
else "Rate"
),
)
| {
"repo_id": "frappe/erpnext",
"file_path": "erpnext/patches/v14_0/set_update_price_list_based_on.py",
"license": "GNU General Public License v3.0",
"lines": 12,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
freqtrade/freqtrade:freqtrade/rpc/api_server/api_trading.py | import logging
from fastapi import APIRouter, Depends, Query
from fastapi.exceptions import HTTPException
from freqtrade.enums import TradingMode
from freqtrade.rpc import RPC
from freqtrade.rpc.api_server.api_schemas import (
Balances,
BlacklistPayload,
BlacklistResponse,
Count,
DailyWeeklyMonthl... | {
"repo_id": "freqtrade/freqtrade",
"file_path": "freqtrade/rpc/api_server/api_trading.py",
"license": "GNU General Public License v3.0",
"lines": 256,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
freqtrade/freqtrade:freqtrade/rpc/api_server/api_webserver.py | import logging
from fastapi import APIRouter, Depends
from freqtrade.data.history.datahandlers import get_datahandler
from freqtrade.enums import CandleType, TradingMode
from freqtrade.rpc.api_server.api_schemas import (
AvailablePairs,
ExchangeListResponse,
FreqAIModelListResponse,
HyperoptLossListRe... | {
"repo_id": "freqtrade/freqtrade",
"file_path": "freqtrade/rpc/api_server/api_webserver.py",
"license": "GNU General Public License v3.0",
"lines": 83,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
freqtrade/freqtrade:freqtrade/system/set_mp_start_method.py | from multiprocessing import get_all_start_methods, get_start_method, set_start_method
def set_mp_start_method():
"""
Set multiprocessing start method to not be fork.
forkserver will become the default in 3.14 - and is deprecated in 3.13
"""
try:
sms = get_all_start_methods()
if "fo... | {
"repo_id": "freqtrade/freqtrade",
"file_path": "freqtrade/system/set_mp_start_method.py",
"license": "GNU General Public License v3.0",
"lines": 12,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
freqtrade/freqtrade:freqtrade/util/ft_ttlcache.py | import time
from cachetools import TTLCache
class FtTTLCache(TTLCache):
"""
A TTLCache with a different default timer to allow for easier mocking in tests.
"""
def __init__(self, maxsize, ttl, timer=time.time, getsizeof=None):
super().__init__(maxsize=maxsize, ttl=ttl, timer=timer, getsizeof... | {
"repo_id": "freqtrade/freqtrade",
"file_path": "freqtrade/util/ft_ttlcache.py",
"license": "GNU General Public License v3.0",
"lines": 8,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
freqtrade/freqtrade:freqtrade/util/singleton.py | from typing import Any
class SingletonMeta(type):
"""
A thread-safe implementation of Singleton.
Use as metaclass to create singleton classes.
"""
_instances: dict = {}
def __call__(cls, *args: Any, **kwargs: Any) -> Any:
if cls not in cls._instances:
instance = super()._... | {
"repo_id": "freqtrade/freqtrade",
"file_path": "freqtrade/util/singleton.py",
"license": "GNU General Public License v3.0",
"lines": 12,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
freqtrade/freqtrade:tests/test_pip_audit.py | """
Run pip audit to check for known security vulnerabilities in installed packages.
Original Idea and base for this implementation by Michael Kennedy's blog:
https://mkennedy.codes/posts/python-supply-chain-security-made-easy/
"""
import os
import subprocess
import sys
from pathlib import Path
import pytest
IN_GIT... | {
"repo_id": "freqtrade/freqtrade",
"file_path": "tests/test_pip_audit.py",
"license": "GNU General Public License v3.0",
"lines": 84,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
freqtrade/freqtrade:freqtrade/exchange/coinex.py | import logging
from freqtrade.exchange import Exchange
from freqtrade.exchange.exchange_types import FtHas
logger = logging.getLogger(__name__)
class Coinex(Exchange):
"""
CoinEx exchange class. Contains adjustments needed for Freqtrade to work
with this exchange.
