| summaryrefslogtreecommitdiff | 
diff options
| -rw-r--r-- | LICENSE | 191 | ||||
| -rw-r--r-- | README.md | 6 | ||||
| -rw-r--r-- | tonkadur.py | 282 | ||||
| -rw-r--r-- | tonkadur_ui.py | 48 | 
4 files changed, 527 insertions, 0 deletions
| @@ -0,0 +1,191 @@ + +                                 Apache License +                           Version 2.0, January 2004 +                        http://www.apache.org/licenses/ + +   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + +   1. Definitions. + +      "License" shall mean the terms and conditions for use, reproduction, +      and distribution as defined by Sections 1 through 9 of this document. + +      "Licensor" shall mean the copyright owner or entity authorized by +      the copyright owner that is granting the License. + +      "Legal Entity" shall mean the union of the acting entity and all +      other entities that control, are controlled by, or are under common +      control with that entity. For the purposes of this definition, +      "control" means (i) the power, direct or indirect, to cause the +      direction or management of such entity, whether by contract or +      otherwise, or (ii) ownership of fifty percent (50%) or more of the +      outstanding shares, or (iii) beneficial ownership of such entity. + +      "You" (or "Your") shall mean an individual or Legal Entity +      exercising permissions granted by this License. + +      "Source" form shall mean the preferred form for making modifications, +      including but not limited to software source code, documentation +      source, and configuration files. + +      "Object" form shall mean any form resulting from mechanical +      transformation or translation of a Source form, including but +      not limited to compiled object code, generated documentation, +      and conversions to other media types. + +      "Work" shall mean the work of authorship, whether in Source or +      Object form, made available under the License, as indicated by a +      copyright notice that is included in or attached to the work +      (an example is provided in the Appendix below). + +      "Derivative Works" shall mean any work, whether in Source or Object +      form, that is based on (or derived from) the Work and for which the +      editorial revisions, annotations, elaborations, or other modifications +      represent, as a whole, an original work of authorship. For the purposes +      of this License, Derivative Works shall not include works that remain +      separable from, or merely link (or bind by name) to the interfaces of, +      the Work and Derivative Works thereof. + +      "Contribution" shall mean any work of authorship, including +      the original version of the Work and any modifications or additions +      to that Work or Derivative Works thereof, that is intentionally +      submitted to Licensor for inclusion in the Work by the copyright owner +      or by an individual or Legal Entity authorized to submit on behalf of +      the copyright owner. For the purposes of this definition, "submitted" +      means any form of electronic, verbal, or written communication sent +      to the Licensor or its representatives, including but not limited to +      communication on electronic mailing lists, source code control systems, +      and issue tracking systems that are managed by, or on behalf of, the +      Licensor for the purpose of discussing and improving the Work, but +      excluding communication that is conspicuously marked or otherwise +      designated in writing by the copyright owner as "Not a Contribution." + +      "Contributor" shall mean Licensor and any individual or Legal Entity +      on behalf of whom a Contribution has been received by Licensor and +      subsequently incorporated within the Work. + +   2. Grant of Copyright License. Subject to the terms and conditions of +      this License, each Contributor hereby grants to You a perpetual, +      worldwide, non-exclusive, no-charge, royalty-free, irrevocable +      copyright license to reproduce, prepare Derivative Works of, +      publicly display, publicly perform, sublicense, and distribute the +      Work and such Derivative Works in Source or Object form. + +   3. Grant of Patent License. Subject to the terms and conditions of +      this License, each Contributor hereby grants to You a perpetual, +      worldwide, non-exclusive, no-charge, royalty-free, irrevocable +      (except as stated in this section) patent license to make, have made, +      use, offer to sell, sell, import, and otherwise transfer the Work, +      where such license applies only to those patent claims licensable +      by such Contributor that are necessarily infringed by their +      Contribution(s) alone or by combination of their Contribution(s) +      with the Work to which such Contribution(s) was submitted. If You +      institute patent litigation against any entity (including a +      cross-claim or counterclaim in a lawsuit) alleging that the Work +      or a Contribution incorporated within the Work constitutes direct +      or contributory patent infringement, then any patent licenses +      granted to You under this License for that Work shall terminate +      as of the date such litigation is filed. + +   4. Redistribution. You may reproduce and distribute copies of the +      Work or Derivative Works thereof in any medium, with or without +      modifications, and in Source or Object form, provided that You +      meet the following conditions: + +      (a) You must give any other recipients of the Work or +          Derivative Works a copy of this License; and + +      (b) You must cause any modified files to carry prominent notices +          stating that You changed the files; and + +      (c) You must retain, in the Source form of any Derivative Works +          that You distribute, all copyright, patent, trademark, and +          attribution notices from the Source form of the Work, +          excluding those notices that do not pertain to any part of +          the Derivative Works; and + +      (d) If the Work includes a "NOTICE" text file as part of its +          distribution, then any Derivative Works that You distribute must +          include a readable copy of the attribution notices contained +          within such NOTICE file, excluding those notices that do not +          pertain to any part of the Derivative Works, in at least one +          of the following places: within a NOTICE text file distributed +          as part of the Derivative Works; within the Source form or +          documentation, if provided along with the Derivative Works; or, +          within a display generated by the Derivative Works, if and +          wherever such third-party notices normally appear. The contents +          of the NOTICE file are for informational purposes only and +          do not modify the License. You may add Your own attribution +          notices within Derivative Works that You distribute, alongside +          or as an addendum to the NOTICE text from the Work, provided +          that such additional attribution notices cannot be construed +          as modifying the License. + +      You may add Your own copyright statement to Your modifications and +      may provide additional or different license terms and conditions +      for use, reproduction, or distribution of Your modifications, or +      for any such Derivative Works as a whole, provided Your use, +      reproduction, and distribution of the Work otherwise complies with +      the conditions stated in this License. + +   5. Submission of Contributions. Unless You explicitly state otherwise, +      any Contribution intentionally submitted for inclusion in the Work +      by You to the Licensor shall be under the terms and conditions of +      this License, without any additional terms or conditions. +      Notwithstanding the above, nothing herein shall supersede or modify +      the terms of any separate license agreement you may have executed +      with Licensor regarding such Contributions. + +   6. Trademarks. This License does not grant permission to use the trade +      names, trademarks, service marks, or product names of the Licensor, +      except as required for reasonable and customary use in describing the +      origin of the Work and reproducing the content of the NOTICE file. + +   7. Disclaimer of Warranty. Unless required by applicable law or +      agreed to in writing, Licensor provides the Work (and each +      Contributor provides its Contributions) on an "AS IS" BASIS, +      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or +      implied, including, without limitation, any warranties or conditions +      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A +      PARTICULAR PURPOSE. You are solely responsible for determining the +      appropriateness of using or redistributing the Work and assume any +      risks associated with Your exercise of permissions under this License. + +   8. Limitation of Liability. In no event and under no legal theory, +      whether in tort (including negligence), contract, or otherwise, +      unless required by applicable law (such as deliberate and grossly +      negligent acts) or agreed to in writing, shall any Contributor be +      liable to You for damages, including any direct, indirect, special, +      incidental, or consequential damages of any character arising as a +      result of this License or out of the use or inability to use the +      Work (including but not limited to damages for loss of goodwill, +      work stoppage, computer failure or malfunction, or any and all +      other commercial damages or losses), even if such Contributor +      has been advised of the possibility of such damages. + +   9. Accepting Warranty or Additional Liability. While redistributing +      the Work or Derivative Works thereof, You may choose to offer, +      and charge a fee for, acceptance of support, warranty, indemnity, +      or other liability obligations and/or rights consistent with this +      License. However, in accepting such obligations, You may act only +      on Your own behalf and on Your sole responsibility, not on behalf +      of any other Contributor, and only if You agree to indemnify, +      defend, and hold each Contributor harmless for any liability +      incurred by, or claims asserted against, such Contributor by reason +      of your accepting any such warranty or additional liability. + +   END OF TERMS AND CONDITIONS + +   Copyright 2020 Nathanael Sensfelder + +   Licensed under the Apache License, Version 2.0 (the "License"); +   you may not use this file except in compliance with the License. +   You may obtain a copy of the License at + +       http://www.apache.org/licenses/LICENSE-2.0 + +   Unless required by applicable law or agreed to in writing, software +   distributed under the License is distributed on an "AS IS" BASIS, +   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +   See the License for the specific language governing permissions and +   limitations under the License. diff --git a/README.md b/README.md new file mode 100644 index 0000000..aed62fb --- /dev/null +++ b/README.md @@ -0,0 +1,6 @@ +#  +Python3 interpreter for [Tonkadur](https://tonkadur.of.tacticians.online/), +a narrative scripting language. + +This interpreter is mainly for testing purposes and should likely not be used +as-is within your game engine. diff --git a/tonkadur.py b/tonkadur.py new file mode 100644 index 0000000..d4b2e73 --- /dev/null +++ b/tonkadur.py @@ -0,0 +1,282 @@ +import copy +import json +import math +import random + +class Tonkadur: +    def generate_instance_of (self, typedef): +        if (typedef['category'] == "boolean"): +            return False +        elif (typedef['category'] == "float"): +            return 0.0 +        elif (typedef['category'] == "int"): +            return 0 +        elif (typedef['category'] == "rich_text"): +            result = dict() +            result['content'] = [] +            result['effect'] = None +            return result +        elif (typedef['category'] == "string"): +            return "" +        elif (typedef['category'] == "list"): +            return dict() +        elif (typedef['category'] == "pointer"): +            return [] +        elif (typedef['category'] == "structure"): +            return copy.deepcopy(self.types[typedef['name']]) + +    def __init__ (self, json_file): +        self.memory = dict() +        self.types = dict() +        self.sequences = dict() +        self.code = [] +        self.program_counter = 0 +        self.allocated_data = 0 +        self.available_choices = [] + +        with open(json_file, 'r') as f: +            json_content = json.load(f) + +            #### INITIALIZE TYPES ############################################## +            for typedef in json_content['structure_types']: +                new_type = dict() + +                for field in typedef['fields']: +                    new_type[field['name']] = self.generate_instance_of(field['type']) + +                self.types[typedef['name']] = new_type + +            #### INITIALIZE VARIABLES ########################################## +            for vardef in json_content['variables']: +                self.memory[vardef['name']] = self.generate_instance_of(vardef['type']) + +            #### INITIALIZE SEQUENCES ########################################## +            for seqdef in json_content['sequences']: +                self.sequences[seqdef['name']] = seqdef['line'] + +            #### INITIALIZE CODE ############################################### +            self.code = json_content['code'] + + +    def compute (self, computation): +        computation_category = computation['category'] + +        if (computation_category == "add_rich_text_effect"): +            effect = dict() +            effect['name'] = computation['effect'] +            effect['parameters'] = [] + +            for c in computation['parameters']: +                effect['parameters'].append(self.compute(c)) + +            result = dict() +            result['content'] = [] +            result['effect'] = effect + +            for c in computation['content']: +                result['content'].append(self.compute(c)) + +            return result +        elif (computation_category == "cast"): +            origin_type = computation['from']['category'] +            target_type = computation['to']['category'] +            content = self.compute(computation['content']) + +            if (target_type == "string"): +                return str(content) +            elif (target_type == "float"): +                return float(content) +            elif (target_type == "boolean"): +                if (origin_type == "string"): +                    return (content == "true") +                elif (origin_type == "int"): +                    return (content != 0) +            elif (target_type == "int"): +                if (origin_type == "float"): +                    return math.floor(content) +                else: +                    return int(content) +        elif (computation_category == "constant"): +            target_type = computation['type']['category'] +            content = computation['value'] + +            if (target_type == "string"): +                return content +            elif (target_type == "float"): +                return float(content) +            elif (target_type == "boolean"): +                return (content == "true") +            elif (target_type == "int"): +                return int(content) +            else: +                print("Unknown Constant type '" + str(target_type) + "'") +                raise "error" +        elif (computation_category == "if_else"): +            cond = self.compute(computation['condition']) + +            if (cond): +                return self.compute(computation['if_true']) +            else: +                return self.compute(computation['if_false']) +        elif (computation_category == "new"): +            address = ".alloc." + self.allocated_data +            self.allocated_data += 1 +            self.memory[address] = self.generate_instance_of(computation['target']) + +            return [address] +        elif (computation_category == "operation"): +            operator = computation['operator'] +            x = self.compute(computation['x']) +            y = self.compute(computation['y']) if ('y' in computation) else None +            if (operator == "divide"): +                if (isinstance(x, int)): +                    return x // y +                else: +                    return x / y +            elif (operator == "minus"): +                return x - y +            elif (operator == "modulo"): +                return x % y +            elif (operator == "plus"): +                return x + y +            elif (operator == "power"): +                return x ** y +            elif (operator == "rand"): +                return random.randint(x, y) +            elif (operator == "times"): +                return x * y +            elif (operator == "and"): +                return x and y +            elif (operator == "not"): +                return not x +            elif (operator == "less_than"): +                return x < y +            elif (operator == "equals"): +                return x == y +            else: +                print("unknown operator " + operator) + +        elif (computation_category == "ref"): +            return [self.compute(computation['address'])] +        elif (computation_category == "relative_ref"): +            