Please note that this exchange is... | {
"repo_id": "freqtrade/freqtrade",
"file_path": "freqtrade/exchange/coinex.py",
"license": "GNU General Public License v3.0",
"lines": 17,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
freqtrade/freqtrade:freqtrade/plugins/pairlist/DelistFilter.py | """
Delist pair list filter
"""
import logging
from datetime import UTC, datetime, timedelta
from freqtrade.exceptions import ConfigurationError
from freqtrade.exchange.exchange_types import Ticker
from freqtrade.plugins.pairlist.IPairList import IPairList, PairlistParameter, SupportsBacktesting
from freqtrade.util i... | {
"repo_id": "freqtrade/freqtrade",
"file_path": "freqtrade/plugins/pairlist/DelistFilter.py",
"license": "GNU General Public License v3.0",
"lines": 79,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
freqtrade/freqtrade:freqtrade/exchange/bitget.py | import logging
from datetime import datetime, timedelta
import ccxt
from freqtrade.constants import BuySell
from freqtrade.enums import OPTIMIZE_MODES, CandleType, MarginMode, TradingMode
from freqtrade.exceptions import (
DDosProtection,
OperationalException,
RetryableOrderError,
TemporaryError,
)
fr... | {
"repo_id": "freqtrade/freqtrade",
"file_path": "freqtrade/exchange/bitget.py",
"license": "GNU General Public License v3.0",
"lines": 231,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
freqtrade/freqtrade:tests/exchange/test_bitget.py | from copy import deepcopy
from datetime import timedelta
from unittest.mock import MagicMock, PropertyMock
import pytest
from freqtrade.enums import CandleType, MarginMode, RunMode, TradingMode
from freqtrade.exceptions import OperationalException, RetryableOrderError
from freqtrade.exchange.common import API_RETRY_C... | {
"repo_id": "freqtrade/freqtrade",
"file_path": "tests/exchange/test_bitget.py",
"license": "GNU General Public License v3.0",
"lines": 187,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
freqtrade/freqtrade:tests/strategy/test_strategy_parameters.py | # pragma pylint: disable=missing-docstring, C0103
import pytest
from freqtrade.enums import HyperoptState
from freqtrade.exceptions import OperationalException
from freqtrade.optimize.hyperopt_tools import HyperoptStateContainer
from freqtrade.strategy.parameters import (
BaseParameter,
BooleanParameter,
... | {
"repo_id": "freqtrade/freqtrade",
"file_path": "tests/strategy/test_strategy_parameters.py",
"license": "GNU General Public License v3.0",
"lines": 107,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
freqtrade/freqtrade:freqtrade/exchange/luno.py | import logging
from freqtrade.exchange import Exchange
from freqtrade.exchange.exchange_types import FtHas
logger = logging.getLogger(__name__)
class Luno(Exchange):
"""
Luno exchange class. Contains adjustments needed for Freqtrade to work
with this exchange.
Please note that this exchange is not... | {
"repo_id": "freqtrade/freqtrade",
"file_path": "freqtrade/exchange/luno.py",
"license": "GNU General Public License v3.0",
"lines": 17,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
freqtrade/freqtrade:freqtrade/exchange/modetrade.py | import logging
# from freqtrade.enums import MarginMode, TradingMode
from freqtrade.exchange import Exchange
from freqtrade.exchange.exchange_types import FtHas
logger = logging.getLogger(__name__)
class Modetrade(Exchange):
"""
MOdetrade exchange class. Contains adjustments needed for Freqtrade to work
... | {
"repo_id": "freqtrade/freqtrade",
"file_path": "freqtrade/exchange/modetrade.py",
"license": "GNU General Public License v3.0",
"lines": 19,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
freqtrade/freqtrade:tests/data/test_historic_precision.py | # pragma pylint: disable=missing-docstring, C0103
from datetime import UTC
import pandas as pd
from numpy import nan
from pandas import DataFrame, Timestamp
from freqtrade.data.btanalysis.historic_precision import get_tick_size_over_time
def test_get_tick_size_over_time():
"""
Test the get_tick_size_over_t... | {
"repo_id": "freqtrade/freqtrade",
"file_path": "tests/data/test_historic_precision.py",
"license": "GNU General Public License v3.0",
"lines": 233,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
freqtrade/freqtrade:tests/util/test_wallet_util.py | import pytest
from freqtrade.util import get_dry_run_wallet
@pytest.mark.parametrize(
"wallet,stake_currency,expected",
[
(1000, "USDT", 1000),
({"USDT": 1000, "USDC": 500}, "USDT", 1000),
({"USDT": 1000, "USDC": 500}, "USDC", 500),
({"USDT": 1000, "USDC": 500}, "NOCURR", 0.0)... | {
"repo_id": "freqtrade/freqtrade",
"file_path": "tests/util/test_wallet_util.py",
"license": "GNU General Public License v3.0",
"lines": 16,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
geekcomputers/Python:Collatz Sequence/Collaze-Visualize.py | import time
import matplotlib.pyplot as plt
def collatz_sequence(n):
"""Generate the Collatz sequence for n."""
steps = [n]
while n != 1:
n = n // 2 if n % 2 == 0 else 3 * n + 1
steps.append(n)
return steps
def visualize(sequence, title="Collatz Sequence"):
plt.clf()
plt.plot(... | {
"repo_id": "geekcomputers/Python",
"file_path": "Collatz Sequence/Collaze-Visualize.py",
"license": "MIT License",
"lines": 57,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
geekcomputers/Python:password_checker_code.py | import string
def check_password_strength(password):
strength = 0
# Criteria 1: Length (Must be at least 8 characters)
if len(password) >= 8:
strength += 1
# Criteria 2: Must contain Digits (0-9)
has_digit = False
for char in password:
if char.isdigit():
ha... | {
"repo_id": "geekcomputers/Python",
"file_path": "password_checker_code.py",
"license": "MIT License",
"lines": 28,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
geekcomputers/Python:image_compressor.py | import os
import sys
from PIL import Image
def compress_image(image_path, quality=60):
"""
Compresses an image by reducing its quality.
Args:
image_path (str): Path to the image file.
quality (int): Quality of the output image (1-100). Default is 60.
"""
try:
# Open the... | {
"repo_id": "geekcomputers/Python",
"file_path": "image_compressor.py",
"license": "MIT License",
"lines": 43,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
geekcomputers/Python:photo_timestamp_renamer.py | #!/usr/bin/env python3
"""
Author: Ivan Costa Neto
Date: 13-01-26
Auto-rename photos by timestamp, so you can organize those vacation trip photos!!
Name format: YYYY-MM-DD_HH-MM-SS[_NN].ext
Uses EXIF DateTimeOriginal when available (best for JPEG),
otherwise falls back to file modified time,
i.e.
python rename_ph... | {
"repo_id": "geekcomputers/Python",
"file_path": "photo_timestamp_renamer.py",
"license": "MIT License",
"lines": 155,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
geekcomputers/Python:ML/examples/neural_architecture_search.py | import sys
sys.path.insert(0, '.')
import torch
from src.python.neuralforge.nas.search_space import SearchSpace
from src.python.neuralforge.nas.evolution import EvolutionarySearch
from src.python.neuralforge.nas.evaluator import ProxyEvaluator
from src.python.neuralforge.data.dataset import SyntheticDataset, DataLoade... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/examples/neural_architecture_search.py",
"license": "MIT License",
"lines": 47,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
geekcomputers/Python:ML/examples/train_cifar10.py | import sys
import os
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
import torch
import torch.nn as nn
from src.python.neuralforge import Trainer, Config
from src.python.neuralforge.data.datasets import get_dataset
from src.python.neuralforge.data.dataset import DataLoaderBuilder
from src.python.ne... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/examples/train_cifar10.py",
"license": "MIT License",
"lines": 52,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
geekcomputers/Python:ML/examples/train_custom.py | import sys
sys.path.insert(0, '.')