base = self.compute(computation['base']) +            base.append(self.compute(computation['extra'])) +            return base +        elif (computation_category == "rich_text"): +            result = dict() +            result['effect'] = None +            result['content'] = [] +            for c in computation['content']: +                result['content'].append(self.compute(c)) + +            return result +        elif (computation_category == "size"): +            target = self.memory +            access = self.compute(computation['reference']) + +            for addr in access: +                target = target[addr] + +            return len(target) +        elif (computation_category == "value_of"): +            target = self.memory +            access = self.compute(computation['reference']) + +            for addr in access: +                target = target[addr] + +            return target + +    def resolve_choice_to (self, line): +        self.available_choices = [] +        self.program_counter = line + +    def run (self): +        while True: +            #print("\nline: " + str(self.program_counter)) +            instruction = self.code[self.program_counter] +            instruction_category = instruction['category'] +            #print("instruction:" + str(instruction)) + +            if (instruction_category == "add_choice"): +                self.available_choices.append( +                    [ +                        self.compute(instruction['label']), +                        self.compute(instruction['address']) +                    ] +                ) +                self.program_counter += 1 +            elif (instruction_category == "assert"): +                condition = self.compute(instruction['condition']) + +                if (not condition): +                    result = dict() +                    result["category"] = "assert" +                    result["line"] = self.program_counter +                    result["message"] = self.compute(instruction['message']) +                    self.program_counter += 1 +                    return result + +                self.program_counter += 1 +            elif (instruction_category == "display"): +                result = dict() +                result["category"] = "display" +                result["content"] = self.compute(instruction['content']) +                self.program_counter += 1 + +                return result +            elif (instruction_category == "end"): +                result = dict() +                result["category"] = "end" + +                return result +            elif (instruction_category == "event_call"): +                result = dict() +                result["category"] = "event" +                result["name"] = instruction["event"] +                params = [] + +                for param in instruction['parameters']: +                    params.append(self.compute(param)) + +                result["parameters"] = params + +                self.program_counter += 1 +                return result +            elif (instruction_category == "remove"): +                pre_val = self.memory +                current_val = pre_val +                last_access = "" + +                for access in self.compute(instruction["reference"]): +                    pre_val = current_val +                    last_access = access +                    current_val = current_val[access] + +                del pre_val[last_access] + +                self.program_counter += 1 +            elif (instruction_category == "resolve_choices"): +                result = dict() +                result["category"] = "resolve_choices" +                result["choices"] = self.available_choices + +                return result +            elif (instruction_category == "set_pc"): +                self.program_counter = self.compute(instruction["value"]) +            elif (instruction_category == "set_value"): +                pre_val = self.memory +                current_val = pre_val +                last_access = "" +                access_full = self.compute(instruction["reference"]) + +                for access in access_full: +                    pre_val = current_val +                    last_access = access +                    if (access in current_val): +                        current_val = current_val[access] + +                pre_val[last_access] = self.compute(instruction["value"]) + +                self.program_counter += 1 + diff --git a/tonkadur_ui.py b/tonkadur_ui.py new file mode 100644 index 0000000..4ffaca4 --- /dev/null +++ b/tonkadur_ui.py @@ -0,0 +1,48 @@ +import argparse + +import tonkadur + +parser = argparse.ArgumentParser( +    description = ( +        "Tonkadur Python Interpreter" +    ) +) + +parser.add_argument( +    '-f', +    '--file', +    dest='world_file', +    type = str, +    help = 'Wyrd JSON file to load.', +) + +args = parser.parse_args() +state = tonkadur.Tonkadur(args.world_file) + +#try: +while True: +    result = state.run() +    result_category = result['category'] + +    if (result_category == "end"): +        print("Program ended") +        break +    elif (result_category == "display"): +        print(result['content']) +    elif (result_category == "assert"): +        print("Assert failed at line " + str(result['line']) + ":" + str(result['message'])) +    elif (result_category == "resolve_choices"): +        current_choice = 0; + +        for choice in result['choices']: +            print(str(current_choice) + ". " + ''.join(choice[0]['content'])) +            current_choice += 1 + +        user_choice = input("Your choice? ") +        state.resolve_choice_to(result['choices'][int(user_choice)][1]) +    elif (result_category == "event"): +        print("Unhandled event:" + str(result)) + +#except Error: +#    print("failed.\n") +print(str(state.memory)) | 