import torch
import torch.nn as nn
from src.python.neuralforge import Trainer, Config
from src.python.neuralforge.data.dataset import SyntheticDataset, DataLoaderBuilder
from src.python.neuralforge.models.resnet import ResNet18
from src.python.neuralforge.optim.optimizers import Adam... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/examples/train_custom.py",
"license": "MIT License",
"lines": 38,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
geekcomputers/Python:ML/src/python/neuralforge/cli/gui.py | import sys
import os
def main():
try:
from PyQt6.QtWidgets import QApplication
except ImportError:
print("Error: PyQt6 not installed")
print("Install with: pip install neuralforge[gui]")
print("Or: pip install PyQt6")
sys.exit(1)
current_dir = os.path.dirname(os... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/cli/gui.py",
"license": "MIT License",
"lines": 383,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
geekcomputers/Python:ML/src/python/neuralforge/cli/nas.py | import argparse
import torch
from neuralforge.nas.search_space import SearchSpace
from neuralforge.nas.evolution import EvolutionarySearch
from neuralforge.nas.evaluator import ProxyEvaluator
from neuralforge.data.datasets import get_dataset
from neuralforge.data.dataset import SyntheticDataset, DataLoaderBuilder
from ... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/cli/nas.py",
"license": "MIT License",
"lines": 57,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
geekcomputers/Python:ML/src/python/neuralforge/cli/test.py | import argparse
import sys
import os
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
import torch
import torch.nn.functional as F
from torchvision import transforms
from PIL import Image
import numpy as np
from neuralforge.data.datasets import get_dataset, get_num_classes
from neuralf... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/cli/test.py",
"license": "MIT License",
"lines": 108,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
geekcomputers/Python:ML/src/python/neuralforge/cli/train.py | import argparse
import sys
import torch
import torch.nn as nn
import random
import numpy as np
from neuralforge.trainer import Trainer
from neuralforge.config import Config
from neuralforge.data.datasets import get_dataset, get_num_classes
from neuralforge.data.dataset import SyntheticDataset, DataLoaderBuilder
from n... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/cli/train.py",
"license": "MIT License",
"lines": 178,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
geekcomputers/Python:ML/src/python/neuralforge/config.py | import json
import os
from typing import Any, Dict, Optional
from dataclasses import dataclass, asdict
@dataclass
class Config:
model_name: str = "neuralforge_model"
batch_size: int = 32
epochs: int = 100
learning_rate: float = 0.001
weight_decay: float = 0.0001
optimizer: str = "adamw"
sch... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/config.py",
"license": "MIT License",
"lines": 45,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
geekcomputers/Python:ML/src/python/neuralforge/data/augmentation.py | import torch
import random
import numpy as np
from PIL import Image, ImageEnhance, ImageOps
from typing import List, Tuple
class RandAugment:
def __init__(self, n: int = 2, m: int = 9):
self.n = n
self.m = m
self.augment_list = [
(self.auto_contrast, 0, 1),
(self.equ... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/data/augmentation.py",
"license": "MIT License",
"lines": 161,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
geekcomputers/Python:ML/src/python/neuralforge/data/dataset.py | import torch
from torch.utils.data import Dataset, DataLoader
from torchvision import datasets, transforms
from PIL import Image
import os
from typing import Optional, Callable, Tuple, List
import numpy as np
class ImageDataset(Dataset):
def __init__(
self,
root: str,
transform: Optional[Ca... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/data/dataset.py",
"license": "MIT License",
"lines": 147,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
geekcomputers/Python:ML/src/python/neuralforge/data/datasets.py | import torch
from torch.utils.data import Dataset
from torchvision import datasets, transforms
import os
from typing import Optional, Callable
class CIFAR10Dataset:
def __init__(self, root='./data', train=True, transform=None, download=True):
if transform is None:
if train:
tran... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/data/datasets.py",
"license": "MIT License",
"lines": 288,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
geekcomputers/Python:ML/src/python/neuralforge/data/transforms.py | from torchvision import transforms
import torch
from typing import List, Tuple
def get_transforms(image_size: int = 224, is_training: bool = True, mean=None, std=None):
if mean is None:
mean = [0.485, 0.456, 0.406]
if std is None:
std = [0.229, 0.224, 0.225]
if is_training:
ret... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/data/transforms.py",
"license": "MIT License",
"lines": 87,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
geekcomputers/Python:ML/src/python/neuralforge/models/efficientnet.py | import torch.nn as nn
from ..nn.convolution import EfficientNetBlock
class EfficientNetB0(nn.Module):
def __init__(self, num_classes=1000):
super().__init__()
self.stem = nn.Sequential(
nn.Conv2d(3, 32, 3, stride=2, padding=1, bias=False),
nn.BatchNorm2d(32),
... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/models/efficientnet.py",
"license": "MIT License",
"lines": 38,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
geekcomputers/Python:ML/src/python/neuralforge/models/resnet.py | import torch.nn as nn
from ..nn.convolution import ResNetBlock
def ResNet18(num_classes=1000, in_channels=3):
from ..nn.convolution import ResNet
return ResNet(ResNetBlock, [2, 2, 2, 2], num_classes, in_channels)
def ResNet34(num_classes=1000, in_channels=3):
from ..nn.convolution import ResNet
return... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/models/resnet.py",
"license": "MIT License",
"lines": 12,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
geekcomputers/Python:ML/src/python/neuralforge/models/vit.py | import torch.nn as nn
from ..nn.attention import VisionTransformerBlock
def VisionTransformer(
img_size=224,
patch_size=16,
in_channels=3,
num_classes=1000,
embed_dim=768,
depth=12,
num_heads=12,
mlp_ratio=4.0,
dropout=0.1
):
return VisionTransformerBlock(
img_size=img_s... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/models/vit.py",
"license": "MIT License",
"lines": 23,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
geekcomputers/Python:ML/src/python/neuralforge/nas/evaluator.py | import torch
import torch.nn as nn
from torch.utils.data import DataLoader, Subset
import time
from typing import Tuple
from .search_space import SearchSpace, Architecture
class ModelEvaluator:
def __init__(
self,
train_loader: DataLoader,
val_loader: DataLoader,
device: str = 'cuda... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/nas/evaluator.py",
"license": "MIT License",
"lines": 108,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
geekcomputers/Python:ML/src/python/neuralforge/nas/evolution.py | import torch
import random
import numpy as np
from typing import List, Dict, Any
from tqdm import tqdm
from .search_space import SearchSpace, Architecture
from .evaluator import ModelEvaluator
class EvolutionarySearch:
def __init__(
self,
search_space: SearchSpace,
evaluator: ModelEvaluator... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/nas/evolution.py",
"license": "MIT License",
"lines": 101,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
geekcomputers/Python:ML/src/python/neuralforge/nas/search_space.py | import torch
import torch.nn as nn
from typing import List, Dict, Any, Optional
import random
import numpy as np
class Architecture:
def __init__(self, genome: List[int]):
self.genome = genome
self.fitness = 0.0
self.accuracy = 0.0
self.params = 0
self.flops = 0
def... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/nas/search_space.py",
"license": "MIT License",
"lines": 149,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
geekcomputers/Python:ML/src/python/neuralforge/nn/activations.py | import torch
import torch.nn as nn
import torch.nn.functional as F
class GELU(nn.Module):
def __init__(self):
super().__init__()
def forward(self, x):
return 0.5 * x * (1.0 + torch.tanh(0.7978845608 * (x + 0.044715 * torch.pow(x, 3))))
class Swish(nn.Module):
def __init__(self):
... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/nn/activations.py",
"license": "MIT License",
"lines": 92,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
geekcomputers/Python:ML/src/python/neuralforge/nn/attention.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import math
from typing import Optional
class MultiHeadAttention(nn.Module):
def __init__(self, embed_dim, num_heads, dropout=0.1, bias=True):
super().__init__()
assert embed_dim % num_heads == 0
self.embed_dim = em... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/nn/attention.py",
"license": "MIT License",
"lines": 161,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
geekcomputers/Python:ML/src/python/neuralforge/nn/convolution.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from typing import List, Optional
class ResNetBlock(nn.Module):
def __init__(self, in_channels, out_channels, stride=1, downsample=None):
super().__init__()
self.conv1 = nn.Conv2d(in_channels, out_channels, kernel_size=3, stride=str... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/nn/convolution.py",
"license": "MIT License",
"lines": 197,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
geekcomputers/Python:ML/src/python/neuralforge/nn/layers.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from typing import Optional
class ConvBlock(nn.Module):
def __init__(self, in_channels, out_channels, kernel_size=3, stride=1, padding=1,
use_bn=True, activation='relu', drop_rate=0.0):
super().__init__()
self.conv... | {
"repo_id": "geekcomputers/Python",
"file_path": "ML/src/python/neuralforge/nn/layers.py",
"license": "MIT License",
"lines": 146,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
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